Countly MCP Server

A Model Context Protocol (MCP) server for Countly Analytics Platform. This server enables AI assistants and MCP clients to interact with Countly's analytics data, manage applications, view dashboards, track events, and perform comprehensive analytics operations.

About Countly

Countly is an open-source, enterprise-grade product analytics platform. It helps track user behavior, monitor application performance, and gain insights into user engagement. This MCP server provides programmatic access to all major Countly features through a standard protocol interface.

What is MCP?

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between AI applications and external data sources. This server implements MCP to allow AI assistants like Claude to interact with your Countly analytics data naturally through conversation.

Requirements

Server Requirements

• Node.js 18+ (for local installation) OR Docker (recommended)
• Countly Server: Access to a Countly instance (cloud or self-hosted)
• Auth Token: Valid Countly authentication token with appropriate permissions

Client Requirements

• MCP Protocol Version: 2025-03-26 (Streamable HTTP specification)
• Compatible Clients:
  • VS Code MCP Extension (latest version)
  • Claude Desktop (recent versions supporting 2025-03-26 spec)
  • Any MCP client implementing the Streamable HTTP transport protocol

⚠️ Note: For SSE type this server uses StreamableHTTPServerTransport which implements the modern MCP specification (2025-03-26). Older MCP clients that only support the legacy SSE protocol (2024-11-05) are not compatible. Please ensure your MCP client is up-to-date.

Features

• 133 Tools across 30 categories for comprehensive Countly operations
• Resources for AI context - Access read-only Countly data (app configs, event schemas, analytics overviews)
• Prompts for common tasks - Pre-built templates for crash analysis, engagement reports, and more
• Multiple Transport Options: Supports both stdio (recommended) and HTTP/SSE connections
• Flexible Authentication: Environment variables, HTTP headers, URL parameters, or token files
• Plugin-Aware: Automatically detects and enables tools based on available Countly plugins
• Docker Support: Pre-built Docker images with multi-architecture support (amd64, arm64)
• Anonymous Analytics: Optional usage tracking (disabled by default) to help improve the server

MCP Capabilities

This server implements the full MCP specification with support for:

Tools (133 available)

Execute Countly operations like analytics queries, app management, crash analysis, etc.

Resources

Read-only access to Countly data for AI context:

• countly://app/{app_id}/config - Application configuration and metadata
• countly://app/{app_id}/events - Event definitions and schemas
• countly://app/{app_id}/overview - Current analytics overview with key metrics

Resources provide AI assistants with context without requiring tool calls, making conversations more efficient.

Prompts

Pre-built analysis templates exposed as slash commands:

• analyze_crash_trends - Analyze crash and error patterns
• generate_engagement_report - Comprehensive user engagement analysis
• compare_app_versions - Compare performance between versions
• user_retention_analysis - Analyze retention patterns and cohorts
• funnel_optimization - Conversion funnel analysis and suggestions
• event_health_check - Event tracking implementation quality check
• identify_churn_risk - Find users showing decreased engagement
• performance_dashboard - Comprehensive performance overview

Prompts guide AI assistants through complex multi-step workflows automatically.

• 🔐 Multiple authentication methods (HTTP headers, environment variables, file-based)
• 📊 Comprehensive Countly API access
• ⚙️ Fine-grained tools configuration with CRUD operation control per category
• 🐳 Docker support with production-ready configuration
• 🔄 Support for both stdio and HTTP transports
• 🏥 Built-in health checks
• 🔒 Secure token handling with cryptographically secure session IDs
• 🌐 Multi-client support with per-client credential passing
• 🚨 Enhanced error handling with detailed API error messages

Quick Start

Prerequisites

Before starting, ensure you have:

• Access to a Countly instance (cloud or self-hosted)
• Valid Countly authentication token with appropriate permissions
• Node.js 18+ (for local installation) OR Docker (recommended)
• MCP client supporting protocol version 2025-03-26 (Streamable HTTP)

Using npx (No Installation)

Run the published package directly with npx — no clone or build required:

# stdio mode (for MCP clients like Claude Desktop, VS Code)
COUNTLY_SERVER_URL=https://your-countly-instance.com \
COUNTLY_AUTH_TOKEN=your-countly-auth-token \
npx -y countly-mcp-server

# HTTP mode
COUNTLY_SERVER_URL=https://your-countly-instance.com \
COUNTLY_AUTH_TOKEN=your-countly-auth-token \
npx -y countly-mcp-server --http

Example MCP client configuration (stdio):

{
  "mcpServers": {
    "countly": {
      "command": "npx",
      "args": ["-y", "countly-mcp-server"],
      "env": {
        "COUNTLY_SERVER_URL": "https://your-countly-instance.com",
        "COUNTLY_AUTH_TOKEN": "your-countly-auth-token"
      }
    }
  }
}

Using Docker (Recommended)

1. Create a token file:

   echo "your-countly-auth-token" > countly_token.txt

2. Create a .env file:

   cp .env.example .env
   # Edit .env and set your COUNTLY_SERVER_URL

3. Run with Docker Compose:

   docker-compose up -d

4. Access the server:

   • HTTP/SSE mode: http://localhost:3000/mcp
   • Health check: http://localhost:3000/health
   • Default port: 3000 (configurable)

Using Docker Run

docker run -d \
  --name countly-mcp-server \
  -p 3000:3000 \
  -e COUNTLY_SERVER_URL=https://your-countly-instance.com \
  -e COUNTLY_AUTH_TOKEN_FILE=/run/secrets/countly_token \
  -v $(pwd)/countly_token.txt:/run/secrets/countly_token:ro \
  countly-mcp-server

Using Node.js

1. Install dependencies:

   npm install

2. Build the project:

   npm run build

3. Configure environment:

   cp .env.example .env
   # Edit .env with your settings

4. Run the server:

   # HTTP mode
   npm start
   
   # stdio mode (for MCP clients)
   npm run start:stdio

Authentication

The server supports multiple authentication methods (in priority order):

1. HTTP Headers (recommended for HTTP/SSE transport)

   • Pass via X-Countly-Server-Url and X-Countly-Auth-Token headers
   • Supported by VS Code MCP extension and other HTTP clients
   • See VS Code MCP Configuration for details

2. URL Parameters (alternative for HTTP/SSE transport)

   • Pass as query string: ?server_url=https://your-server.count.ly&auth_token=your-api-key
   • Useful for quick testing or tools that don't support custom headers
   • Less secure than headers, use headers when possible

3. Tool Arguments

   • Passed as countly_auth_token parameter in individual tool calls

4. Environment Variable

   • Set COUNTLY_AUTH_TOKEN in environment
   • Recommended for stdio transport mode

5. Token File (recommended for production)

   • Set COUNTLY_AUTH_TOKEN_FILE pointing to a file containing the token
   • Useful with Docker secrets

Configuration

Environment Variables

Variable	Required	Default	Description
COUNTLY_SERVER_URL	Yes	https://api.count.ly	Your Countly server URL
COUNTLY_AUTH_TOKEN	No*	-	Authentication token (direct)
COUNTLY_AUTH_TOKEN_FILE	No*	-	Path to file containing auth token
COUNTLY_TIMEOUT	No	30000	Request timeout in milliseconds
ENABLE_ANALYTICS	No	false	Enable anonymous usage analytics (set to true to opt in)
COUNTLY_TOOLS_{CATEGORY}	No	ALL	Control available tools per category (see below)
COUNTLY_TOOLS_ALL	No	ALL	Default permission for all categories
COUNTLY_CORS_ALLOWED_ORIGINS	No	*	Comma-separated list of allowed CORS origins (HTTP transport). Leave unset or * for wide-open; use specific origins in production (e.g. https://app.example.com,https://dash.example.com).
COUNTLY_RATE_LIMIT_RPM	No	120	Per-IP requests per minute on the /mcp endpoint (HTTP transport). Set to 0 to disable.
COUNTLY_TRUST_PROXY	No	false	When true, use X-Forwarded-For for the rate-limit client IP. Only enable when the server is behind a trusted reverse proxy that sets this header.
COUNTLY_MAX_BODY_BYTES	No	1048576	Maximum request-body size accepted on /mcp (HTTP transport). Requests over the limit get 413 Payload Too Large. Set to 0 to disable.
COUNTLY_MAX_CONCURRENT_PER_IP	No	50	Maximum simultaneous TCP connections per client IP (HTTP transport). Over-limit connections are dropped. Set to 0 to disable.
COUNTLY_REQUEST_LOG	No	false	When true, emit one NDJSON line per request to stderr ({ts, ip, method, path, status, durationMs, rateLimitHit}). Useful for piping into a log aggregator to spot abuse patterns.

*At least one authentication method must be configured

Analytics Tracking (Optional)

The MCP server includes optional anonymous usage analytics to help improve the product. Analytics are disabled by default and can be opted into via the ENABLE_ANALYTICS=true environment variable.

What is tracked:

• Transport type used (stdio vs HTTP)
• Tool execution metrics (success/failure, duration, tool names)
• Authentication methods used (headers, env, file, args)
• HTTP endpoint access patterns
• Error occurrences (type and message, NO sensitive data)
• Server start/stop events
• A truncated opaque hash of your Countly server URL (64-bit SHA-256 prefix), attached as the server segment on every event — used for distinct-server aggregation. The raw URL is never sent.

What is NOT tracked:

• Authentication tokens or credentials
• Raw Countly server URLs or domains (only the opaque server hash above)
• User data or analytics content
• Personal information
• IP addresses or client identifiers
• Tool arguments or request/response bodies

Privacy & Device ID: All analytics are aggregated under a single device ID "mcp" — Countly cannot distinguish individual operators from the device ID alone. The only per-deployment signal is the server hash on events, which is a truncated SHA-256 of the normalized server URL. The hash is intentionally coarse (64 bits) and the server URL is low-entropy, so do not assume the hash is unguessable for cloud patterns; it is meant for aggregation, not secrecy.

To opt in:

export ENABLE_ANALYTICS=true

Or in your .env file:

ENABLE_ANALYTICS=true

Tools Configuration

The server supports fine-grained control over which MCP tools are available and which CRUD operations they can perform. This is useful for security, governance, or creating read-only deployments.

Configure tools by category using environment variables:

# Format: COUNTLY_TOOLS_{CATEGORY}=CRUD
# Where CRUD letters represent: Create, Read, Update, Delete operations

# Examples:
COUNTLY_TOOLS_APPS=CR          # Apps: Create and Read only
COUNTLY_TOOLS_DATABASE=R       # Database: Read-only access
COUNTLY_TOOLS_CRASHES=CRUD     # Crashes: Full access
COUNTLY_TOOLS_ALERTS=NONE      # Alerts: Completely disabled

# Set default for all categories:
COUNTLY_TOOLS_ALL=R            # Read-only mode for all tools

Available Categories:

• CORE - Core tools (ping, get_version, get_plugins) (3 tools)
• APPS - Application management (6 tools)
• ANALYTICS - Analytics data retrieval (7 tools)
• CRASHES - Crash analytics and management (10 tools)
• NOTES - Notes management (3 tools)
• EVENTS - Event configuration (1 tool)
• ALERTS - Alert management (3 tools)
• VIEWS - Views analytics (3 tools)
• DATABASE - Direct database access (6 tools)
• DASHBOARD_USERS - Dashboard user management (1 tool)
• APP_USERS - App user management (3 tools)

Total: 42 tools across 11 categories

For complete documentation, examples, and per-tool CRUD mappings, see TOOLS_CONFIGURATION.md.

Security & Production Hardening

The HTTP transport is designed to be usable both as a public-facing MCP endpoint (e.g. mcp.count.ly) and as a self-hosted single-tenant server. The defaults favor compatibility; operators should opt into the tighter settings below based on their deployment model.

Multi-tenant isolation

The HTTP transport is safe to use with multiple concurrent clients using different Countly auth tokens. Each request gets its own outbound axios instance with the countly-token header baked in, and each tenant's apps cache is keyed by SHA-256(token) so one tenant's apps cannot leak into another tenant's resolveAppId lookup.

No operator configuration is required for this.

SSRF

Caller-supplied server URLs (via X-Countly-Server-Url header or ?server_url= query param) are validated against an SSRF denylist — loopback, link-local, RFC 1918, carrier-grade NAT, cloud metadata endpoints (169.254.169.254), .local/.localhost, and non-HTTP(S) schemes are rejected with a 400. This is a syntactic check; defense against DNS-rebinding still requires egress firewalling the server.

Credentials in URLs are deprecated

Passing the auth token via ?auth_token= is supported for backward compatibility but emits a rate-limited security warning to stderr. Tokens in URLs leak into access logs, browser history, and Referer headers. Migrate callers to X-Countly-Auth-Token — URL-param support will be removed in a future release.

Rate limiting

The /mcp endpoint has a per-IP sliding-window rate limiter, defaulting to 120 requests per minute. Tune via COUNTLY_RATE_LIMIT_RPM=<n> (set to 0 to disable). Behind a trusted reverse proxy, set COUNTLY_TRUST_PROXY=true so the first X-Forwarded-For hop is used as the client IP.

Resource-exhaustion defenses

Additional protections layered on top of the application-level rate limit:

• Request body cap (COUNTLY_MAX_BODY_BYTES, default 1 MiB) — 413 Payload Too Large + socket destroyed for oversize bodies. Checked both upfront via Content-Length and streamingly (for chunked / lying clients).
• Per-IP concurrent connection cap (COUNTLY_MAX_CONCURRENT_PER_IP, default 50) — over-limit TCP connections are dropped before the TLS handshake, closing the slow-loris amplification.
• Server timeouts — requestTimeout=30s, headersTimeout=10s, keepAliveTimeout=5s, timeout=60s. Slow clients can't keep sockets open indefinitely.

For operators that want per-request audit logs for abuse detection, set COUNTLY_REQUEST_LOG=true. The server will emit one NDJSON line per request to stderr, containing only the fields listed in the env-var table — no auth tokens, no bodies, no headers.

CORS

The default is Access-Control-Allow-Origin: * so browser-based MCP clients from any origin can connect. If your deployment only needs to serve specific origins, lock it down:

COUNTLY_CORS_ALLOWED_ORIGINS="https://dash.example.com,https://ops.example.com"

The server will then echo only allowed origins and add Vary: Origin. Pre-flight requests from disallowed origins get a 403.

Self-hosted single-tenant deployments

If you're running this as a single-tenant server (e.g. docker run on a VPS for your own AI assistant), prefer one of:

• Bind to localhost only and tunnel through SSH: docker run -p 127.0.0.1:3000:3000 ...
• Bind behind a reverse proxy (Caddy, Nginx, Traefik) that terminates TLS, adds authentication if needed, and sets a trusted X-Forwarded-For (then set COUNTLY_TRUST_PROXY=true).

The default Dockerfile binds to 0.0.0.0:3000 so it works inside a container without extra flags. This means docker run -p 3000:3000 ... exposes the MCP endpoint to the public internet — use an explicit local bind, a reverse proxy, or an external firewall if that's not what you want.

Telemetry

Analytics are disabled by default. Opt in with ENABLE_ANALYTICS=true. No authentication tokens, server URLs, or tool arguments are ever sent to stats.count.ly; error messages shipped to the analytics SDK are redacted for token-shaped substrings.

Docker Deployment

Docker Hub

Pull the image from Docker Hub:

docker pull countly/countly-mcp-server:latest

Build Locally

docker build -t countly-mcp-server .

Docker Compose

The included docker-compose.yml provides a production-ready setup with:

• Docker secrets for secure token storage
• Health checks
• Resource limits
• Automatic restart
• Proper logging configuration

Docker Swarm / Kubernetes

For orchestrated deployments, use external secrets:

Docker Swarm:

# Create secret
echo "your-token" | docker secret create countly_token -

# Deploy stack
docker stack deploy -c docker-compose.yml countly

Kubernetes:

apiVersion: v1
kind: Secret
metadata:
  name: countly-token
type: Opaque
stringData:
  token: your-countly-auth-token
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: countly-mcp-server
spec:
  replicas: 1
  selector:
    matchLabels:
      app: countly-mcp-server
  template:
    metadata:
      labels:
        app: countly-mcp-server
    spec:
      containers:
      - name: countly-mcp-server
        image: countly-mcp-server:latest
        ports:
        - containerPort: 3000
        env:
        - name: COUNTLY_SERVER_URL
          value: "https://your-countly-instance.com"
        - name: COUNTLY_AUTH_TOKEN_FILE
          value: "/run/secrets/countly_token"
        volumeMounts:
        - name: token
          mountPath: /run/secrets
          readOnly: true
      volumes:
      - name: token
        secret:
          secretName: countly-token
          items:
          - key: token
            path: countly_token

MCP Client Configuration

Claude Desktop

The most common use case is with Claude Desktop. Add to your Claude configuration file:

Location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Using Docker:

{
  "mcpServers": {
    "countly": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e", "COUNTLY_SERVER_URL=https://your-countly-instance.com",
        "-e", "COUNTLY_AUTH_TOKEN=your-token-here",
        "countly-mcp-server",
        "node", "build/index.js"
      ]
    }
  }
}

Using local installation:

{
  "mcpServers": {
    "countly": {
      "command": "node",
      "args": ["/path/to/countly-mcp-server/build/index.js"],
      "env": {
        "COUNTLY_SERVER_URL": "https://your-countly-instance.com",
        "COUNTLY_AUTH_TOKEN": "your-token-here"
      }
    }
  }
}

Using environment variable for token (alternative):

{
  "mcpServers": {
    "countly": {
      "command": "node",
      "args": ["/path/to/countly-mcp-server/build/index.js"],
      "env": {
        "COUNTLY_SERVER_URL": "https://your-countly-instance.com",
        "COUNTLY_AUTH_TOKEN": "your-token-here"
      }
    }
  }
}

Other MCP Clients

This server is compatible with any MCP client that supports:

• stdio transport (default) - For local/desktop clients (uses environment variables for auth)
• HTTP/SSE transport - For web-based or remote clients (uses HTTP headers for auth)

For HTTP mode, clients should connect to: http://your-server:3000/mcp

Available Tools

The server provides 134 tools across 30 categories for comprehensive Countly integration:

Core Tools (OpenAI/ChatGPT Compatible)

• ping - Check if Countly server is healthy and reachable
• get_version - Check what version of Countly is running on the server
• get_plugins - Get list of installed plugins on the server

App Management

• apps_list - List all applications
• apps_get_by_name - Get app details by name
• apps_create - Create new application
• apps_update - Update app settings
• apps_delete - Delete application
• apps_reset - Reset app data

Analytics & Dashboards

• get_analytics_data - Analytics data breakdown by predefined methods (locations, carriers, devices, etc.). For multi-segment breakdowns, use drill tools
• app_analytics_summary - General app summary and analytics overview
• slipping_users - Identify inactive app users
• session_frequency - Session frequency distribution across time buckets (f=0: first session, f=1: 1-24h, f=2: 1 day, through f=11: 30+ days)
• user_loyalty - User loyalty data showing session count distribution across loyalty buckets (1 session, 2 sessions, 3-5, 6-9, 10-19, 20-49, 50-99, 100-499, 500+)
• session_durations - Session duration distribution across duration buckets (0-10 sec, 11-30 sec, 31-60 sec, 1-3 min, 3-10 min, 10-30 min, 30-60 min, 1+ hour)

Events

• events_create - Define event with metadata and configuration
• events_list - List all events and their segments, including internal Countly events with exact database structure
• get_events_data - Basic events data tool. If event is provided, shows breakdown of that event per time bucket. If event is not provided, shows all events total data for the period. For segmenting events by segments, you will need to use the drill tool.

Dashboard User Management

• dashboard_users - List all dashboard users (admin/management users who access the Countly dashboard)

App User Management

• apps_create_user - Create app user (end-user being tracked in your application)
• apps_delete_user - Delete app user (end-user)
• export_app_users - Export app user data (end-users)

Alerts & Notifications

• alerts_create - Create alert configuration
• alerts_delete - Delete alert
• alerts_list - List all alerts

Notes

• notes_list - List all dashboard notes
• notes_create - Create note
• notes_delete - Delete note

Database Operations

• databases_list - List available databases
• databases_query - Query database collections
• databases_document - Get specific document
• collections_aggregate - Run aggregation pipelines
• collections_indexes - View collection indexes
• databases_stats - Database statistics

Crash Analytics

• crash_groups_list - List crash groups for an app
• crashes_stats_get - Get crash statistics and graphs
• crashes_get - View crash details
• crashes_resolve - Mark crash as resolved
• uncrashes_resolve - Mark crash as unresolved
• crashes_hide - Hide crash from view
• crashes_show - Show hidden crash
• crashes_comment_add - Add comment to crash
• crashes_comment_update - Edit crash comment
• crashes_comment_delete - Delete crash comment

Drill Segmentation (requires drill plugin)

• queriable_fields_list - Get available properties for segmentation
• run_query - Run drill query with filters and time buckets
• drill_bookmarks_list - List saved segmentation queries
• drill_bookmarks_create - Save a segmentation query
• drill_bookmarks_delete - Delete a saved query

User Profiles (requires users plugin)

• user_profiles_query - Query users with MongoDB filters
• user_profiles_breakdown - Break down user counts by properties
• user_profiles_get - Get specific user details by UID

Cohorts (requires cohorts plugin)

• cohorts_list - List all user cohorts with filtering
• cohorts_data - Get cohort data over a period
• cohorts_create - Create behavioral cohort based on user actions
• cohorts_update - Update cohort configuration
• cohorts_delete - Delete a cohort

Funnels (requires funnels plugin)

• funnels_list - List all conversion funnels
• funnels_data - Get funnel analytics data with filtering
• funnels_step_users - Get users who reached a specific step
• funnels_dropoff_users - Get users who dropped off between steps
• funnels_create - Create conversion funnel with event sequence
• funnels_update - Update funnel configuration
• funnels_delete - Delete a funnel

Formulas (requires formulas plugin)

• formulas_run - Run mathematical formulas on metrics (sessions, events, users) with filters and segments
• formulas_list - List all saved formulas
• formulas_delete - Delete a saved formula

Live/Concurrent Users (requires concurrent_users plugin)

• live_users - Get current online user count and new users at this moment
• live_metrics - Get breakdown by countries, devices and carriers for users currently online
• live_last_hour - Get minute-by-minute data for the last hour (60 data points)
• live_last_day - Get hour-by-hour data for the last day (24 data points)
• live_last_30_days - Get daily data for the last 30 days (30 data points)
• live_overall - Get maximum values for online users (peak concurrent usage records)

Retention (requires retention_segments plugin)

• retention - Get retention data showing consecutive event streaks. Supports three types: Full (strict - breaks on first skip), Classic (Day N - specific days independently), Unbounded (lenient - any return counts)

Remote Config (requires remote-config plugin)

• remote_configs_list - List all remote config parameters and conditions
• remote_config_conditions_add - Add user segmentation condition using MongoDB queries
• remote_config_conditions_update - Update existing condition criteria
• remote_config_conditions_delete - Delete a condition (if not in use)
• remote_config_parameters_add - Add parameter with default and conditional values
• remote_config_parameters_update - Update parameter values, conditions, or status
• remote_config_parameters_delete - Delete a parameter

A/B Testing (requires ab-testing plugin)

• ab_experiments_list - List all A/B testing experiments with statuses and results
• ab_experiments_details - Get detailed experiment info including variants and statistical significance
• ab_experiments_create - Create new experiment with variants, user targeting, and goals
• ab_experiments_start - Start experiment to begin collecting data
• ab_experiments_stop - Stop running experiment
• ab_experiments_delete - Delete experiment and all its data

Logger (requires logger plugin)

• sdk_logs_list - List incoming data logs sent by SDK to the server for debugging and monitoring

SDKs (requires sdks plugin)

• sdk_stats_get - Get statistics about SDKs sending data (names, versions, request types, health checks)
• sdk_config_get - Get SDK configuration settings controlling SDK behavior and enabled features

Compliance Hub (requires compliance-hub plugin)

• consents_stats - Get aggregated consent statistics showing which consents users gave and when
• consents_list - List specific users and their consent status
• consents_history_search - Search consent history records with detailed audit trail

Filtering Rules (requires blocks plugin)

• filtering_rules_list - List all blocking rules that filter incoming requests
• filtering_rules_create - Create rule to block requests based on MongoDB conditions (IP, version, device properties)
• filtering_rules_update - Update existing blocking rule configuration
• filtering_rules_delete - Delete a blocking rule

Datapoint (requires server-stats plugin)

• datapoints_stats - Get data points collected per app per datapoint type. Data points measure collected data and are tied to server specs and billing.
• datapoints_top_apps - Get top apps ranked by data point collection for understanding data usage and billing
• datapoints_punch_card - Get hourly data point breakdown punchcard showing server load patterns for capacity planning

Server Logs (requires errorlogs plugin)

• server_logs_files_list - List available server log files (only available in non-Docker deployments)
• server_logs_contents - Get contents of a specific server log file for debugging and monitoring (only available in non-Docker deployments)

Email Reports (requires reports plugin)

• email_reports_list - List all email reports configured for an app
• email_reports_core_create - Create a core email report with metrics like analytics, events, crashes, and star-rating
• email_reports_dashboard_create - Create a dashboard email report for specific dashboards
• email_reports_update - Update an existing email report configuration
• email_reports_preview - Preview an email report to see what it will look like before sending
• email_reports_send - Manually trigger sending an email report immediately
• email_reports_delete - Delete an email report configuration

Dashboards (requires dashboards plugin)

• dashboards_list - List all available dashboards (with optional schema-only parameter)
• dashboards_data - Get widgets and data for a specific dashboard with time period filtering
• dashboards_create - Create a new dashboard with sharing settings, auto-refresh configuration, and theme
• dashboards_update - Update dashboard configuration (name, sharing, refresh rate, theme)
• dashboards_delete - Delete a dashboard by ID
• dashboards_widget_add - Add a widget to a dashboard with full configuration (title, feature, widget type, apps, metrics, visualization)
• dashboards_update_widget - Update widget position and size in the grid layout
• dashboards_widget_remove - Remove a widget from a dashboard

Times of Day (requires times-of-day plugin)

• times_of_day - Get user behavior patterns in their local time for a specific event. Shows when users are most active throughout the day (by hour) and week (by day). Useful for understanding optimal engagement times and scheduling.

Hooks (requires hooks plugin)

• hooks_list - List all webhooks/hooks configured for an app. Shows triggers, effects, and configuration details.
• hooks_test - Test a hook configuration with mock data before creating it. Useful for validating trigger conditions and effect actions.
• hooks_create - Create a new webhook/hook with various trigger types (IncomingDataTrigger, APIEndPointTrigger, InternalEventTrigger, ScheduledTrigger) and effects (HTTPEffect, EmailEffect, CustomCodeEffect).
• hooks_update - Update an existing webhook/hook configuration.
• hooks_delete - Delete a webhook/hook by its ID.
• hooks_internal_triggers_get - Get list of available internal Countly events that can be used as triggers for hooks (e.g., /crashes/new, /cohort/enter, /i/apps/create).

All tools support flexible app identification via either app_id or app_name parameter.

Health Check

The server includes a health check endpoint at /health (HTTP mode only):

curl http://localhost:3000/health

Response:

{
  "status": "healthy",
  "timestamp": "2025-10-10T12:00:00.000Z"
}

Server Discovery

The server provides a .well-known discovery endpoint for automated configuration (HTTP mode only):

curl http://localhost:3000/.well-known/mcp-manifest.json

This manifest provides server metadata including:

• Server name, version, and description
• Supported MCP protocol version
• Available endpoints (MCP, health, etc.)
• Supported transports (stdio, HTTP/SSE)
• Server capabilities (tool count, categories, features)
• Authentication methods
• Documentation links
• Repository information

This endpoint can be used by MCP clients for automatic server discovery and capability detection.

MCP Endpoint

When running in HTTP mode, the MCP protocol endpoint is available at:

• Path: /mcp
• Transport: Server-Sent Events (SSE)
• Full URL: http://localhost:3000/mcp

This endpoint handles all MCP protocol communication using the SSE transport method.

Project Structure

countly-mcp-server/
├── src/
│   └── index.ts          # Main server implementation
├── build/                # Compiled JavaScript output
├── docs/                 # Additional documentation
├── .env.example          # Environment configuration template
├── docker-compose.yml    # Docker Compose configuration
├── Dockerfile            # Docker image definition
├── DOCKER.md             # Detailed Docker deployment guide
└── README.md             # This file

Development

Watch Mode

npm run dev

Testing

Run automated tests:

# Run all tests
npm test

# Run tests in watch mode
npm run test:watch

# Generate coverage report
npm run test:coverage

# Run tests for CI
npm run test:ci

Testing Documentation:

• See docs/TESTING.md for complete testing guide
• See docs/TESTING_SUMMARY.md for testing strategy

Current Coverage:

• Authentication and credential handling
• Tool handlers and parameter validation
• HTTP client configuration
• Transport layer (stdio and HTTP/SSE)
• End-to-end server connectivity
• Error handling

---

1. Never commit tokens to version control
2. Use Docker secrets or environment variables for production
3. Restrict file permissions on token files (chmod 600)
4. Use HTTPS for Countly server connections
5. Rotate tokens regularly
6. Use read-only mounts for token files in Docker

Troubleshooting

Connection Issues

# Test connectivity
curl https://your-countly-instance.com/o/apps/mine?auth_token=your-token

# Check Docker logs
docker logs countly-mcp-server

# Check container health
docker ps

Authentication Errors

Verify your token and ensure it has proper permissions in Countly.

License

MIT

Support

For issues and questions:

• GitHub Issues: countly/countly-mcp-server
• Countly Community: https://community.count.ly

CI/CD

This project uses GitHub Actions for automated testing and deployment:

• Automated Tests: Run on every pull request and push to main/develop
  • Tests across Node.js 18, 20, and 22
  • TypeScript compilation verification
  • Test coverage reporting
  • Build smoke tests
• Docker Publishing: Automated builds on version tags (v*.*.*)
  • Multi-architecture support (amd64, arm64)
  • Automatic latest tag updates
  • Tests must pass before publishing

See .github/AUTOMATED_TESTING.md for details.

Contributing

Contributions are welcome! Please read our contributing guidelines before submitting PRs.

Development Workflow:

1. Fork the repository
2. Create a feature branch
3. Make your changes and add tests
4. Run npm test locally
5. Submit a pull request
6. GitHub Actions will automatically run tests
7. Address any feedback and ensure tests pass