Goatcounter
Interact with the Goatcounter web analytics API.
Goatcounter MCP Server
Overview
This project provides a Model Context Protocol (MCP) server for interacting with the Goatcounter web analytics API. It allows language models or other MCP clients to easily query Goatcounter statistics and information using a standardized tool interface.
The server is built using Python and the FastMCP library. It reads your Goatcounter site code and API key from environment variables for authentication.
Features
- Provides tools for most Goatcounter API endpoints.
- Handles API key and site code configuration via environment variables (
GOATCOUNTER_API_KEY,GOATCOUNTER_CODE). - Lazy initialization of the API client: Tools can be listed even if API credentials are not yet configured.
- Rate Limit Handling: Implements automatic retries with backoff when encountering API rate limits (HTTP 429).
- Prioritizes the
X-Rate-Limit-Resetheader for waiting if provided by the API. - Falls back to exponential backoff (starting at 1 second) with random jitter if the header is unavailable or invalid.
- Retries up to 5 times before failing.
- Prioritizes the
- Runs directly using the
fastmcpcommand-line tool.
Installation
Option 1: Installing via Smithery (Recommended)
To install X (Twitter) MCP server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @rafaljanicki/goatcounter-mcp-server --client claude
Option 2: Install from PyPI
The easiest way to install goatcounter-mcp-server is via PyPI:
pip install goatcounter-mcp-server
Or install directly from the repository:
pip install git+https://github.com/rafaljanicki/goatcounter-mcp-server.git
Option 3: Install from Source
If you prefer to install from the source repository:
-
Clone the repository:
git clone https://github.com/rafaljanicki/goatcounter-mcp-server cd goatcounter-mcp-server -
Create a virtual environment:
python3.13 -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate` -
Install dependencies: Install FastMCP and other required packages:
pip install -r requirements.txt -
Configure environment variables: Copy the example
.env.examplefile to.env:cp .env.example .envEdit the
.envfile and add your Goatcounter details (see Environment Variables section below).
Environment Variables
The server requires the following environment variables to be set:
GOATCOUNTER_CODE: Your Goatcounter site code (the subdomain part, e.g., 'mycoolsite').GOATCOUNTER_API_KEY: Your Goatcounter API token. You can generate one in your Goatcounter site under Settings -> API tokens. Ensure it has the necessary permissions for the API actions you intend to use.
You can set these variables directly in your environment or place them in a .env file in the project root.
Running the Server
Option 1: Using the CLI Script
The project defines a CLI script goatcounter-mcp-server.
If installed from PyPI:
goatcounter-mcp-server
If installed from source with uv:
uv run goatcounter-mcp-server
Option 2: Using FastMCP Directly (Source Only)
If you installed from source and prefer to run the server using FastMCP's development mode:
fastmcp dev src/goatcounter_mcp_server/server.py
Using with Claude Desktop
To use this MCP server with Claude Desktop, you need to configure Claude to connect to the server. Follow these steps:
Step 1: Install Node.js
Claude Desktop uses Node.js to run MCP servers. If you don't have Node.js installed:
- Download and install Node.js from nodejs.org.
- Verify installation:
node --version
Step 2: Locate Claude Desktop Configuration
Claude Desktop uses a claude_desktop_config.json file to configure MCP servers.
- Windows:
%APPDATA%\Claude\claude_desktop_config.json - macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
If the file doesn't exist, create it.
Step 3: Configure the MCP Server
Edit claude_desktop_config.json to include the goatcounter-mcp-server server. Replace /path/to/goatcounter-mcp-server with the actual path to your project directory (if installed from source) or the path to your Python executable (if installed from PyPI).
If installed from PyPI:
{
"mcpServers": {
"goatcounter-mcp-server": {
"command": "goatcounter-mcp-server",
"args": [],
"env": {
"PYTHONUNBUFFERED": "1",
"GOATCOUNTER_CODE": "goatcounter_code",
"GOATCOUNTER_API_KEY": "goatcounter_api_key"
}
}
}
}
If installed from source with uv:
{
"mcpServers": {
"goatcounter-mcp-server": {
"command": "uv",
"args": [
"--directory",
"/path/to/goatcounter-mcp-server",
"run",
"goatcounter-mcp-server"
],
"env": {
"PYTHONUNBUFFERED": "1",
"GOATCOUNTER_CODE": "goatcounter_code",
"GOATCOUNTER_API_KEY": "goatcounter_api_key"
}
}
}
}
"command": "goatcounter-mcp-server": Uses the CLI script directly if installed from PyPI."env": If installed from PyPI, you may need to provide environment variables directly in the config (since there's no.envfile). If installed from source, the.envfile will be used."env": {"PYTHONUNBUFFERED": "1"}: Ensures output is unbuffered for better logging in Claude.
Step 4: Restart Claude Desktop
- Quit Claude Desktop completely.
- Reopen Claude Desktop to load the new configuration.
Step 5: Verify Connection
- Open Claude Desktop.
- Look for a hammer or connector icon in the input area (bottom right corner). This indicates MCP tools are available.
- Click the icon to see the available tools from
goatcounter-mcp-server
API Documentation: Available Tools
The following MCP tools are available:
Tool: Goatcounter_get_me
Get information about the current Goatcounter user and API key associated with the configured GOATCOUNTER_API_KEY.
- Parameters: None
- Returns:
object- Information about the user and token.
Tool: Goatcounter_list_sites
List all Goatcounter sites accessible with the current API key.
- Parameters: None
- Returns:
object- A list of accessible sites.
Tool: Goatcounter_list_paths
Get an overview of paths tracked on this site (without statistics).
- Parameters:
limit(integer, optional): Limit number of returned results (1-200, default 20).after(integer, optional): Only select paths after this path ID, for pagination.
- Returns:
object- A list of paths and pagination info.
Tool: Goatcounter_get_stats_total
Get the total number of pageviews and unique visitors for the site within a specified period.
- Parameters:
start(string, optional): Start date (YYYY-MM-DD or relative e.g., '7 days ago').end(string, optional): End date (YYYY-MM-DD or relative e.g., 'yesterday').filter(string, optional): Filter paths (e.g., '/blog*').daily(boolean, optional): Show daily statistics instead of totals (default: false).
- Returns:
object- Total statistics or daily statistics ifdailyis true.
Tool: Goatcounter_get_stats_hits
List page statistics (pageviews and visitors per path).
- Parameters:
start(string, optional): Start date (YYYY-MM-DD or relative e.g., '7 days ago').end(string, optional): End date (YYYY-MM-DD or relative e.g., 'yesterday').filter(string, optional): Filter paths (e.g., '/blog*').daily(boolean, optional): Show daily statistics instead of totals (default: false).limit(integer, optional): Limit number of returned results (1-200, default 20).after(integer, optional): Pagination cursor.
- Returns:
object- A list of path statistics and pagination info.
Tool: Goatcounter_get_stats_refs
List referrer statistics.
- Parameters:
start(string, optional): Start date (YYYY-MM-DD or relative e.g., '7 days ago').end(string, optional): End date (YYYY-MM-DD or relative e.g., 'yesterday').filter(string, optional): Filter paths (e.g., '/blog*').daily(boolean, optional): Show daily statistics instead of totals (default: false).limit(integer, optional): Limit number of returned results (1-200, default 20).after(integer, optional): Pagination cursor.
- Returns:
object- A list of referrer statistics and pagination info.
Tool: Goatcounter_get_stats_browsers
List browser statistics.
- Parameters:
start(string, optional): Start date (YYYY-MM-DD or relative e.g., '7 days ago').end(string, optional): End date (YYYY-MM-DD or relative e.g., 'yesterday').filter(string, optional): Filter paths (e.g., '/blog*').daily(boolean, optional): Show daily statistics instead of totals (default: false).limit(integer, optional): Limit number of returned results (1-200, default 20).after(integer, optional): Pagination cursor.
- Returns:
object- A list of browser statistics and pagination info.
Tool: Goatcounter_get_stats_systems
List operating system statistics.
- Parameters:
start(string, optional): Start date (YYYY-MM-DD or relative e.g., '7 days ago').end(string, optional): End date (YYYY-MM-DD or relative e.g., 'yesterday').filter(string, optional): Filter paths (e.g., '/blog*').daily(boolean, optional): Show daily statistics instead of totals (default: false).limit(integer, optional): Limit number of returned results (1-200, default 20).after(integer, optional): Pagination cursor.
- Returns:
object- A list of OS statistics and pagination info.
Tool: Goatcounter_get_stats_sizes
List screen size statistics.
- Parameters:
start(string, optional): Start date (YYYY-MM-DD or relative e.g., '7 days ago').end(string, optional): End date (YYYY-MM-DD or relative e.g., 'yesterday').filter(string, optional): Filter paths (e.g., '/blog*').daily(boolean, optional): Show daily statistics instead of totals (default: false).limit(integer, optional): Limit number of returned results (1-200, default 20).after(integer, optional): Pagination cursor.
- Returns:
object- A list of screen size statistics and pagination info.
Tool: Goatcounter_get_stats_locations
List location statistics.
- Parameters:
start(string, optional): Start date (YYYY-MM-DD or relative e.g., '7 days ago').end(string, optional): End date (YYYY-MM-DD or relative e.g., 'yesterday').filter(string, optional): Filter paths (e.g., '/blog*').daily(boolean, optional): Show daily statistics instead of totals (default: false).limit(integer, optional): Limit number of returned results (1-200, default 20).after(integer, optional): Pagination cursor.
- Returns:
object- A list of location statistics and pagination info.
Usage
-
Set Environment Variables: Create a
.envfile in your project root or set the environment variables directly:GOATCOUNTER_CODE=your_site_code GOATCOUNTER_API_KEY=your_goatcounter_api_keyYou can generate an API key in your Goatcounter account settings.
-
Run with FastMCP: Integrate this server with your FastMCP setup. Refer to the FastMCP documentation for details on connecting MCP servers.
The server registers tools with the prefix
Goatcounter(e.g.,Goatcounter.list_sites).
Development
- Install development dependencies:
pip install -e ".[dev]"(if dev dependencies are specified inpyproject.toml) - This project uses
hatchfor building.
Contributing
Contributions are welcome! Please open an issue or submit a pull request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Related Servers
TickTick
Manage tasks, projects, and habits using the TickTick API.
Home Assistant MCP Server
An MCP server for interacting with Home Assistant. Requires HA_URL and HA_TOKEN environment variables.
Ramp
Interact with Ramp's Developer API to run analysis on your spend and gain insights leveraging LLMs
Excel MCP Server
Read and write data from Microsoft Excel files. Supports text, formulas, sheet creation, and Windows-only live editing.
Dovetail
Connect AI tools to the Dovetail API for user research and customer feedback analysis.
MCP Email Verify
Validate email addresses using the AbstractAPI Email Validation API.
Google Sheets
A server that connects to the Google Sheets API, enabling AI-driven spreadsheet automation and data manipulation.
GoHighLevel MCP Server
Integrates with the GoHighLevel API, allowing interaction with its CRM, marketing automation, and business management tools.
cross-llm-mcp
A Model Context Protocol (MCP) server that provides access to multiple Large Language Model (LLM) APIs including ChatGPT, Claude, Gemini, and DeepSeek.
Jira MCP Server
An MCP server for accessing JIRA issue data stored in Snowflake.