Goatcounter MCP Server
Description
# Goatcounter MCP Server [](https://smithery.ai/server/@rafaljanicki/goatcounter-mcp-server) ## Overview This project provides a Model Context Protocol (MCP) server for interacting with the…
About
# Goatcounter MCP Server [](https://smithery.ai/server/@rafaljanicki/goatcounter-mcp-server) ## Overview This project provides a Model Context Protocol (MCP) server for interacting with the [Goatcounter](https://www.goatcounter.com/) web…
Details
- Author
- rafaljanicki
- Downloads
- 171
- Categories
- Productivity, Other, API
Jump to
- Provides tools for most Goatcounter API endpoints.
- Handles API key and site code configuration via environment variables.
- Lazy initialization: tools can be listed before credentials are set.
- Automatic retries with backoff on HTTP 429 rate limits (up to 5 retries).
- Runs directly using the fastmcp command-line tool.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Goatcounter MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via PyPI (pip install goatcounter-mcp-server) or from source. Set the GOATCOUNTER_CODE and GOATCOUNTER_API_KEY environment variables (in a .env file or directly). Run the server with the goatcounter-mcp-server command. For Claude Desktop, add a corresponding entry to claude_desktop_config.json.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"goatcounter mcp server": {
"goatcounter-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@rafaljanicki/goatcounter-mcp-server",
"--client",
"claude"
]
}
}
}
}
McpServers
{
"goatcounter-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@rafaljanicki/goatcounter-mcp-server",
"--client",
"claude"
]
}
}
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-Reset header 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.
Runs directly using the fastmcp command-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 installgoatcounter-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:1. Clone the repository:
git clone https://github.com/rafaljanicki/goatcounter-mcp-server
cd goatcounter-mcp-server
2. Create a virtual environment:
python3.13 -m venv venv
source venv/bin/activate # On Windows use venv\Scripts\activate
3. Install dependencies:
Install FastMCP and other required packages:
pip install -r requirements.txt
4. Configure environment variables:
Copy the example .env.example file to .env:
cp .env.example .env
Edit the
.env file 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 scriptgoatcounter-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 aclaude_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
Editclaude_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 .env file). If installed from source, the .env file 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 fromgoatcounter-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 if daily is 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
1. Set Environment Variables:
Create a .env file in your project root or set the environment variables directly:
GOATCOUNTER_CODE=your_site_code
GOATCOUNTER_API_KEY=your_goatcounter_api_key
You can generate an API key in your Goatcounter account settings.
2. 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 in pyproject.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.
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