A Model Context Protocol (MCP) server that provides MetricFlow CLI tools
Project description
mcp-metricflow
A Model Context Protocol (MCP) server that provides MetricFlow CLI tools through both SSE (with optional API key authentication) and STDIO interfaces.
[!WARNING] This repository is a learning project focused on MetricFlow integration with MCP. For production use cases, please refer to the official dbt-mcp implementation by dbt Labs.
Table of Contents
Overview
This project provides a Model Context Protocol (MCP) server that wraps MetricFlow CLI commands, making them accessible through both Server-Sent Events (SSE) and Standard Input/Output (STDIO) interfaces. It enables seamless integration with Claude Desktop and other MCP-compatible clients.
Setup
# Install uv at https://docs.astral.sh/uv/getting-started/installation/
# Copy environment template
cp .env.template .env
# ...and then jump to # Configuration section to fulfill it
Configuration
Edit the .env file with your specific configuration:
# Required: Path to your dbt project
DBT_PROJECT_DIR=/path/to/your/dbt/project e.g. /Users/dat/repos/il/jaffle-shop
# Optional: Other configurations
DBT_PROFILES_DIR=~/.dbt
MF_PATH=mf
MF_TMP_DIR=/tmp
# SSE server configuration (optional)
MCP_HOST=localhost
MCP_PORT=8000
# API key authentication for SSE mode (optional)
MCP_API_KEY=your-secret-api-key
MCP_REQUIRE_AUTH=false
Running the MCP Server
STDIO Mode
For integration with Claude Desktop (or any other MCP Client tool), use STDIO mode with the following uvx command:
uvx --env-file /path/to/.env mcp-metricflow
Add this configuration to the respective client's config file:
{
"mcpServers": {
"mcp-metricflow": {
"command": "uvx",
"args": [
"--env-file",
"<path-to-.env-file>",
"mcp-metricflow"
]
},
}
}
SSE Mode
For web-based integration or direct HTTP access:
# export DBT_PROFILES_DIR=~/.dbt
uv run python src/main_sse.py
The server will start on http://localhost:8000 (or the host/port specified in your environment variables).
API Key Authentication
The SSE server supports optional API key authentication. To enable authentication:
-
Set the required environment variables:
export MCP_API_KEY="your-secret-api-key" export MCP_REQUIRE_AUTH="true"
-
Access authenticated endpoints by including the API key in the Authorization header:
# Health check (no authentication required) curl http://localhost:8000/health # SSE endpoint (requires authentication when enabled) curl -H "Authorization: Bearer your-secret-api-key" http://localhost:8000/sse
Authentication Configuration:
MCP_API_KEY: The secret API key for authentication (required whenMCP_REQUIRE_AUTH=true)MCP_REQUIRE_AUTH: Enable/disable authentication (true,1,yes,onto enable; default:false)
Security Notes:
- The
/healthendpoint is always accessible without authentication for monitoring purposes - The
/sseendpoint requires authentication whenMCP_REQUIRE_AUTH=true - API keys are case-sensitive and support special characters
- Store API keys securely and avoid committing them to version control
Available Tools
The MCP server exposes the following MetricFlow CLI tools:
| Tool | Description | Required Parameters | Optional Parameters |
|---|---|---|---|
query |
Execute MetricFlow queries | session_id, metrics |
group_by, start_time, end_time, where, order, limit, saved_query, explain, show_dataflow_plan, show_sql_descriptions |
list_metrics |
List available metrics | None | search, show_all_dimensions |
list_dimensions |
List available dimensions | None | metrics |
list_entities |
List available entities | None | metrics |
list_dimension_values |
List values for a dimension | dimension, metrics |
start_time, end_time |
validate_configs |
Validate model configurations | None | dw_timeout, skip_dw, show_all, verbose_issues, semantic_validation_workers |
health_checks |
Perform system health checks | None | None |
Each tool includes comprehensive documentation accessible through the MCP interface.
Project Structure
src/
├── config/
│ └── config.py # Configuration management
├── server/
│ ├── auth.py # API key authentication
│ ├── sse_server.py # SSE server implementation
│ └── stdio_server.py # STDIO server implementation
├── tools/
│ ├── prompts/mf_cli/ # Tool documentation (*.md files)
│ ├── metricflow/ # MetricFlow CLI wrappers
│ │ ├── base.py # Shared command execution
│ │ ├── query.py # Query functionality
│ │ ├── list_metrics.py # List metrics
│ │ ├── list_dimensions.py # List dimensions
│ │ ├── list_entities.py # List entities
│ │ ├── list_dimension_values.py # List dimension values
│ │ ├── validate_configs.py # Configuration validation
│ │ └── health_checks.py # Health checks
│ └── cli_tools.py # MCP tool registration
├── utils/
│ ├── logger.py # Logging configuration
│ └── prompts.py # Prompt loading utilities
├── main_sse.py # SSE server entry point
└── main_stdio.py # STDIO server entry point
Contributing ✨
If you've ever wanted to contribute to this tool, and a great cause, now is your chance!
See the contributing docs CONTRIBUTING for more information.
If you've found this tool to be very helpful, please consider giving the repository a star, sharing it on social media, or even writing a blog post about it 💌
Finally, super thanks to our Contributors:
TODO
- Test STDIO mode
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