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Malloy-MCP-Server
Ein MCP -Server für die Interaktion mit Malloy -Datenmodellen über den Malloy -Verlag
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Malloy MCP Server
An MCP server implementation for executing Malloy queries and managing Malloy resources.
Features
- Execute Malloy queries via MCP
- Access Malloy project, package, and model metadata
- Robust error handling with detailed context
- Comprehensive test coverage
- Type-safe implementation
Installation
# Install using uv (recommended)
uv pip install malloy-mcp-server
# Or using pip
pip install malloy-mcp-server
Usage
Starting the Server
from malloy_mcp_server import mcp
# Run the server
if __name__ == "__main__":
mcp.serve()
Configuration
The server can be configured using environment variables:
Variable | Description | Default |
---|---|---|
MALLOY_PUBLISHER_ROOT_URL |
URL of the Malloy Publisher API | http://localhost:4000 |
Example:
# Set the publisher URL
export MALLOY_PUBLISHER_ROOT_URL="http://malloy-publisher:4000"
# Run with custom configuration
python -m malloy_mcp_server
Executing Queries
The server provides an MCP tool for executing Malloy queries:
from malloy_mcp_server import ExecuteMalloyQueryTool
# Example query execution
result = await ExecuteMalloyQueryTool(
query="select * from users",
model_path="my_package/users"
)
Accessing Resources
The server provides the following resource endpoints:
-
malloy://project/home/metadata
- Project metadata -
malloy://project/home/package/{package_name}
- Package metadata -
malloy://project/home/model/{model_path}
- Model metadata
Development
Setup
- Clone the repository:
git clone https://github.com/namabile/malloy-mcp-server.git
cd malloy-mcp-server
- Install dependencies:
uv pip install -e ".[dev]"
Running Tests
# Run all tests
pytest
# Run with coverage
pytest --cov=malloy_mcp_server
Code Quality
The project uses:
-
black
for code formatting -
mypy
for type checking -
ruff
for linting
Run quality checks:
black .
mypy .
ruff check .
Error Handling
The server provides detailed error handling with context:
from malloy_mcp_server.errors import QueryExecutionError
try:
result = await ExecuteMalloyQueryTool(...)
except QueryExecutionError as e:
print(f"Error: {e.message}")
print("Context:", e.context)
Architecture
The server is built on:
- FastMCP for the MCP server implementation
- Malloy Publisher Client for Malloy interactions
- Pydantic for data validation
Key components:
-
server.py
- Core server implementation -
tools/query_executor.py
- Query execution tool -
errors.py
- Error handling utilities
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests for new functionality
- Submit a pull request
License
MIT License - see LICENSE file for details
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Reviews

user_0tE2BBKd
As a dedicated user of malloy-mcp-server, I highly recommend this exceptional product by namabile. Its robust performance and seamless integration into my workflow have significantly improved my productivity. The clear documentation and active community support make it easy for both beginners and advanced users. Be sure to check it out on GitHub!