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MCP server · AI

Malloy MCP Server

An MCP Server for interacting with Malloy data models through the Malloy Publisher

Unclaimed MIT last commit a year ago ai
49Fair

Scored 5 days ago · breakdown

About Malloy MCP Server

Malloy MCP Server is an MCP server published by namabile in the AI category: an MCP Server for interacting with Malloy data models through the Malloy Publisher.

The repository has 2 stars and 0 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/namabile/malloy-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 5 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.1.1v0.1.1
v0.1.0v0.1.0

README

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

  1. Clone the repository:
git clone https://github.com/namabile/malloy-mcp-server.git
cd malloy-mcp-server
  1. 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

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for new functionality
  5. Submit a pull request

License

MIT License - see LICENSE file for details

README fetched from the repository 5 days ago. The original is authoritative.

Questions

About Malloy MCP Server

How do I install Malloy MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Malloy MCP Server safe to use with an AI agent?

Its trust score is 49 out of 100 (fair). It passes 5 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Malloy MCP Server still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.