How do I install Malloy MCP Server?
Install with `uv pip install malloy-mcp-server` or `pip install malloy-mcp-server`. For development, use `uv pip install -e ".[dev]"`.
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Basic information
An MCP Server for interacting with Malloy data models through the Malloy Publisher
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"malloy-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"malloy-mcp-server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server implementation for executing Malloy queries and managing Malloy resources. It integrates with the Malloy Publisher API and is intended for developers who need to run Malloy queries via the Model Context Protocol.
Install using uv pip install malloy-mcp-server or pip install malloy-mcp-server. Configure the MALLOY_PUBLISHER_ROOT_URL environment variable (default http://localhost:4000). Start the server with mcp.serve() or by running python -m malloy_mcp_server. Use the ExecuteMalloyQueryTool to run queries and access resource endpoints such as malloy://project/home/metadata.
Install with `uv pip install malloy-mcp-server` or `pip install malloy-mcp-server`. For development, use `uv pip install -e ".[dev]"`.
Set the `MALLOY_PUBLISHER_ROOT_URL` environment variable; it defaults to `http://localhost:4000`.
The server is built on FastMCP, the Malloy Publisher Client, and Pydantic for data validation.
The server raises a `QueryExecutionError` with `message` and `context` attributes for detailed error context.
Yes, run `pytest` or `pytest --cov=malloy_mcp_server` for test coverage.
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