Malloy MCP Server
by namabile
An MCP server implementation for executing Malloy queries and managing Malloy resources. It provides a way to interact with Malloy projects and execute queries through the MCP protocol.
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What is Malloy MCP Server?
The Malloy MCP Server is an implementation of an MCP (Managed Component Protocol) server designed specifically for executing Malloy queries and managing Malloy resources. It acts as a bridge between clients and Malloy data, allowing for query execution and metadata access.
How to use Malloy MCP Server?
To use the server, first install it using uv pip install malloy-mcp-server or pip install malloy-mcp-server. Then, start the server using the provided Python code snippet. Configure the server using environment variables like MALLOY_PUBLISHER_ROOT_URL. Execute queries using the ExecuteMalloyQueryTool and access resources via the provided endpoints.
Key features of Malloy MCP Server
Execute Malloy queries via MCP
Access Malloy project, package, and model metadata
Robust error handling with detailed context
Comprehensive test coverage
Type-safe implementation
Use cases of Malloy MCP Server
Executing Malloy queries remotely
Managing Malloy projects and resources
Integrating Malloy with other systems via MCP
Building data applications with Malloy
Providing a centralized Malloy query service
FAQ from Malloy MCP Server
What is MCP?
What is MCP?
MCP stands for Managed Component Protocol. It's a protocol for managing and interacting with components in a distributed system.
What is Malloy?
What is Malloy?
Malloy is an experimental language for describing data relationships and transformations.
How do I configure the server?
How do I configure the server?
The server is configured using environment variables. See the documentation for available variables.
How do I execute a Malloy query?
How do I execute a Malloy query?
Use the ExecuteMalloyQueryTool provided by the server.
What resources are available?
What resources are available?
The server provides endpoints for accessing project, package, and model metadata.