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Malloy MCP Server

@namabile

代码仓库

关于 Malloy MCP Server

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

#malloy#mcp#server

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

namabile

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "malloy-mcp-server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "malloy-mcp-server"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Malloy MCP Server?

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.

How to use Malloy MCP Server?

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.

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

  • Execute ad‑hoc Malloy queries through MCP tools
  • Programmatically inspect project, package, or model metadata
  • Integrate Malloy querying into AI‑powered workflows
  • Debug queries with detailed error context

FAQ from Malloy MCP Server

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]".

How do I configure the Malloy Publisher URL?

Set the MALLOY_PUBLISHER_ROOT_URL environment variable; it defaults to http://localhost:4000.

What dependencies does the server use?

The server is built on FastMCP, the Malloy Publisher Client, and Pydantic for data validation.

How does error handling work?

The server raises a QueryExecutionError with message and context attributes for detailed error context.

Can I run tests?

Yes, run pytest or pytest --cov=malloy_mcp_server for test coverage.

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