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2024-12-27

镜像://github.com/ad-veritas/mcp-server-truerag

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Model Context Protocol (MCP) Server for GraphQL Policies API

This repository contains a Model Context Protocol (MCP) server implementation for a GraphQL API that provides access to policies.

The server is built using the python SDK for MCP and uses the GQL library to interact with the GraphQL API.

Getting Started

Clone the repository

git clone https://github.com/Ad-Veritas/mcp-server-trueRAG.git
cd mcp-server-trueRAG

Make sure you have uv installed

uv --version

If not, you can install it using:

# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Define the environment variables

The server is configured to work against a GraphQL API for one of the TrueRag systems. Once you created the TrueRAG environment, copy the API key and endpoint from the environment variables.

Create a .env file in the root directory of the repository and add the following lines:

GRAPHQL_API_KEY = "{your_api_key}"
GRAPHQL_ENDPOINT = "{your_graphql_endpoint}"

Add to the MCP Client, such as Claude Desktop

Add the following lines to the Claude configuration file (~/Library/Application Support/Claude/claude_desktop_config.json):

    "shipping-policies": {
      "command": "uv",
      "args": [
        "--directory",
        "{path_to_mcp_server}/mcp-server-trueRAG",
        "run",
        "fastmcp",
        "run",
        "server.py"
      ]
    }

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    Reviews

    3 (1)
    Avatar
    user_fJYk6D04
    2025-04-15

    I've been using the Weather MCP Server by jtwirly and I'm thoroughly impressed. The server delivers precise weather updates, enhancing my projects significantly. Integration was seamless, and it runs smoothly without any hiccups. The support and documentation provided by jtwirly are top-notch. Highly recommend it to anyone needing reliable weather information for their applications.