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2025-03-19

Modellkontext -Protokollserver (MCP), um auf eine Instanz von Truerag zuzugreifen

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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

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    Avatar
    user_A06VnBBV
    2025-04-16

    Food Data Central MCP Server by jlfwong is a fantastic tool for anyone needing accurate and comprehensive food data. It’s reliable, fast, and integrates seamlessly into our existing systems. Whether you’re building a nutrition app or simply need extensive food datasets, this server has you covered. Highly recommend! Check it out: https://mcp.so/server/food-data-central-mcp-server/jlfwong