MCP Server Truerag
This project is a server - side implementation based on the Model Context Protocol (MCP) for connecting to the GraphQL API to access policy data. It is built using the Python SDK and GQL library and supports rapid deployment through the uv tool.
rating : 2.5 points
downloads : 17
What is the TrueRAG Policy MCP Server?
This is a bridge server that connects to the policy data of the TrueRAG system and is implemented using the Model Context Protocol standard. It allows you to query and manage various policy rules and configurations in the TrueRAG system through a simple interface.How to use the TrueRAG Policy MCP Server?
You only need to configure the API key and endpoint, and then you can directly query the policy data through an MCP-compatible client (such as Claude). The server will automatically handle all complex GraphQL requests and response conversions.Use cases
When you need to access TrueRAG policy data without understanding the technical details of GraphQL, or you want to integrate policy queries into your existing AI conversation process, this server is the best choice.Main features
Seamless GraphQL integrationAutomatically convert MCP requests into GraphQL queries without manually writing complex query statements
Multi-client supportCompatible with various client applications that support the MCP protocol, such as AI assistants like Claude
Simple environment configurationConnect to the TrueRAG system in different environments through simple configuration in the.env file
Advantages and limitations
Advantages
Access policy data without GraphQL expertise
Seamlessly integrate with AI assistants for natural language queries
Simple configuration and rapid deployment
Limitations
Currently only supports the policy API of the TrueRAG system
Requires pre - obtaining the API key and endpoint URL
Performance is limited by the underlying GraphQL API
How to use
Clone the code repository
Clone the server code to your local development environment
Install the uv tool
Ensure that the uv tool is installed to run Python applications
Configure environment variables
Create a.env file and add your GraphQL API key and endpoint
Configure the MCP client
Add server configuration to MCP clients such as Claude
Usage examples
Query the product shipping policyQuery the shipping rules and restrictions for a specific product through natural language
Check user permissionsVerify whether a user has the right to perform a specific operation
Frequently Asked Questions
How to obtain the GraphQL API key?
Which MCP clients does the server support?
Can I connect to multiple TrueRAG environments simultaneously?
Related resources
Model Context Protocol official website
Understand the official documentation and specifications of the MCP protocol
Python MCP SDK
Python SDK code repository for building MCP servers
GQL library documentation
Documentation for the Python GraphQL client library
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