Ad Veritas MCP Server Truerag
A

Ad Veritas MCP Server Truerag

This project is a server 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 the GQL library and supports policy queries in the TrueRAG system.
2 points
6.7K

What is the TrueRAG MCP Server?

The TrueRAG MCP Server is a server based on the Model Context Protocol (MCP). It connects to the TrueRAG system through a GraphQL API, allowing users to manage and query policies. It is particularly suitable for application scenarios that require efficient policy management.

How to use the TrueRAG MCP Server?

You can set up and run the server in just a few steps. First, configure the environment variables. Then, start the server. Finally, add the corresponding configuration in the TrueRAG client.

Applicable Scenarios

The TrueRAG MCP Server is very suitable for teams that need to centrally manage and query policies, such as enterprise knowledge management systems and customer service systems.

Main Features

GraphQL Policy Query
Access and query policies in the TrueRAG system through the GraphQL API.
Model Context Protocol Support
Supports the MCP standard to ensure seamless integration with multiple clients.
Rapid Deployment
Lightweight design for quick installation and configuration.
Advantages
Efficient policy management
Powerful GraphQL query capabilities
Cross - platform compatibility
Limitations
Requires configuration of GraphQL API keys and endpoints
Depends on the TrueRAG system

How to Use

Clone the Repository
Clone the TrueRAG MCP Server repository to your local machine via Git.
Install the uv Tool
Ensure that the uv tool is installed for quickly starting the server.
Configure Environment Variables
Create a.env file and fill in the API key and GraphQL endpoint.
Start the Server
Use the uv tool to start the MCP Server.

Usage Examples

Query a Policy
Query a specific policy through the GraphQL API.
Update a Policy
Update the policy content through the GraphQL API.

Frequently Asked Questions

How to install the uv tool?
How to configure environment variables?
How to add the server in the TrueRAG client?

Related Resources

TrueRAG Official Documentation
Complete documentation for the TrueRAG system.
MCP GitHub Repository
Python implementation of the MCP protocol.
uv Tool Installation Guide
Guide on how to install and use the uv tool.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
4.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
5.2K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
5.2K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.7K
4.5 points
G
Gk Cli
GitKraken CLI is a command - line tool that provides multi - repository workflow management, AI - generated commit messages and pull requests, and includes a local MCP server for integrating tools such as Git, GitHub, and Jira.
5.6K
4.5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
4.8K
5 points
M
MCP
A collection of official Microsoft MCP servers, providing AI assistant integration tools for various services such as Azure, GitHub, Microsoft 365, and Fabric. It supports local and remote deployment, helping developers connect AI models with various data sources and tools through a standardized protocol.
C#
6.3K
5 points
C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
10.4K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.4K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
19.9K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
28.2K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
57.2K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
53.3K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
25.7K
5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
80.5K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
39.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase