Rag Based Mcp
What is Rag Based Mcp
Rag_Based_MCP is a Modular Command Platform (MCP) server designed to ingest documents and answer questions based on their content, utilizing the GroundX API for document parsing and intelligence.
Use cases
Use cases include academic research where users can upload research papers and ask questions about their content, legal professionals analyzing case documents, and businesses extracting information from reports.
How to use
To use Rag_Based_MCP, fork the repository to your GitHub account, open it in Cursor, add MCP integration, and configure your GroundX API key in the server.py file. You can then use the ingest_documents tool to upload documents and the answer_query tool to ask questions.
Key features
Key features include an ingest tool for uploading documents and an answer tool that provides context-aware responses based on the ingested documents, all powered by the FastMCP framework and GroundX API.
Where to use
Rag_Based_MCP can be used in various fields such as education, legal, research, and any domain where document analysis and question answering are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Rag Based Mcp
Rag_Based_MCP is a Modular Command Platform (MCP) server designed to ingest documents and answer questions based on their content, utilizing the GroundX API for document parsing and intelligence.
Use cases
Use cases include academic research where users can upload research papers and ask questions about their content, legal professionals analyzing case documents, and businesses extracting information from reports.
How to use
To use Rag_Based_MCP, fork the repository to your GitHub account, open it in Cursor, add MCP integration, and configure your GroundX API key in the server.py file. You can then use the ingest_documents tool to upload documents and the answer_query tool to ask questions.
Key features
Key features include an ingest tool for uploading documents and an answer tool that provides context-aware responses based on the ingested documents, all powered by the FastMCP framework and GroundX API.
Where to use
Rag_Based_MCP can be used in various fields such as education, legal, research, and any domain where document analysis and question answering are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Document QA Server
This is an MCP (Modular Command Platform) server built to help you ingest documents and ask questions about them. Powered by the GroundX API, the server enables seamless document parsing and querying.
🧠 Features
- Ingest Tool: Upload new documents to the server.
- Answer Tool: Ask questions and receive context-aware answers based on the ingested documents.
- Built with FastMCP, uses the GroundX API for document parsing and intelligence.
🚀 Getting Started
1. Fork the Repository
Start by forking this repository to your own GitHub account.
2. Open in Cursor
Open the forked repository in Cursor.
3. Add MCP Integration
- Use the “Add MCP” option in Cursor.
- The platform will automatically detect the included
mcp.jsonfile.
4. Tools Available
Once the MCP server is loaded, you will have access to two tools:
ingest_documents: Ingest new documents to the system.answer_query: Ask questions and get answers based on the ingested documents.
🔧 Configuration
GroundX API Key
Make sure to add your GroundX API key in the server.py file:
# server.py
GROUNDX_API_KEY = "your_api_key_here"
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
