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MCP Integration

Model Context Protocol for AI assistants and custom GPT connections

MCP Server

Model Context Protocol server implementation for connecting AI assistants to your RAG API and other services.

Development

Setup Guide Documentation

Custom GPT

Integration with OpenAI's Custom GPT platform for enhanced AI assistant capabilities.

Development

GPT Setup Instructions

Tools & Functions

MCP tools and functions for document storage, retrieval, and management through AI assistants.

Development

Tools List API Reference

MCP Features

Document Storage

Store documents through AI assistant commands

Semantic Search

Search documents using natural language queries

Tag Management

Manage document tags and categories

Vector Operations

Advanced vector search and embeddings

Custom GPT Integration

Seamless integration with OpenAI Custom GPT

Real-time Updates

Live document updates and notifications

Setup Instructions

1. Install MCP Server

Download and configure the MCP server

2. Configure Tools

Set up document storage and search tools

3. Connect AI Assistant

Link your AI assistant to the MCP server

4. Test Integration

Verify all tools and functions work correctly

Example Commands

# Store a document store_document( title="API Documentation", content="Your document content here...", tags=["api", "docs"] ) # Search documents search_documents( query="authentication methods", top_k=5, tags=["security"] ) # List all tags get_all_tags() # Get document by ID get_document(doc_id="your-document-id")