How do I connect a end to end RAG platforms MCP server to Claude Desktop or Cursor?

To install a end to end RAG platforms MCP server, select your desired server from the directory, copy the JSON configuration snippet, and add it to your client config file (such as claude_desktop_config.json or .cursor/mcp.json).

Are end to end RAG platforms MCP servers free to use?

Yes, all end to end RAG platforms MCP servers listed in this directory are open-source and free to integrate into compatible Model Context Protocol clients.

13 end to end RAG platforms MCP Servers

Q: What are end to end RAG platforms Model Context Protocol (MCP) servers?

Model Context Protocol (MCP) servers in the end to end RAG platforms category allow AI assistants (such as Claude Desktop, Cursor, Windsurf, and Cline) to connect directly to end to end rag platforms tools, APIs, and databases without manual copy-pasting.

Discover 13 end to end RAG platforms MCP servers for AI agents. Browse, compare, and install Model Context Protocol tools that connect Claude, Cursor, and other clients to end to end rag platforms capabilities. Popular picks include ApeRAG, Veritasgraph, Vectara MCP.

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ApeRAG

apecloud

Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering

2 0 0

Veritasgraph

Zero-trust, air-gapped Enterprise GraphRAG MCP server with offline, citation-grounded answers.

0 0 0

Vectara MCP

vectara

An MCP server for accessing Vectara's trusted RAG-as-a-service platform.

1 0 0

Ragstack MCP

HatmanStack

MCP server for RAGStack serverless knowledge bases. Search, chat with AI-generated answers, upload documents/media, scrape websites, and analyze metadata through an AWS-powered RAG pipeline (Lambda, Bedrock, S3, DynamoDB).

4 0 0

Ragstack

Search, chat, upload, and scrape a serverless RAGStack knowledge base on AWS.

0 0 0

Velocirag

Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.

0 0 0

Grounding AI

andyliszewski

Build a searchable index from PDFs, EPUBs, and Word docs. Claude queries it via MCP and pulls grounded answers with exact page-and-section citations. Local-first, no cloud dependency.

1 0 0

Darwin RAG

Local-first RAG engine with MCP server for AI agent integration.

1 0 0

Cortex

Local multi-client RAG server over the Model Context Protocol.

0 0 0

Rag

MCP RAG server with hybrid search, multi-KB support, and AI-powered chunk contextualization.

0 0 0

Customgpt MCP

poll-the-people

An MCP server for accessing all of CustomGPT.ai's anti-hallucination RAG-as-a-service API endpoints.

2 0 0

MCP Ragchat

gogabrielordonez

Add RAG-powered AI chat to any website with one command. Local vector store, multi-provider LLM (OpenAI/Anthropic/Gemini), self-contained chat server and embeddable widget.

2 0 0

Enterprise Internal Knowledge Base: Production Ready RAG + MCP

Production-ready RAG + MCP demo: eval-in-CI merge gate, Langfuse traces, structure-aware chunking.

0 0 0

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Frequently Asked Questions about end to end RAG platforms MCP Servers

Model Context Protocol (MCP) servers in the end to end RAG platforms category allow AI assistants (such as Claude Desktop, Cursor, Windsurf, and Cline) to connect directly to end to end rag platforms tools, APIs, and databases without manual copy-pasting.