Related Servers

No user-submitted related servers found.

Related Servers

• Qdrant RAG Build

  avaazquezz

  A

  license

  A

  quality

  B

  maintenance

  Enables users to build and manage a complete retrieval-augmented generation pipeline through conversation, including file ingestion, collection management, hybrid search, reranking, citations, and a guided setup wizard.

  Updated 2 months ago (2026-08-25 22:39 UTC)

  33

  Apache 2.0

• Modular RAG System

  naffss-eng

  F

  license

  -Not graded

  quality

  C

  maintenance

  MCP server for a modular RAG system that enables natural language question answering over enterprise documents with intent-aware routing, adaptive retrieval, and citation-backed responses.

  Updated 3 months ago (2026-07-06 08:29 UTC)

  -

• mcp-rag-assistant

  EdwinIN01

  F

  license

  -Not graded

  quality

  C

  maintenance

  Provides RAG-based knowledge retrieval and document management as MCP tools, supporting hybrid search, reranking, and retrieval process visualization.

  Updated a month ago (2026-09-14 06:12 UTC)

  -

• cortex

  mrinmoyece

  A

  license

  -Not graded

  quality

  B

  maintenance

  An MCP-native agentic platform orchestrating planner/executor/critic agents over hybrid RAG with three-tier memory, budget enforcement, safety guardrails, and full observability. It exposes all capabilities as MCP tools, enabling natural-language control of document ingestion, retrieval-augmented generation, and multi-step AI workflows.

  Updated 2 months ago (2026-08-16 00:05 UTC)

  MIT

• mcp-rag-service

  Gurmeher23

  F

  license

  -Not graded

  quality

  C

  maintenance

  A production-minded RAG service for MCP that answers questions over your documents with hybrid retrieval, PII redaction, and source citations, packaged for Docker/Kubernetes.

  Updated 2 months ago (2026-08-03 11:18 UTC)

  -

• MCP-RAG-Assistant

  mohankumar-dxplr

  A

  license

  -Not graded

  quality

  C

  maintenance

  Hybrid RAG pipeline that indexes documents and exposes them via an MCP server, enabling natural language queries to retrieve relevant context chunks for LLMs.

  Updated 2 months ago (2026-07-28 16:46 UTC)

  MIT