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  genpark-hybrid-rerank-fusionofficial

  alphaparkinc

  F

  license

  -Not graded

  quality

  B

  maintenance

  Enables fusing and reranking results from multiple search or retrieval sources using Reciprocal Rank Fusion and hybrid rank fusion. It provides deterministic scoring, robust parsing, and structured JSON output for autonomous agent workflows.

  Updated 15 days ago (2026-09-14 04:30 UTC)

  8

  -

• genpark-hybrid-rerank-fusion

  Alpha-Park

  F

  license

  -Not graded

  quality

  B

  maintenance

  Enables AI agents and MCP clients to combine and rerank results from multiple search or retrieval sources using Reciprocal Rank Fusion and hybrid rank fusion scoring. It exposes deterministic fusion and reranking execution over MCP with structured JSON output.

  Updated 15 days ago (2026-09-14 04:31 UTC)

  7

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• mcp-rag-search

  guo-yb-123

  F

  license

  -Not graded

  quality

  C

  maintenance

  Enables agent tools like Claude Code and GitHub Copilot to perform knowledge retrieval using hybrid search (BM25 + dense) with reranking, via MCP protocol.

  Updated a month ago (2026-09-02 03:00 UTC)

  -

• Modular RAG MCP Server

  MiemieYang-yang

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables AI assistants to perform retrieval-augmented generation with hybrid search, reranking, multi-modal image processing, and RAG evaluation through standardized MCP tools.

  Updated a month ago (2026-08-21 09:55 UTC)

  MIT

• hybrid-rag-memory

  masaki-kato-119

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables AI agents to use a hybrid dense+sparse RAG system with tag-based long-term memory (importance, knowledge-type decay, access-frequency boost) via MCP tools for document ingestion, hybrid search, staged reranking, forgetting, and index management.

  Updated a month ago (2026-08-24 06:57 UTC)

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• rag-mcp-server

  q6066697

  A

  license

  A

  quality

  C

  maintenance

  Exposes hybrid retrieval (dense embeddings + BM25 + RRF) and document operations (search, fetch, rerank) as MCP tools, using Qdrant and OpenAI embeddings for local or server mode.

  Updated a month ago (2026-08-19 21:59 UTC)

  3

  MIT