Related Servers

No user-submitted related servers found.

Related Servers

• Vercel MCP Memory

  evgenygurin

  A

  license

  -Not graded

  quality

  D

  maintenance

  Enables semantic memory storage and retrieval with natural language queries, deployed on Vercel with PostgreSQL pgvector and OpenAI embeddings.

  Updated 10 months ago (2025-11-07 19:10 UTC)

  MIT

• RAG-MCP Knowledge Base Server

  Luxter77

  A

  license

  -Not graded

  quality

  D

  maintenance

  Enables semantic search across text documents using vector embeddings stored in PostgreSQL. Provides multiple search modalities including semantic similarity, question/answer, and style-based search through a retrieval-augmented generation system.

  Updated a year ago (2025-08-07 06:45 UTC)

  3

  Apache 2.0

• Local Search MCP Server

  PatrickRuddiman

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables semantic search across indexed documents using vector embeddings. Index GitHub repositories and URLs to perform natural language queries with AI-enhanced contextual results.

  Updated 9 months ago (2025-12-02 17:28 UTC)

  31

  MIT

• MCP Knowledge Base Server

  maxsmosarski

  F

  license

  -Not graded

  quality

  D

  maintenance

  Enables semantic search and document management with support for text, PDF, and image uploads using your own Supabase database and OpenAI API keys. Supports multi-tenant deployment on Cloudflare Workers or local hosting.

  Updated a year ago (2025-08-20 17:46 UTC)

• Context MCP

  Raunak-dev-18

  A

  license

  A

  quality

  D

  maintenance

  Provides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.

  Updated 7 months ago (2026-02-05 09:52 UTC)

  6

  3

  MIT

• rag-mcp

  NextLevelManagementAdvisors

  A

  license

  A

  quality

  B

  maintenance

  Enables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.

  Updated 20 days ago (2026-08-04 19:53 UTC)

  4

  AGPL 3.0