Understanding Document Embeddings, Knowledge Graphs, and Vector Representations MCP servers

"Understanding Document Embeddings, Knowledge Graphs, and Vector Representations" matching MCP servers:

• MCP Qdrant Codebase Embeddings

  steiner385

  -

  security

  -

  license

  -

  quality

  A Model Context Protocol server that provides semantic understanding of codebases using Qdrant vector database, enabling AI assistants to search files by purpose, discover relationships between files, analyze architecture, and identify refactoring opportunities.

  Last updated 6 months ago

• MCP Vector Sync

  -

  security

  -

  license

  -

  quality

  A multi-tenant service that automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects.

• MCP Document Indexer

  yairwein

  -

  security

  A

  license

  -

  quality

  Enables real-time indexing and semantic search of local documents (PDF, Word, text, Markdown, RTF) using vector embeddings and local LLMs. Monitors folders for changes and provides natural language search capabilities through Claude Desktop integration.

  Last updated 5 months ago

  8

  MIT License

• Knowledge MCP Service

  vietnama10

  -

  security

  F

  license

  -

  quality

  Enables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.

  Last updated 4 months ago

  236

• Code Knowledge MCP Server

  davidvc

  -

  security

  F

  license

  -

  quality

  Provides a project memory bank and RAG context provider for enhanced code understanding and management through vector embeddings, integrated with RooCode and Cline.

  Last updated 10 months ago

  19

• FastMCP Document Analyzer

  Tathagat017

  -

  security

  F

  license

  -

  quality

  A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.

  Last updated 6 months ago