MCP Qdrant Codebase Embeddings

Related Servers

Chroma MCP Server
An MCP server for the Chroma embedding database, providing persistent, searchable working memory for AI-assisted development with features like automated context recall and codebase indexing.
Chroma
Embeddings, vector search, document storage, and full-text search with the open-source AI application database
Qdrant
Implement semantic memory layer on top of the Qdrant vector search engine
Chroma
A vector database server powered by Chroma, enabling semantic document search, metadata filtering, and document management.
ChromaDB MCP
An MCP server for vector storage and retrieval using ChromaDB.
LanceDB
Interact with on-disk documents using agentic RAG and hybrid search via LanceDB.
Local Context Memory MCP
A production-ready persistent memory system for AI agents, offering searchable memory across sessions with semantic search and support for multiple database backends.
Local FAISS
About Local FAISS vector store as an MCP server – drop-in local RAG for Claude / Copilot / Agents.
MCP Memory Toolkit
Provides persistent memory for Claude using ChromaDB for semantic search and storage.
MCP PGVector Server
Provides semantic search capabilities for PostgreSQL databases using the pgvector extension, with support for multiple embedding providers.