Skip to main content
Glama
72,925 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Integrating Obsidian with ChromaDB for Memory Management" matching MCP servers:

  • MCP RAG with ChromaDB

    CyprianFusi
    A
    license
    -
    quality
    D
    maintenance
    Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.
    1
    MIT

  • ChromaDB Remote MCP Server

    meloncafe
    A
    license
    -
    quality
    A
    maintenance
    A Streamable HTTP MCP server that provides remote access to ChromaDB for AI assistants like Claude. Enables semantic search and vector database operations from mobile devices and remote locations.
    12
    MIT

  • MCP Obsidian

    alexhholmes
    F
    license
    -
    quality
    F
    maintenance
    Enables semantic search across Obsidian vaults using vector embeddings and ChromaDB. Supports multiple vaults with real-time indexing and provides both MCP server and CLI interfaces for natural language querying of notes.
    4

  • ChromaDB MCP Server

    scooby359
    F
    license
    B
    quality
    D
    maintenance
    Enables GitHub Copilot to query local ChromaDB instances to retrieve relevant documents and context for AI conversations. It allows users to search vector collections using natural language tools directly within VS Code.
    1

  • ChromaDB MCP Server

    rkilchmn
    A
    license
    -
    quality
    D
    maintenance
    An MCP server that exposes ChromaDB vector database operations, enabling AI assistants to perform collection management and semantic document searches. It supports HTTP, persistent, and in-memory connection modes along with various embedding providers including OpenAI and HuggingFace.
    MIT

  • lean-memory

    Wuesteon
    A
    license
    A
    quality
    A
    maintenance
    Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.
    16
    7
    47
    Apache 2.0

  • Memory-MCP

    wb200
    A
    license
    A
    quality
    D
    maintenance
    Provides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.
    8
    MIT

  • Memory MCP

    gregpriday
    A
    license
    B
    quality
    D
    maintenance
    An MCP server that provides AI assistants with persistent, semantic memory using Turso for storage and OpenAI for vector search. It enables natural language operations to store, retrieve, and refine information with automatic duplicate detection and quality validation.
    5
    12
    MIT

  • mcp-memory-libsql

    spences10
    A
    license
    B
    quality
    B
    maintenance
    A high-performance MCP server utilizing libSQL for persistent memory and vector search capabilities, enabling efficient entity management and semantic knowledge storage.
    6
    158
    87
    MIT

  • MCP Memory SQLite

    spences10
    A
    license
    C
    quality
    D
    maintenance
    Provides persistent memory and knowledge graph capabilities for AI assistants using local SQLite storage. Enables creating, searching, and managing entities, relationships, and observations with vector search support across conversations.
    7
    14
    14
    MIT

  • MCP Memory Service

    alphaplapplap
    A
    license
    -
    quality
    D
    maintenance
    Provides intelligent, persistent memory for AI assistants with semantic search, natural language queries, and OAuth-based team collaboration, enabling context-aware conversations across multiple clients.
    7
    Apache 2.0

  • MCP Memory

    jonaheaton
    A
    license
    -
    quality
    C
    maintenance
    Enables MCP clients to remember user information, preferences, and behaviors across conversations using vector search technology. Built on Cloudflare infrastructure with persistent storage and semantic similarity matching.
    16
    MIT