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"Understanding Vite running status in terminal commands" matching MCP servers:

  • Tribal by tribal-memory

    Tribalofficial

    tribal-memory
    F
    license
    A
    quality
    A
    maintenance
    Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.
    10
    9

  • quarry

    punt-labs
    A
    license
    A
    quality
    A
    maintenance
    Enables local semantic search over documents and code for Claude Code and Claude Desktop, running entirely offline with local embeddings and vector storage.
    11
    3
    MIT

  • MCP RAG

    kalicyh
    F
    license
    A
    quality
    C
    maintenance
    Intelligent knowledge base system that enables users to process documents in 25+ formats, perform semantic search and Q\&A through vector retrieval. Supports multiple AI models including OpenAI and DouBao with local processing capabilities.
    10
    6

  • MemAI

    Filipe-Soares-de-Almeida
    A
    license
    A
    quality
    B
    maintenance
    A long-term memory MCP server for AI agents that stores memories (facts, decisions, etc.) in a single SQLite database with hybrid search and full edit history, ensuring consistency across sessions.
    24
    MIT

  • Typesense MCP Server

    avarant
    A
    license
    A
    quality
    C
    maintenance
    A server that enables vector and keyword search capabilities in Typesense databases through the Model Context Protocol, providing tools for collection management, document operations, and search functionality.
    14
    10
    MIT
  • Astra DB MCP Server by datastax

    Astra DB MCP Serverofficial

    datastax
    A
    license
    A
    quality
    D
    maintenance
    A Model Context Protocol server that allows Large Language Models to interact with Astra DB databases, providing tools for managing collections and records through natural language commands.
    16
    72
    41
    Apache 2.0

  • Redis MCP Server

    Yuchenhui
    A
    license
    A
    quality
    D
    maintenance
    Enables AI agents to manage and search data in Redis using natural language. Supports hashes, lists, sets, sorted sets, streams, JSON, and vector search.
    44
    MIT
  • Redis MCP Server by redis

    Redis MCP Serverofficial

    redis
    A
    license
    B
    quality
    B
    maintenance
    The official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.
    53
    563
    MIT

  • My Finance MCP Server

    xinrong-meng
    A
    license
    B
    quality
    D
    maintenance
    Enables Claude to store and query personal finance transactions using semantic search. Transactions are persisted in ChromaDB and JSON, allowing natural language questions about spending trends and portfolio allocations.
    4
    MIT

  • qdrant-llamaindex-mcp-server

    azhang
    A
    license
    B
    quality
    D
    maintenance
    An MCP server for querying and managing LlamaIndex documents stored in Qdrant vector databases, with automatic embedding model detection and extensive tools for search, retrieval, and collection management.
    17
    Apache 2.0

  • memory-mcp

    MateoGuerreroE
    A
    license
    -
    quality
    B
    maintenance
    Local-first MCP server for long-term memory of dev sessions. It indexes session metadata with embeddings in Postgres/pgvector, enables semantic search over past sessions, and resolves only relevant session files for context.
    21
    MIT

  • AgenticRAG MCP Server

    aibozo
    A
    license
    -
    quality
    D
    maintenance
    An intelligent codebase processing server that provides agentic RAG capabilities for code repositories, enabling semantic search and contextual understanding through self-evaluating retrieval loops.
    2
    MIT

  • Open Brain MCP

    lazo99
    A
    license
    -
    quality
    B
    maintenance
    A self-hosted second brain MCP server that enables capturing thoughts with deduplication and semantic search using local embeddings and PostgreSQL with pgvector, all running on your own hardware.
    MIT