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"Allowing MCP and Claude to Interact with Firebase/Firestore Database" matching MCP servers:

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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
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    MIT
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    Enables AI assistants to connect to and interact with PostgreSQL, MySQL, SQLite, and MongoDB databases through natural language, supporting schema exploration, query execution, data export, and more.
    MIT
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    Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.
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    MIT
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    Enables AI assistants to interact with PostgreSQL and Supabase databases through natural language. Supports secure database operations including queries, migrations, and schema management with user-provided credentials.
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    MIT
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    Read-only Text-to-SQL MCP server for PostgreSQL and MySQL that lets users query databases using natural language, with robust multi-layer safety guarantees against writes.
    22
    MIT
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    An MCP server that enables Claude to query multiple databases (PostgreSQL, ClickHouse, MaxCompute) with automatic schema discovery and intelligent table search.
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    A persistent semantic memory system for Claude Code that provides a structured, versioned document store with semantic search and graph visualization. It acts as a memoization layer to store and retrieve research, design decisions, and codebase insights across different work sessions.
    10
    Apache 2.0
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    Enables access to comprehensive vehicle information including VIN decoding, license plate OCR, vehicle history checks (theft, title, salvage records), market valuations, specifications, and warranty data for vehicles across North America and Europe.
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    MIT
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    An MCP server that enables Claude to search, retrieve, and contribute to a community-driven archive of AI-generated solutions, notes, skills, and tools, fostering knowledge sharing among AI agents.
    MIT
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    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
    1
    MIT
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    Enables searching and retrieving Claude Code conversation history via hybrid semantic and keyword search, allowing the agent to access its own past interactions.
    4
    MIT
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    Connect your LLMs to SQL databases safely and intuitively using the Model Context Protocol (MCP). NLP Database acts as a secure, read-only bridge that allows AI agents to explore schemas and query data using natural language.
    3
    MIT
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    Enables natural language queries to a company database through the Model Context Protocol, with read-only enforcement and agentic error recovery.
    MIT
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    Enables search, analytics, and visualization of Claude Code sessions with MCP tools for session management, recovery, and insights.
    1
    MIT
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    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