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"Local RAG system for providing documentation to a large language model (LLM)" matching MCP servers:

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  • A
    license
    Not graded
    quality
    D
    maintenance
    A privacy-preserving local RAG system integrated with MCP, enabling natural language queries over ingested documents and a SQLite database through vector search and local database tools.
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
    -
  • A
    license
    A
    quality
    B
    maintenance
    Enables agents to query governed metrics through MCP, including describing metrics, running deterministic SQL against a warehouse, explaining join path preferences, and searching semantically ambiguous terms.
    8
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    A local development MCP server that exposes MySQL databases to VSCode and Copilot CLI with read-only SELECT queries and INSERT/UPDATE operations. It provides secure, schema-specific database access for development environments only.
    2
    -
  • A
    license
    A
    quality
    D
    maintenance
    Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
    3
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    our ChatGPT and Claude chat history in one local SQLite file, imported from their data exports. Read-only tools to search and read past conversations; no network.
    2
    5
    0
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A read-only MCP server that enables searching and extracting to-dos from local macOS WeChat chat databases. It decrypts and queries local WeChat data without sending messages or modifying databases.
    12
    4
    MIT
  • A
    license
    B
    quality
    C
    maintenance
    Enables local-first personal finance management through deterministic tools for importing, categorizing, and analyzing bank transactions.
    36
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.
    2
    AGPL 3.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    MCP server for connecting to Microsoft Fabric and Power BI semantic models, enabling workspace browsing, dataset management, TMSL retrieval, DAX queries, model creation/editing, and includes a Best Practice Analyzer with 71 rules.
    2
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Turns any OData V2 or V4 service, SAP Gateway included, into MCP tools that AI clients such as Claude, ChatGPT, Copilot, and Cursor can call without code by reading $metadata. It lets models discover entity sets and fields, then query services through built-in read-only tools.
    AGPL 3.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI assistants to discover and invoke filesystem, notes, SQLite, and utility operations over MCP, with a local-first sandbox and dashboard for testing and management.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Connects to a PostgreSQL database (pgvector) to perform semantic retrieval via the search_documents tool, returning raw document snippets for LLM synthesis.
    1
    GPL 3.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables agents to inspect and synchronize local macOS QQ data snapshots, with read-only access to contacts, conversations, messages, search, changes, exports, full tables/datasets, media assets, and favorites via MCP tools.
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    Enables LLMs to propose UPDATE/DELETE SQL that is run in a transaction, measured, and rolled back, requiring human approval before applying to prevent unauthorized changes.
    22 npm
    MIT