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    A read-only MCP server for Anaplan that exposes 5 tools for business users to explore data through an AI assistant, with session caching and metadata gating.
    5
    MIT
  • F
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    B
    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
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    quality
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    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
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    maintenance
    A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.
    38
    Apache 2.0
  • A
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    A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.
    GPL 3.0
  • A
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    Enables full-text search of macOS iMessages including link preview metadata. Works as an MCP server for Claude Desktop to search your messages locally.
    1
    MIT
  • A
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    F
    maintenance
    Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.
    12
    10 npm
    16
    Apache 2.0
  • A
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    Enables AI systems to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language.
    3
    24 npm
    4
    ISC
  • A
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    Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.
    13
    4
    Apache 2.0
  • F
    license
    B
    quality
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    maintenance
    An MCP server providing tools for user information management with capabilities for retrieving, searching, and adding user data stored in a JSON file.
    6
    2
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  • A
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    C
    quality
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    maintenance
    Enables searching for any text within a specified Algolia index through an MCP-compatible interface. It allows users to integrate Algolia search capabilities into their environment using an application ID and API key.
    1
    1
    MIT
  • A
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    maintenance
    MCP server that aggregates job listings from Remotive and Arbeitnow, with local SQLite caching, application tracking, and saved searches.
    36 npm
    MIT
  • A
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    quality
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    maintenance
    MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.
    MIT
  • A
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    Not graded
    quality
    A
    maintenance
    Experimental read-only MCP for Supabase application data: memory_search, memory_get and memory_list_recent under user-bound PostgreSQL RLS. Setup and demo: https://github.com/jryski/Supabase_user_MCP/blob/main/docs/GETTING_STARTED.md . Public preview is POSIX-only and synthetic-only; native Windows, hosted OAuth, one-click installation and writes are not available.
    Apache 2.0
  • F
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    Not graded
    quality
    C
    maintenance
    A testing server that provides CRUD operations on a JSON user database via MCP tools, enabling AI assistants to list, search, add, update, and delete users.
    1
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  • F
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    maintenance
    A Model Context Protocol server that searches transcript segments in a Turso database using vector similarity, allowing users to find relevant content by asking questions without generating new embeddings.
    4
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  • F
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    Not graded
    quality
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    maintenance
    Enables Claude Desktop to interact with PostgreSQL databases through natural language for schema exploration, data analysis, and query execution. Users can search schemas, describe tables, and perform read or write operations without needing to write manual SQL.
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