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  • A
    license
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    maintenance
    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
  • A
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    Not graded
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    D
    maintenance
    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0
  • A
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    maintenance
    Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.
    42 npm
    MIT
  • A
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    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
    license
    B
    quality
    D
    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
    -
  • F
    license
    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
    -
  • F
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    Not graded
    quality
    C
    maintenance
    Enables AI-compatible MCP clients to create, retrieve, update, and delete user records through five MCP tools, plus a guide resource and a prompt that auto-generates and saves random users. User data is validated with Zod and persisted in a JSON file behind a Streamable HTTP endpoint.
    -
  • F
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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.
    -
  • A
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    quality
    A
    maintenance
    Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.
    4
    MIT
  • F
    license
    Not graded
    quality
    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.
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables interaction with Plaid's financial data API to sync bank transactions and retrieve account balances with secure encrypted token storage.
    -
  • A
    license
    A
    quality
    C
    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
    D
    quality
    D
    maintenance
    A powerful Model Context Protocol (MCP) tool for exploring and managing different types of databases including PostgreSQL, MySQL, and Firestore.
    9
    5
    MIT
  • A
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    Not graded
    quality
    B
    maintenance
    Enables read-only access to Microsoft Fabric data-pipeline run history and DAX queries against semantic models, with optional write mode for pipeline execution and dataset refresh.
    8 npm
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI models to interact with MySQL databases through MCP protocol, supporting queries, table schema inspection, and data manipulation operations.
    33 npm
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to search and discover data across SQLite and CSV sources through an MCP interface, with metadata indexing and fuzzy search capabilities.
    MIT