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  • A
    license
    Not graded
    quality
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    maintenance
    A portfolio MCP server demonstrating four tools (web search, database query, file reading, directory listing) with read-only SQL, filesystem sandbox, and both stdio and HTTP transports.
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    A collection of production-ready MCP tools for common tasks such as web search, code execution, file operations, and database queries, enabling AI agents to perform these actions through a unified interface.
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    quality
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    maintenance
    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
    license
    A
    quality
    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
    21
    17
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    Connect AI assistants to Manticore Search. Execute SQL queries, list tables, get schemas, and fetch documentation. Perfect for building RAG applications and search-powered AI agents.
    5
    4
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    MCP data connector for Jazz v2 alpha servers, providing schema discovery and query/read tools with optional mutation capabilities for application data.
    9
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables comprehensive interaction with NetBox infrastructure management through both read and write operations. Supports full CRUD operations for devices, IP addresses, sites, racks, and other NetBox objects through natural language commands.
    9
    16
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    A Model Context Protocol server for Elasticsearch, enabling search, index inspection, and cluster information tools with optional write tools.
    14
    19
    1
    ISC
  • A
    license
    A
    quality
    D
    maintenance
    Enables AI agents to format SQL, explain queries in plain English, analyze schemas, build queries from natural language, and generate migrations, all without requiring a database connection.
    5
    50
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Exposes SQL Server and Snowflake schema metadata to AI coding agents, enabling schema search, join path discovery, and stored procedure metadata retrieval without live queries.
    18
    GPL 3.0
  • A
    license
    A
    quality
    D
    maintenance
    A SQL Server CLI and MCP server for Claude Code that supports standard SQL Server authentication for database interaction and management. It enables users to perform schema exploration, execute queries, and manage data records with built-in SQL injection prevention.
    12
    5
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    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
    19
    4
    ISC
  • A
    license
    A
    quality
    D
    maintenance
    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
  • A
    license
    B
    quality
    D
    maintenance
    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
    1
    0
    4
    MIT
  • F
    license
    B
    quality
    D
    maintenance
    Provides AI agents with access to file metadata, vector search, and workflow metrics. It enables operations such as file metadata retrieval and semantic search over file embeddings using pgvector.
    3