A collection of skills and MCP systems to enable users of CLI, VSCode, Claude to operate over Microsoft Fabric

Django MCP Server is a Django extensions to easily enable AI Agents to interact with Django Apps through the Model Context Protocol it works equally well on WSGI and ASGI

Unified data discovery with data lineage, context-aware search, and SQL generation using DataHub metadata.

Gift your VS Code agent a real debugger: breakpoints, stepping, inspection.

12306 MCP Server​​ 是一个基于 ​​Model Context Protocol (MCP)​​ 的高性能火车票查询后端系统。它通过标准化接口提供官方 12306 的实时数据服务，包括余票查询、车站信息、列车经停站、中转换乘方案等核心功能。

AI-powered, iterative research server that orchestrates search, evaluation, and markdown reporting with reliability-aware output for MCP workflows.

Type-safe Trello integration with rate-limited multi-board support and markdown-friendly data exports.

CLI host enabling LLM tool interactions with script automation, environment-driven config, and robust filtering across models.

Text-based search tool using Tavily API; returns AI responses, URLs, and titles with Claude Desktop and Docker-friendly setup.

Allows LLMs to run SQL queries, list and get details of jobs executions in a Databricks account.

Unifies AI agent access to Hologres metadata and SQL with versatile deployment modes and rich tooling.

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.

Windows-only desktop control server enabling precise input, window management, and screen capture via Model Context Protocol for AI-assisted automation.

MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

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Unified MCP orchestration layer centralizes servers and clients behind a single endpoint with real-time updates.

An MCP server for Massive.com Financial Market Data

BaoStock-based data access delivering diverse market metrics and historical insights with simple Python integration.

A2AJava brings powerful A2A-MCP integration directly into your Java applications. It enables developers to annotate standard Java methods and instantly expose them as MCP Server, A2A-discoverable actions — with no boilerplate or service registration overhead.

Turn meetings into live agent loops. Record, transcribe, and analyze meetings with real-time AI intelligence — before, during, and after calls.

mcp security

Codemogger is a code indexing library and MCP server for AI coding agents

SQLite-focused protocol tool enabling full CRUD, schema introspection, and custom SQL queries for rapid database interaction.

Real-time ZoomEye asset queries via MCP with caching, retries, and flexible multi-runtime deployment for AI workflows.