The Fabric-Analytics-MCP server enables AI agents to interact directly with Microsoft Fabric using natural language. It transforms complex data engineering tasks—such as workspace management, data exploration, and job execution—into intuitive, conversational workflows for LLMs like Claude or GitHub
Provides full execution and management capabilities for Microsoft Fabric Data Engineering workloads, including notebooks, pipelines, Lakehouses, and Spark jobs. It enables users to trigger runs, monitor status, manage workspace items, and configure job schedules through natural language.
Fabric MCP Server: Seamlessly integrate Fabric AI capabilities into MCP-enabled tools like IDEs and chat interfaces.
Provides access to 120+ Facebook Graph API v23.0 Insights metrics through MCP tools and resources. Features intelligent fuzzy search capabilities and real-time metric discovery for comprehensive Facebook analytics data.
Enables AI agents to manage Facebook profiles, pages, posts, and engagement via the Graph API with OAuth authentication.
Enables posting text messages to Facebook business pages through MCP. Supports OAuth authentication and manual connection methods for managing Facebook page content.
Enables programmatic access to Meta Ads data and management features, including campaign insights, ad account details, performance metrics, and change history through the Meta Ads API.
Live CS2 FACEIT data for Claude — query player stats, match history, head-to-head comparisons, recent form, per-map breakdowns, and full match scoreboards for any public FACEIT player using natural language.
A Model Context Protocol server that enables flight searching, booking, and payment processing. It also provides access to resources like user profiles, pricing rules, and company travel policies.
mcp-meilisearch
This is my MCP server code, mainly for a learning purpose.
Enables management and monitoring of farm operations including field and crop tracking, livestock monitoring, equipment management, and sensor readings through a Model Context Protocol interface built with FastMCP.
公开目录未提供摘要。
A minimal CRUD API for items that exposes FastAPI endpoints as MCP tools, enabling natural language interaction with a database through PydanticAI agents.
A zero-configuration tool that automatically converts FastAPI endpoints into Model Context Protocol (MCP) tools, enabling AI systems to interact with your API through natural language.
Enables interaction with Supabase databases and n8n workflows through a JSON-RPC 2.0 MCP server. Provides database operations, vector search capabilities, and webhook-based workflow automation with secure API token authentication.
A production-ready Model Context Protocol server built with FastAPI, featuring JWT authentication, PostgreSQL database support, Redis caching, and comprehensive health monitoring for building secure async API applications.
A sample FastAPI project that implements the Model Context Protocol (MCP), allowing AI assistants to connect to a PostgreSQL database and manage notes through natural language interactions.
Demonstrates how to integrate Model Context Protocol with Server-Sent Events (SSE) in a FastAPI web application, including a weather service example with tools for getting forecasts and alerts.
An MCP server that integrates with FastMail's JMAP API to manage mailboxes, search for emails, and send messages. It enables users to interact with their FastMail account for tasks like reading email content and managing folders through natural language.
