Packages

MCP server (mcp-server-fetch) that provides a fetch capability to agents via the Model Context Protocol, enabling them to retrieve external resources as part of tool calls.

Provides an MCP server that exposes Microsoft Graph functionality to MCP-capable AI agents, allowing the agent to perform directory/user/mail/workload actions via Graph-backed tools (exact tool surface depends on the repository implementation).

Converts an MCP server configuration into an Anthropic Claude Skill package that uses progressive disclosure: Claude loads only minimal metadata at startup, loads full tool instructions when the skill is invoked, and executes MCP tool calls externally via a generated executor.

Provides a local read-only MCP server that exposes Microsoft Teams data through CData JDBC Driver-backed, SQL-like tools (get_tables, get_columns, run_query) for AI clients such as Claude Desktop via stdio.

MCP server that exposes Proxmox (virtualization) management capabilities to an AI agent via the Model Context Protocol, enabling tool-based actions against a Proxmox host/cluster.

Radarr is a self-hosted media management application for movies. It lets you add movie releases, searches for matching releases in configured sources, and manages downloading and organization (including renaming, folder placement, and quality profiles) via external download clients.

Provides an MCP server (built with FastMCP) that integrates with RongCloud IM services to support user management, private and group messaging, group lifecycle operations (create/dismiss/join/quit), and retrieval of messages and group members.

A minimal example MCP (Model Context Protocol) server intended for “Deep Research”-style workflows that can search and fetch cupcake order data from a local records.json dataset.

semantic-model-mcp-server is a Python MCP server that connects to Microsoft Fabric and Power BI semantic models to browse workspaces/datasets, retrieve and validate TMSL, execute DAX queries, and create/update models via TMSL. It also includes a Best Practice Analyzer (BPA) that evaluates TMSL against a set of industry/Microsoft-recommended rules, plus tooling for detecting and using local Power BI Desktop instances for development/testing.

Provides an MCP (Model Context Protocol) server that connects an AI agent to Microsoft SQL Server, enabling agent-driven database interactions (e.g., querying/inspecting SQL Server) via MCP tools.

Provides an MCP (Model Context Protocol) server (Python, Docker) that exposes tools for CRUD operations on tables in a Supabase database using SUPABASE_URL and a SUPABASE_SERVICE_KEY.

A Docker-first reference architecture/monorepo for orchestrating multiple AI agents with GitHub Project workflows, tool integration via multiple MCP servers, hardened containerized CI/CD, and research/simulation packages focused on AI agent trust/security concepts (e.g., sleeper-agent detection). It provides Rust CLI tools for board/PR monitoring and validation plus supporting docs and companion packages.

workos-meeting-mcp-server is an MCP server package intended to expose WorkOS meeting-related capabilities to agent runtimes via the Model Context Protocol, likely translating agent tool calls into WorkOS Meeting API operations.

Provides an MCP server that implements an x402-style micropayment gateway for AI agents. It exposes MCP tools to create payment requests, verify USDC payments on Solana, query payment status/history, set per-tool pricing, and fetch revenue statistics.

Codingbuddy is an MCP server (CLI distributed via npm) that orchestrates multi-agent review and implementation cycles (PLAN → ACT → EVAL, with AUTO mode) to enforce coding quality gates and produce session impact telemetry.

Provides an MCP (Model Context Protocol) server that exposes Crawl4AI web scraping/crawling capabilities (scrape, crawl, URL discovery, search, extract) to MCP clients such as Claude Desktop. It is intended to run as a remote service on Cloudflare Workers and supports OAuth and Bearer-token (API key) authentication.

LG Therma V MCP server that exposes heat-pump controls and status to MCP clients by connecting to a Therma V heat pump over Modbus TCP.

Provides an MCP server (via Spring AI MCP framework) that allows an LLM to read from and write to local Excel files (.xlsx/.xls). It runs as a stdio-based MCP server (Java command) and exchanges Excel content using the MCP protocol, returning JSON for read operations and writing JSON-provided data back into Excel.

Runs an HTTP server that exposes a REST endpoint to forward requests to one or more Model Context Protocol (MCP) servers. It supports bearer-token authentication (optionally disabled), loads MCP server commands from a JSON configuration file, and includes a health check and logging.

Provides an MCP (Model Context Protocol) server and Python client integration for querying Wolfram Alpha. It also includes example clients (e.g., LangChain/Gemini) and a Gradio UI to submit questions and view results.