OpenFoodFacts-MCP is a project for managing, processing, and analyzing food product data using Open Food Facts APIs.

A focused MCP server enabling AI clients to read and write Attio company data and notes via API.

A package manager to manage all your mcp servers across platforms

🤖 Automatically generate MCP tools from your Fastify API routes.

自动化微信操作的mcp server

tidal mcp

apollo.io mcp server typescript

This project provides a toolset to crawl websites wikis, tool/library documentions and generate Markdown documentation, and make that documentation searchable via a Model Context Protocol (MCP) server, designed for integration with tools like Cursor.

A LangGraph-based gateway orchestrating multiple MCP-enabled tools to expose coding, repository, and knowledge capabilities through a single API.

Integrates MATLAB scripting with Claude, enabling creation, execution, and management of MATLAB scripts and functions via client requests.

X/Twitter MCP server

MCP Server for integrating with Splunk Enterprise

Model Context Protocol (MCP) server for Genesys Cloud’s Platform API

can your ai run anything? yes it can

ClickUp integration enabling AI assistants to manage tasks, spaces, folders, docs, and views through a standard Stdio interface using a personal API token.

Meta tooling that scaffolds, writes, and validates projects from predefined templates, aligned with the latest spec (2025-11-25) and SDK v1.27+.

Trusted AI runtime leveraging IPFS, WASM sandboxing, and standardized interfaces for decentralized AI tool hosting.

Provider-agnostic monetization layer for MCP tools enabling pay-per-request, subscriptions, and x402 on-chain options.

Production-grade core uniting context protocol with a Skills-first zero-code system, Rust gateway, and Python bindings.

Ultra-efficient, privacy-first AI assistant with local memory, cross-platform Go core, and multi-language interface for offline automation.

Unified config generator and runtime for four coding agents, exposing MCP services from a single Go codebase, ensuring consistent setup, tooling, and governance across projects.

Unified real-time, cross-domain intelligence with BYOK AI chat, dual transports, and a zero-config, vanilla-JS frontend for immersive geospatial tracking.

Open-source AI video pipeline. Text prompt → scenario → images → video clips → editor → MP4. Self-hosted, multi-provider, MCP-ready.

Glider MCP - Roslyn-powered C# code analysis for AI assistants