Browse and discover Model Context Protocol compatible servers
Mastra is a TypeScript framework for rapidly building AI applications, offering primitives like workflows, agents, RAG, integrations, and evals, supporting local or serverless cloud deployment with unified LLM provider interaction.
FastMCP was a Python library for building Model Context Protocol (MCP) servers quickly and easily, allowing developers to create tools, expose resources, and define prompts with minimal boilerplate. However, it
Your ultimate Go microservices framework for the cloud-native era.
AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
This repository provides a Python implementation of the Model Context Protocol (MCP), offering tools and resources for building servers, managing context, and integrating with applications like Claude. It simplifies interaction
**n8n workflow builder MCP for Claude Desktop/Code/Windsurf/Cursor. Automates n8n workflow creation using AI.**
Here are a few options, prioritizing clarity and SEO: * **MaxKB: Enterprise AI assistant w/ RAG, workflows, & MCP tool use. Open-source.** (75 characters) * **MaxKB: Open-source AI assistant for
Anthropic's educational courses
Opik is an open-source LLM evaluation framework designed to help build better, faster, and cheaper LLM systems through tracing, evaluations, and dashboards for RAG chatbots, code assistants, and agentic pipelines.
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Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.
🚀 Self-hosted TikTok & Douyin scraper and no-watermark video downloader — async REST API, MCP server, CLI and web console for posts, profiles, comments and playlists. Self-healing identity pool, PostgreSQL archive, one docker compose up. 抖音、TikTok 数据采集与无水印视频下载 API,自托管,支持 MCP 调用与 Docker 一键部署。
Agentic is a marketplace and platform for LLM tools, focusing on quality and ease of use with MCP (Model Context Protocol) support. It allows both consumption and publishing of LLM tools with a focus on curated, high-quality integrations.
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MCP learning resource. .NET, Java, TypeScript, JavaScript, Python examples. Teaches Model Context Protocol fundamentals. #MCP #ModelContextProtocol