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A curated, community-maintained list of Model Context Protocol (MCP) servers, organized by category, with sections for MCP clients, tutorials, and community resources. The repository is a directory of production-ready and experimental servers that extend AI capabilities through file access, database connections, and API integrations; it is a list, not a runnable MCP server itself.

🐍 - A high-level framework for building MCP servers in Python

MCP server that connects Blender to LLM clients through a Blender addon and a socket-based connection. It lets an AI create, modify, and delete 3D objects, apply materials and colors, execute Blender Python code, and pull in assets from Poly Haven, Sketchfab, and Poly Pizza, with multi-angle views and renders so the model can check its own work.

🎖️ ☁️ - AWS MCP servers for seamless integration with AWS services and resources.

🏎️ 🏠 - Kubernetes bulk port forwarding with service discovery, /etc/hosts management, traffic monitoring, and pod log streaming

(****) - A curated list of MCP servers by ****

🎖️ 📇 ☁️ - Integration with Cloudflare services including Workers, KV, R2, and D1

📇 - A high-level framework for building MCP servers in TypeScript

📇 ☁️ - Discover, extract, and interact with the web - one interface powering automated access across the public internet.

A curated list of MCP servers by ****

Beelzebub is an open-source deception framework (a honeypot framework) for deploying decoy services and capturing attacker interactions as security evidence. Services, routes, and response rules are defined in YAML with static handlers or LLM-powered responses across SSH, HTTP, TCP, TELNET, and MCP protocols; events can be inspected in local logs, published to RabbitMQ, or reported to Beelzebub Platform, with Prometheus metrics for monitoring.

🐍 🏠 - Yet another CLI tool for testing MCP servers