The Model Context Protocol allows applications to provide context for LLMs in a standardized way, separating the concerns of providing context from the actual LLM interaction. This TypeScript SDK implements the full MCP specification, making it easy to.
Use installed AgentSkills when the user request matches a skill description. Read the matching SKILL.md first, then load referenced files only when needed.
Cursor rule "rule-generating-agent" from Kargatharaakash/mcp-pinterest, covering cursor rules format, template structure for rules files, rule title, critical rules and examples.
This rule provides comprehensive best practices for developing MCP servers using FastMCP 3.0, covering logging, tool design, error handling, testing, and production-ready patterns.
PSX Repotector guards this repo. Handshake FIRST and say who you are — every crossing is logged in a visitor register. No deep tool answers until you handshake.
Rules for using the Model Context Protocol, a standard that lets AI models interact with external tools and resources. In this project, those tools provide access to an EdgeDB database, which stores application data.
The Model Context Protocol allows applications to provide context for LLMs in a standardized way, separating the concerns of providing context from the actual LLM interaction. This TypeScript SDK implements the full MCP specification, making it easy to.
A set of instructions for developing MCP servers, which connect AI assistants to external tools and data. It focuses on TypeScript, Node.js, and the MCP software development kit.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: