38,699 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
MCP server "m365copilot-dev-mcp" as configured in sebastienlevert/m365copilot-dev-mcp. Runs locally from the @microsoft/m365copilot-dev-mcp npm package.
Comprehensive MCP Server Skill combining base development guidance with enterprise packaging best practices (security, observability, CI/CD, Kubernetes, network, compliance). Use for building MCP servers in Python (FastMCP) or TypeScript with production readiness.
MCP server exposing OpenClaw tools (smart home, memory, cron, sub-agent orchestration) to Claude Desktop, Cursor, Windsurf, and any MCP client. Includes Gemini, Codex, and local LLM sub-agents plus smart prompt splitting.
Flask Extension for apcore AI-Perceivable Core integration, exposes Flask routes as MCP tools with auto-discovery, schema inference, YAML binding, and built-in observability. Supports MCP server (stdio/HTTP) for LLM tool integration. Runs locally from the flask-apcore Python package.
A set of instructions for building MCP servers, which let AI assistants use external tools and data. It covers server setup, communication, feature registration, web-framework integration, authentication, and state handling.
Natural-language backend: a local LLM picks one of your registered actions and extracts its arguments — your code validates (zod), authorizes, and executes. Project-agnostic, local-first (Ollama), no hardcoded keyword routing. Runs locally from the nlbackend npm package.
Compiler and MCP server that turns SKILL.md capability manifests into cross-runtime AI agent tools. Runs locally from the @effectorhq/skill-mcp npm package.
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The AIReady Model Context Protocol (MCP) Server for Agentic Readiness. Optimize codebases for AI agents like Cursor, Windsurf, and Claude directly via MCP. Runs locally from the @aiready/mcp-server npm package.