Rust-based hot-reload helper that proxies IO, rebuilds on changes, and preserves client state through restarts.

Extends AI assistants with detailed PageSpeed Insights results to analyze performance, accessibility, SEO, and best practices.

A Python-powered AI orchestration hub that coordinates multiple tools to automate complex, multi-step workflows and campaigns.

Neo4j-backed MCP plugin enabling deep codebase analysis, quality metrics, and documentation insights.

Launch a ready-to-run MCP server quickly with Claude integration and minimal setup.

Language-agnostic headless editor combining LSP intelligence with MCP-driven AI edits, featuring secure access, session state, and React-aware transformations.

Lightweight Python shim bridging SSE streams from a MCP endpoint to standard I/O for seamless CLI integration.

Lightweight v1 runner for model context tasks with modular, extensible TypeScript API.

Kollektiv MCP enables you to chat with and query your own documents directly from IDEs and MCP clients. Private, secure, and integrated into your favorite code editor

storybook mcp

Seamless AutoGen integration with Model Context Protocol enabling agents to connect to diverse data sources and tools with automatic schema translation.

A model context protocol (MCP) server for Umbraco

An MCP Server for analysing Github Repo Content with Gitingest

This project demonstrates how to use EdgeOne Pages Functions to retrieve user geolocation information and integrate it with large language models through MCP (Model Context Protocol).

OpenSCAD-based service rendering code to PNG, exporting STL, with docs, token-auth, and tunable concurrency for reliable CAD workflows.

Rust-based framework prioritizing ergonomic tool execution, minimal boilerplate, and clear async tooling for model integration.

Leverages PyShark to enable AI-assisted network capture, live traffic analysis, PCAP processing, and protocol-aware insights with CLI workflow and Claude integration.

Experimental F# toolkit delivering FSI, documentation, safe edits, and advanced analysis via Model Context Protocol, with .NET 9 and Fantomas integration.

DAP-based toolkit enabling rich debugging, breakpoints, stepping, source maps, value tracking, and logs for AI-driven development.

Open protocol enabling AI-driven context sharing with MISP data sources, offering plug-in integrations, secure data handling, and vendor-agnostic LLM workflows.

Modular, cross-platform agents with SSE/stdio support, secure local keys, and Glutamate app management.

Real-time MCP monitoring for Cursor editor with log analysis, streaming dashboard, and structured observability.

ArgoCD-integrated context protocol enabling AI assistants to manage apps, syncs, and settings via natural language.

AI-driven Rhino3D workflow bridge enabling Claude to orchestrate modeling and analysis through a protocol-based interface.