Browse and discover Model Context Protocol compatible clients.
Build and manage Claude agent workflows with a TypeScript and SvelteKit app for structured AI automation and local SQLite storage
Structure AI-assisted TDD with a plan-apply-unify loop for clearer tests, tighter context, and steady code progress
Manage and install MCP servers across multiple AI clients from a single CLI for seamless Model Context Protocol integration.
Enable AI agents to process webhooks and RSS feeds using native MCP tools for streamlined, event-driven automation and data handling.
A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.
Enable headless Binary Ninja reverse engineering via MCP for AI agents to perform deep analysis, patching, and type management without a GUI.
ADP MCP Server — Model Context Protocol server for AI assistant integration (read-only split from app-dev-panel/app-dev-panel)
A FastAPI-based MCP server that provides YouTube video metadata and transcripts as a tool for Cursor and other MCP-compatible clients. Fetches title, description, author, publish date, view count, tag
🤖 Enhance customer support with an AI chat platform that delivers intelligent, context-aware responses through a seamless full-stack solution.
Build Claude Code content workflows with 8 skills, persistent memory, and a quality gate for cleaner drafts and better SEO.
Provide a server for RequestRepo enabling request handling, sharing, DNS, files, and ping with secure, configurable transport and mutation control.
Manage and debug local Model Context Protocol servers with an easy desktop app that auto-discovers and monitors MCP instances.
Generate configuration files for AI coding agents by detecting your stack and applying community rules for better session context.
Manage and coordinate multiple AI CLI instances with real-time monitoring, hierarchical control, and multi-agent verification for large-scale automation.
Control GitHub Actions workflows from your AI assistant to list runs, read logs, rerun jobs, cancel builds, and trigger deployments within your editor.