MCP Clients

Build a local MCP server that turns files, images, and video into fast spatial search for AI agents using Gemini embeddings and ChromaDB

🚀 Execute SSH commands and manage SFTP operations on remote servers easily with this Model Context Protocol server for AI assistants.

Manage MCP server configs and behavioral rules across AI coding platforms with automatic detection and version control, requiring no dependencies.

Build Claude Code content workflows with 8 skills, persistent memory, and a quality gate for cleaner drafts and better SEO.

🤖 Enhance customer support with an AI chat platform that delivers intelligent, context-aware responses through a seamless full-stack solution.

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

Manage and debug local Model Context Protocol servers with an easy desktop app that auto-discovers and monitors MCP instances.

ADP MCP Server — Model Context Protocol server for AI assistant integration (read-only split from app-dev-panel/app-dev-panel)

Generate configuration files for AI coding agents by detecting your stack and applying community rules for better session context.

Enable headless Binary Ninja reverse engineering via MCP for AI agents to perform deep analysis, patching, and type management without a GUI.

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.

Deliver a local, Windows-based execution layer for MCP-capable agents with zero cloud dependency and broad agent support.

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 AI agents to process webhooks and RSS feeds using native MCP tools for streamlined, event-driven automation and data handling.