Browse and discover Model Context Protocol compatible clients.
Extend Apache Superset with Model Context Protocol to integrate and manage machine learning models efficiently within data dashboards.
Control GitHub Actions workflows from your AI assistant to list runs, read logs, rerun jobs, cancel builds, and trigger deployments within your editor.
Turn AI browser actions into polished demo GIFs and MP4s with click, keystroke, zoom, and pan capture
an mcp server for a valtown wrapper (terrible description)
Build Claude Code content workflows with 8 skills, persistent memory, and a quality gate for cleaner drafts and better SEO.
Analyze FPL data for captain picks, transfers, chip timing, and league insights with real-time Python MCP tools
Provide a server for RequestRepo enabling request handling, sharing, DNS, files, and ping with secure, configurable transport and mutation control.
Build UEFN Python tools for asset registry, device cataloging, and workflow automation with 355 utility functions
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.
Deliver a local, Windows-based execution layer for MCP-capable agents with zero cloud dependency and broad agent support.
Enable runtime analysis and control of AI agents with a dynamic process hacking server similar to Process Hacker for enhanced debugging and integration.
Orchestrate multi-agent workflows with LangGraph for Python 3.11+, with a lightweight, tested framework for routing tasks and agents
Build and manage Claude agent workflows with a TypeScript and SvelteKit app for structured AI automation and local SQLite storage