Browse and discover Model Context Protocol compatible clients.
Manage and coordinate multiple AI CLI instances with real-time monitoring, hierarchical control, and multi-agent verification for large-scale automation.
Extract and convert web pages into clean Markdown, preserving structure and media, with automatic mode selection and zero setup required.
Deliver a local, Windows-based execution layer for MCP-capable agents with zero cloud dependency and broad agent support.
Structure AI-assisted TDD with a plan-apply-unify loop for clearer tests, tighter context, and steady code progress
Provide AI assistants access to Reddit data using a Model Context Protocol server without requiring API keys.
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
Provide a server for RequestRepo enabling request handling, sharing, DNS, files, and ping with secure, configurable transport and mutation control.
Simple MCP server that returns "Hello World!" message. Easy to set up with any MCP-compatible AI client. 🌍💻
Build Meshy 3D agent skills to generate, texture, rig, animate, and prep 3D models for print without an MCP server
Detect and reduce wasteful AI token usage by warning on large outputs, verbose logs, and repeated history in MCP-compatible clients.
Provide a TypeScript client that reverse-engineers QClaw's WeChat OAuth2 login and jprx gateway protocol for seamless Tencent API access.
Manage MCP server configs and behavioral rules across AI coding platforms with automatic detection and version control, requiring no dependencies.
an mcp server for a valtown wrapper (terrible description)
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