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Manage MCP servers and configs across AI clients with fast skill discovery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-dock" yet — see the docs or source repo.
Help me organize a unified MCP configuration plan for Cursor, VS Code, and Claude Code. Group servers into development, documentation, and search, and provide migration steps and cautions.
A grouped MCP configuration plan with migration steps, compatibility notes, and implementation guidance.
I want to build an MCP toolkit for a frontend engineering team. Recommend available servers for code generation, documentation retrieval, API debugging, and testing, and explain each use case.
A recommended MCP server shortlist for frontend teams, including categories, use cases, and selection reasons.
Help me diagnose why an MCP configuration is not working in Gemini CLI and Windsurf. Provide a step-by-step troubleshooting checklist covering paths, permissions, formatting, and version compatibility.
An actionable troubleshooting checklist to identify configuration failures and suggest fixes.
Connect MCP clients to basic tools and customizable prompts.
Delegate coding, shell tasks, and codebase queries to Cursor AI.
Run a production-ready MCP server for files, HTTP, system info, and environment tools.
Connect AIChat to AI clients for roles, sessions, and automated conversations.
Build, debug, and manage software tasks with natural language across LLMs.
Connect Gemini and OpenAI CLIs for unified AI-driven development workflows.