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Turn your AI client into a coding hub with execution, memory, and sub-agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp_coordinator" yet — see the docs or source repo.
Act as a coding agent and create a reusable skill that reads the project structure, identifies the tech stack, summarizes key modules, and stores the results in semantic memory for future tasks.
A created skill description, a project structure summary, and reusable memory entries for future tasks.
Run the tests and analyze failures. If errors appear, use suitable sub-agents to locate the issue, modify the code, rerun the tests, and summarize the fix process.
Error analysis, updated code results, test status, and a summary of the fix steps.
Remember this repository’s coding conventions, common commands, and deployment workflow. In future feature or script requests, reuse this memory first and keep the style consistent.
Structured project memory that is later reused to produce consistent code or scripts based on the saved context.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Help AI agents navigate, search, and understand codebases and change history.
Connect to the mcp API via MCP to extend AI tool capabilities.
Build, debug, and manage software tasks with natural language across LLMs.