Shared work-state for coding agents: claim work, leave handoffs, and generate review packets before PRs, over MCP.
git clone https://github.com/Get-Concord-AI/concord-mcp && cp concord-mcp/*.md ~/.claude/agents/Subagents overview
What people ask about concord-mcp
What is Get-Concord-AI/concord-mcp?
+
Get-Concord-AI/concord-mcp is subagents for the Claude AI ecosystem. Shared work-state for coding agents: claim work, leave handoffs, and generate review packets before PRs, over MCP. It has 131 GitHub stars and was last updated yesterday.
How do I install concord-mcp?
+
You can install concord-mcp by cloning the repository (https://github.com/Get-Concord-AI/concord-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is Get-Concord-AI/concord-mcp safe to use?
+
Get-Concord-AI/concord-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains Get-Concord-AI/concord-mcp?
+
Get-Concord-AI/concord-mcp is maintained by Get-Concord-AI. The last recorded GitHub activity is from yesterday, with 15 open issues.
Are there alternatives to concord-mcp?
+
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
Deploy concord-mcp to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/get-concord-ai-concord-mcp)<a href="https://claudewave.com/repo/get-concord-ai-concord-mcp"><img src="https://claudewave.com/api/badge/get-concord-ai-concord-mcp" alt="Featured on ClaudeWave: Get-Concord-AI/concord-mcp" width="320" height="64" /></a>More Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The agent engineering platform.
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.