Concord MCP is an open-source orchestration harness and Model Context Protocol (MCP) server developed by Get Concord AI. It provides structured task orchestration, state inspection, and inter-process monitoring for autonomous AI coding agents operating across multiple harnesses and development tools. In day-to-day development, Concord acts as an MCP server connecting MCP-compliant clients (such as Claude Desktop, Cursor, or headless agent runners) to underlying development workspaces. It exposes dedicated tools like `get_work_state`, handles parent/child task breakdowns, and manages state transitions. Developers interact with Concord through CLI commands (`concord check`, `concord watch`, `concord hook`) or allow connected LLMs to invoke its coordination tools directly during multi-step coding sessions. What distinguishes Concord MCP is its focus on multi-harness message monitoring and structured task handoffs rather than simple single-prompt code completion. It treats agent execution as a stateful, hierarchical workflow with reclaim scope feedback and lifecycle boundaries that prevent agent drift across complex tasks. Concord MCP is an open-source TypeScript project published to the MCP Registry and maintained under active community development on GitHub.
Tags: ai agent, cli, code assistant, coding agent, developer tools, OpenSource