Exposes DeepSeek Harness agent capabilities as an MCP server, letting any MCP client drive Harness to execute real coding tasks with structured results, context isolation, and parallel execution.
Enables external MCP clients to drive DeepSeek Harness agents for real coding tasks, providing tools for task execution and queueing, session management, sandboxed file access, preset switching, and usage statistics.
MCP server bridging ChatGPT to DeepSeek Harness, exposing 13 tools for task submission, status tracking, result retrieval, project/session management, and human-in-the-loop approvals.
Exposes DeepSeek Harness agent capabilities over MCP so any MCP client can delegate real coding work to a running agent with its full toolset (bash, filesystem, todo, web). Turns are dispatched asynchronously into sessions and then tracked through status, tail, wait, cancel, compact, and rename tools, with the session log as the source of truth so results survive restarts.
Lets any MCP-capable coding harness (Cursor, Claude Code, Codex, Gemini CLI, VS Code/Copilot, opencode, and others) hand a self-contained task to a real, isolated DeepSeek Harness process that works in a chosen workspace with its own context window, model, and toolchain, then returns the final answer. Exposes task submission with time estimates and acceptance criteria, status polling with live progress and process-tree telemetry, graceful cancel and forced kill of whole process trees, and a health probe reporting concurrency, deadlines, and recent jobs.
Lets any MCP-capable AI coding harness route code reviews and codebase questions through DeepSeek's web chat, exposing review, ask, and status tools with read-only repository access by default.
