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.
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.
Lets Claude Code, Codex, or any MCP client drive DeepSeek Harness as a long-lived coding agent: starting and resuming conversations, dispatching tasks in the background, streaming live output and reasoning stats, interjecting or interrupting mid-turn, handling approval prompts, and collecting results later. Sessions persist by ID, so work survives process restarts and can be handed back to a DSH GUI when needed.
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.
Exposes a running DeepSeek Harness as an MCP endpoint so any other agent or script can create workspaces and sessions, hand coding tasks to the DSH agent, read and write files, run shell commands, and invoke permitted harness tools under the same sandbox, transcript, and permission policy as the DSH UI.
Exposes opencode's coding agent and shell as MCP tools, enabling MCP-only AI clients to execute shell commands, manage files, and run agent sessions with async job handling.
