MCP bridge that lets ChatGPT create, view, continue, and control DeepSeek Harness (DSH) agent sessions.
An MCP bridge that lets ChatGPT Web create, view, continue and supervise DeepSeek Harness (DSH) agent sessions through the official Model Context Protocol. v0.2.0 — Visible Sessions & Goal Supervision. The bridge only connects — DSH keeps its own session log, agent loop, tools, skills, subagents, workflows, approvals, sandbox and workspace security model. It is a standalone DSH plugin: zero DSH core modifications.
Self-hosted / dogfooding development: implemented against the installed DeepSeek Harness source (0.1.0-rc.6) and verified end-to-end against a live local DSH runtime with the official MCP SDK client.
The bridge uses DSH's public plugin seams — it never re-implements DSH:
DSH capability seam Usage in the bridge --- --- ctx.agents (AgentRegistry) create() / resume() / get() — live agent lookup, session creation, and resume of persisted sessions after restarts ctx.sessions (SessionStore) live session listing, flush() durability ctx.sessionPersistence list() / inspect() — the DSH session log is the authority for session identity across ChatGPT conversations ctx.sessionTitle title read/write (plus the session/title log fold) ctx.workspaceRegistry list + resolve — only registered workspaces can host sessions ctx.approval (approval/request waterfall) the bridge is an answerer: approvals park as waitingforapproval and are decided one-by-one ctx.userQuestions (registerProvider) the bridge is the question provider: questions park as waitingforuser ctx.agentDefaultModel default provider/model selection for created sessions ctx.agentPresets (mount) same per-session preset
From the project README.
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