Agentic coding for your SDLC
SHIP is your autonomous software team. Assign a Linear, Jira or GitHub issue to SHIP, and its autonomous coding agents plan, build, review and test the change in your own GitHub repository.
Example path → ·
https://mcp.letsship.ai/chatgpt/mcpSHIP runs a team of AI coding agents (planner, builder, reviewer, QA) on the user's own GitHub repository. Each mission takes one issue to a pull request that passed CI, a code review and a test of its acceptance criteria. Start with whoami (who you act as, the workspace and the token's scopes) or (the project ids that mission calls need). Mission lifecycle:
runs an issue that already exists in the tracker; files the issue and starts it in one call.
A mission runs for tens of minutes. To wait on one of its agent runs, call , not a poll: it returns when the run ends or its stage changes. Read between runs. has the full record when one fails.
To change what a mission does, or to answer its review, call . Never call again to send feedback: call it again only to restart a mission that ended or needs attention. Credits: , and each start a mission, and every started mission spends workspace credits. Read before you start work for someone. Instructions to a mission that is already open are free. Handles are stable: an issue id (SHIP-123, WEB-42) and a project id name the same mission and project across calls and conversations. Keep them instead of searching again. A refusal that names a missing scope means this token cannot do that action. Ask the person to grant the scope; do not retry.
6 in the ChatGPT listing