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  3. SHIP
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Health: ActiveRecent health check succeeded.Last checked 10/13/2026, 8:32:35 PM

SHIP

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
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coding-agentsgithublinearjiraproject-management

Assigns Linear, Jira, or GitHub issues to staged AI coding agents that build, test, review, and open pull requests.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ship": {
      "url": "https://mcp.letsship.ai/mcp"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (71) Directory Badge Claim listing Alternatives🏒 More in Workplace & Productivity

Overview

The SHIP MCP server connects AI assistants to Linear, Jira, and GitHub issue workflows, then coordinates Planner, Builder, Reviewer, and Tester stages. It exposes tools for starting missions, sending instructions, inspecting progress, reviewing artifacts, and managing pull requests. Streamable HTTP provides a stateless remote endpoint with OAuth 2.1 or personal access token authentication. Reach for it when you want an assistant to operate a tracked software task through planning, implementation, review, testing, and delivery.

Use cases

β€’Start an AI implementation mission from a Linear, Jira, or GitHub issue
β€’Create a tracked issue and coding mission in one request
β€’Inspect review reports, test results, pull requests, and run artifacts
β€’Schedule recurring engineering missions for a project
β€’Merge or decline completed mission pull requests

Key features

β€’Issue-based AI coding missions
β€’Planner, Builder, Reviewer, and Tester stages
β€’Mission instructions, controls, and status inspection
β€’Pull request review, merge, and decline actions
β€’Run artifacts including test traces and screenshots
β€’Scheduled mission management

Capabilities & Tool Schemas (71) ~1.6k tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by SHIP.

start_mission

Give an issue that is already in your tracker to the agent team. By default, the mission starts at the Planner. With a plan, it starts at the Builder. With an open pull request, it starts at the Reviewer or the Tester

create_mission

Create the issue and start the mission in one call, for work that has no issue yet

send_mission_instruction

Tell an active mission what to change, or record a note for the agent that runs next

inspect_mission

The full record of a mission: its stages, verdicts, provenance and session logs

list_missions

The missions of your projects, with what each mission does now

get_mission

One mission: its stage, its review and test results, its pull request, its agent runs and the run with the proof. With `view: "full"`, also its events and the outcome of each stage

How SHIP works

What SHIP MCP server does

The SHIP MCP server turns tracked software work into managed missions for an AI coding agent team. A mission can begin from an existing Linear, Jira, or GitHub issue, or the server can create the issue as part of starting the work. The workflow assigns separate stages to a Planner, Builder, Reviewer, and Tester, with CI acting as a gate between stages.

Agents can produce code changes and open a pull request in the connected GitHub repository. From an MCP client, you can follow the mission, provide additional instructions, pause or stop it, approve continuation after a credit limit, and decide whether to merge or decline the pull request.

How it works

The service is available at https://mcp.letsship.ai/mcp over Streamable HTTP. It is stateless, so a client can reconnect without losing mission state. A mission normally starts with planning, but an existing plan can send it directly to the Builder. An open pull request can route the work to review or testing instead.

Mission records include stages, verdicts, provenance, session logs, pull requests, agent runs, and test or review results. Artifacts such as test traces and screenshots can be listed and opened through dedicated tools. The roles can use a selected harness and model, including Claude Code, Codex, OpenCode, Kilo Code, or the pi coding agent, according to the project configuration.

Setup and configuration

Add the remote endpoint to a compatible MCP client. OAuth 2.1 clients can discover the authorization flow and complete sign-in through the SHIP console. Clients without OAuth can send a personal access token as a Bearer token; tokens are created in SHIP settings and can be restricted to one project.

Claude Code, Cursor, VS Code, and Codex each have documented HTTP configuration formats. A client that supports only stdio can connect through mcp-remote. The supplied configuration can also include an Authorization header for token-based access.

Project tools expose reachable projects, project configuration, connections, auto-merge settings, issue codes, and default sandboxes. Scheduled-task tools can create, edit, disable, run, and inspect recurring missions and their past runs.

Tools and capabilities

The SHIP MCP server groups its tools around mission control, project administration, proof, and scheduling:

  • Start work from an existing issue or create a new issue and mission.
  • Send instructions to active missions and record notes for later stages.
  • List, inspect, pause, resume, stop, archive, and unarchive missions.
  • Read reviews, tests, events, agent runs, pull requests, and run artifacts.
  • Override a role’s harness, model, prompt, or checkpoint for one mission.
  • Set mission-specific auto-merge behavior and record an ending disposition.
  • Merge or decline a mission’s pull request.
  • Create and run scheduled missions, then review their costs and results.

Starting a mission or running a scheduled task consumes one credit. Messages sent to an active mission do not consume credits.

Limitations and notes

The server operates against connected external systems, so token scopes determine which projects and actions are available. Destructive or externally affecting operations include stopping missions, merging or declining pull requests, changing project settings, and approving additional credit use. Review client confirmation behavior before enabling such actions.

The README documents the remote service and client configuration rather than a local package installation. A personal access token must be supplied explicitly when OAuth is unavailable. The pull request remains open when a mission is stopped, while declining closes it without merging.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
1d ago
Most recent push to the default branch.
Tools exposed
71
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about SHIP

SHIP is an MCP server that connects AI assistants to Linear, Jira, and GitHub workflows. Its main tools create or start coding missions, send instructions, inspect stages and results, manage pull requests, retrieve run artifacts, and schedule recurring missions handled by Planner, Builder, Reviewer, and Tester agents.

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Technical Specs & Signals

Category🏒Workplace & Productivity
More technical detailsExpand β–Ύ
TransportSSE (Remote)
ClientsClaude Code, Cursor, VS Code (GitHub Copilot), OpenAI Codex CLI
Last updatedOct 13, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 12, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🏒 Workplace & Productivity β†’Best MCP servers for Workplace & Productivity β†’Best GitHub MCP servers β†’Best Jira MCP servers β†’Alternatives to SHIP β†’Install in Claude DesktopInstall in CursorInstall in VS CodeSetup guides for all 13 MCP clients