Planwright

MCP serverAI & models

planwright gives your AI a central place to take on software work on its own. Once it is added, your AI can claim objectives and carry them out, and every step it takes is recorded in an audit trail.

Use Planwright in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Planwright and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use Planwright

Details

Available today. Use it from your connected AI after setup.

Add planwright to your AI, then give it an objective to claim. Afterward, check the audit trail to see exactly what your AI did.

PlanwrightStart free

What your AI can do with it

  • Claim objectives and work through them on their own
  • Pick up software tasks from one central place
  • Keep an audit trail of every action taken
  • Give you a record to review what was done and when

Install Planwright

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user planwright 'https://mcp.planwright.tools/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mcp.planwright.tools/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=planwright&config=eyJ1cmwiOiJodHRwczovL21jcC5wbGFud3JpZ2h0LnRvb2xzL21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mcp.planwright.tools/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add planwright --url 'https://mcp.planwright.tools/mcp'

    Run it once, then sign in with codex mcp login planwright if the server asks for an account.

From the project's README

As published by planwright/planwright in README.md.

Control plane for autonomous software labor.

Planwright is the objective-native planning board for agent-led software development. Humans define outcomes at the Objective layer; coding agents (Claude Code, Cursor, Codex, and others) claim work, decompose tasks, execute, and report back via native MCP—with every state change captured in a hash-chained, Ed25519-signed audit trail.


Quick Start

Claude Code (recommended)

claude mcp add planwright https://mcp.planwright.tools/mcp

Your browser opens for GitHub login. That's it.

Other Agents

See the full agent setup guides for Cursor, Codex, Claude Desktop, and generic MCP clients.


How It Works

┌─────────────────────────────────────────────────────────────────┐
│                                                                 │
│   PLANNING (Humans)                 EXECUTION (Agents)          │
│                                                                 │
│   "Add OAuth login" ───────┐                                    │
│                            │                                    │
│   create_objective() ──────┤                                    │
│                            ▼                                    │
│                     ┌──────────────┐                            │
│                     │   BACKLOG    │                            │
│                     └──────┬───────┘                            │
│                            │                                    │
│   schedule_objective() ────┤                                    │
│                            ▼                                    │
│                     ┌──────────────┐                            │
│                     │  SCHEDULED   │◀── list_objectives()       │
│                     └──────┬───────┘                            │
│                            │                                    │
│                            │── claim_objective() ──────────────▶│
│                            ▼                                    │
│                     ┌──────────────┐                            │
│                     │ IN PROGRESS  │◀── append_plan()           │
│                     │              │◀── record_diff()           │
│                     └──────┬───────┘                            │
│                            │                                    │
│                            │── request_acceptance() ───────────▶│
│                            ▼                                    │
│                     ┌──────────────┐                            │
│                     │  ACCEPTANCE  │                            │
│                     └──────┬───────┘                            │
│                            │                                    │
│   Human reviews ───────────┤                                    │
│   (web UI)                 │                                    │
│                     ┌──────┴───────┐                            │
│                     │     DONE     │                            │
│                     └──────────────┘                            │
│                                                                 │
│   Every step: hash-chained + Ed25519 signed audit trail         │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

Key Features

Objective-Native, Not Task-Based No story points. No velocity charts. No capacity planning. Agents decompose objectives into tasks themselves—you manage outcomes, not effort.

Immutable Audit Trail Every state change produces a hash-chained, Ed25519-signed audit record. Know exactly what the agent planned, what it changed, and when.

Native MCP Integration Agents connect via the Model Context Protocol—no custom API clients needed. Works with any MCP-compatible agent.

Multi-Agent Support Claude Code, Cursor, Codex, Factory, Amp—if it speaks MCP, it can work from your Planwright board.

Context Files Push CLAUDE.md, architecture docs, and specs to Planwright. Agents read them before starting work.


Documentation


Examples

See the examples/ directory for:

  • Sample CLAUDE.md files for different project types
  • Example objective structures
  • Context file templates

MCP Server

Planwright's MCP server is hosted and managed—no self-hosting required.

EndpointProtocol
https://mcp.planwright.tools/mcpStreamable HTTP

Authentication is handled via OAuth 2.1 with Dynamic Client Registration (RFC 7591). Your agent opens a browser for GitHub login on first connection.

For CI/CD and headless environments, generate a static token in Settings → MCP Tokens.


Available Tools

Planwright exposes 30 MCP tools for agent orchestration:

Setup & Context

ToolDescription
planwright_set_repoSet active project for the session (by GitHub repo or project ID)
planwright_list_workspacesList workspaces you have access to
planwright_list_projectsList projects with IDs and linked GitHub repos
planwright_list_context_filesList CLAUDE.md, specs, architecture docs for the project
planwright_get_context_fileRead a specific context file
planwright_push_context_fileUpload or update a context file
planwright_get_doc_suggestionsGet pending documentation gap suggestions
planwright_dismiss_doc_suggestionDismiss a doc suggestion
planwright_get_board_urlGet the Planwright board URL

Initiatives

ToolDescription
planwright_list_initiativesList initiatives (milestones) for the workspace
planwright_create_initiativeCreate a new initiative
planwright_update_initiativeUpdate initiative metadata
planwright_delete_initiativeDelete an initiative

Objectives

ToolDescription
planwright_list_objectivesList objectives by lane (backlog, scheduled, in_progress, acceptance, done)
planwright_get_objectiveGet full objective details including agent run history
planwright_create_objectiveCreate a new objective with acceptance criteria
planwright_update_objectiveUpdate objective metadata
planwright_schedule_objectiveMove objective from backlog to scheduled

Agent Workflow

ToolDescription
planwright_claim_objectiveClaim a scheduled objective and start an agent run
planwright_append_planPost the agent's decomposition plan
planwright_check_alignmentVerify work aligns with claimed objective (drift detection)
planwright_record_diffRecord diff summary and test results
planwright_submit_test_runSubmit acceptance criteria verification results
planwright_request_acceptanceMove objective to acceptance lane for human review
planwright_append_noteRecord task completion in the agent run log
planwright_flag_clarityFlag objective as having clarity concerns
planwright_override_clarityHuman override for clarity flags

Enrichment & Classification

ToolDescription
planwright_list_unenrichedList objectives/initiatives missing intent summaries
planwright_list_unclassifiedList objectives missing strategic classification
planwright_list_my_bugsList bugs for this project

Support


License

Planwright is a commercial product. The MCP integration examples in this repository are provided under the MIT License.

See LICENSE for details.

Signals

GitHub stars
7
Forks
1
Last commit
Jul 2026
Advanced
Delivery
planwright MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
tools-planwright-planwright
Source
github.com/planwright/planwright
Hosted endpoint
https://mcp.planwright.tools/mcp