Planwright
MCP serverAI & modelsplanwright 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
Needs your own Planwright account. You sign in to it and approve access when you connect.
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.
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/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=planwright&config=eyJ1cmwiOiJodHRwczovL21jcC5wbGFud3JpZ2h0LnRvb2xzL21jcCJ9Open the link and Cursor adds the server at that address.
ChatGPT
https://mcp.planwright.tools/mcpIn 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.mdfiles for different project types - Example objective structures
- Context file templates
MCP Server
Planwright's MCP server is hosted and managed—no self-hosting required.
| Endpoint | Protocol |
|---|---|
https://mcp.planwright.tools/mcp | Streamable 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
| Tool | Description |
|---|---|
planwright_set_repo | Set active project for the session (by GitHub repo or project ID) |
planwright_list_workspaces | List workspaces you have access to |
planwright_list_projects | List projects with IDs and linked GitHub repos |
planwright_list_context_files | List CLAUDE.md, specs, architecture docs for the project |
planwright_get_context_file | Read a specific context file |
planwright_push_context_file | Upload or update a context file |
planwright_get_doc_suggestions | Get pending documentation gap suggestions |
planwright_dismiss_doc_suggestion | Dismiss a doc suggestion |
planwright_get_board_url | Get the Planwright board URL |
Initiatives
| Tool | Description |
|---|---|
planwright_list_initiatives | List initiatives (milestones) for the workspace |
planwright_create_initiative | Create a new initiative |
planwright_update_initiative | Update initiative metadata |
planwright_delete_initiative | Delete an initiative |
Objectives
| Tool | Description |
|---|---|
planwright_list_objectives | List objectives by lane (backlog, scheduled, in_progress, acceptance, done) |
planwright_get_objective | Get full objective details including agent run history |
planwright_create_objective | Create a new objective with acceptance criteria |
planwright_update_objective | Update objective metadata |
planwright_schedule_objective | Move objective from backlog to scheduled |
Agent Workflow
| Tool | Description |
|---|---|
planwright_claim_objective | Claim a scheduled objective and start an agent run |
planwright_append_plan | Post the agent's decomposition plan |
planwright_check_alignment | Verify work aligns with claimed objective (drift detection) |
planwright_record_diff | Record diff summary and test results |
planwright_submit_test_run | Submit acceptance criteria verification results |
planwright_request_acceptance | Move objective to acceptance lane for human review |
planwright_append_note | Record task completion in the agent run log |
planwright_flag_clarity | Flag objective as having clarity concerns |
planwright_override_clarity | Human override for clarity flags |
Enrichment & Classification
| Tool | Description |
|---|---|
planwright_list_unenriched | List objectives/initiatives missing intent summaries |
planwright_list_unclassified | List objectives missing strategic classification |
planwright_list_my_bugs | List 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
github.com/planwright/planwright
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