Server data from the Official MCP Registry
Objective-native planning board for agent-led development with audit trail.
Objective-native planning board for agent-led development with audit trail.
Remote endpoints: streamable-http: https://mcp.planwright.tools/mcp sse: https://mcp.planwright.tools/sse
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"tools-planwright-planwright": {
"url": "https://mcp.planwright.tools/mcp"
}
}
}From the project's GitHub README.
The planning board coding agents were waiting for.
Planwright is the objective-native planning board for agent-led software development. Humans manage at the Objective layer; coding agents (Claude Code, Cursor, Codex, and others) decompose, execute, and report back via a native MCP server.
claude mcp add planwright https://mcp.planwright.tools/mcp
Your browser opens for GitHub login. That's it.
See the full agent setup guides for Cursor, Codex, Claude Desktop, and generic MCP clients.
┌─────────────────────────────────────────────────────────────────┐
│ │
│ 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 │
│ │
└─────────────────────────────────────────────────────────────────┘
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.
See the examples/ directory for:
CLAUDE.md files for different project typesPlanwright's MCP server is hosted and managed—no self-hosting required.
| Endpoint | Protocol | Use Case |
|---|---|---|
https://mcp.planwright.tools/mcp | Streamable HTTP | Recommended for all agents |
https://mcp.planwright.tools/sse | SSE | Legacy fallback |
Authentication is handled via OAuth 2.1. 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.
Planwright is a commercial product. The MCP integration examples in this repository are provided under the MIT License.
See LICENSE for details.
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.