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Productplan MCP Server

@olgasafonova

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

olgasafonova

提交者

Olga Safonova

关于 Productplan MCP Server

暂无概览

#productplan#mcp-server#ai-assistant

Productplan MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Productplan MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is ProductPlan MCP Server?

An MCP server that lets AI assistants (Claude, Cursor, and others) query and manage ProductPlan roadmaps, OKRs, ideas, and launches through natural conversation. It connects directly to the ProductPlan API and runs as a local subprocess, keeping your API token on your machine.

How to use ProductPlan MCP Server?

Download the correct binary for your OS from the releases page, place it in a known path (e.g., /usr/local/bin/productplan on Mac/Linux), then configure your AI assistant’s MCP settings with the binary path and your ProductPlan API token. After setup, you can ask natural language questions like “What’s on our Q1 roadmap?” or “Create a new idea for mobile app improvements.”

Key features of ProductPlan MCP Server

  • Read, create, update, and delete roadmaps, bars, milestones, ideas, objectives, and more
  • Works with Claude Desktop, Claude Code, Cursor, VS Code (Cline, Continue), and n8n
  • Pre-built agent skills for product managers, executives, and customer-facing roles
  • No coding required – configure with a JSON file and paste your API token
  • Local process keeps your token secure; no third-party servers involved
  • Real‑time synchronous communication via stdin/stdout

Use cases of ProductPlan MCP Server

  • Morning standup prep: summarize recent roadmap changes in a week
  • Stakeholder updates: list all Q1 objectives and their progress
  • Idea triage: find ideas tagged “enterprise” that lack a priority
  • Launch coordination: check incomplete tasks for an upcoming launch
  • Quick lookups: ask when a specific bar is scheduled to start

常见问题

1

Which AI assistants are supported?

Claude Desktop, Claude Code (terminal), Cursor, VS Code with the Cline or Continue extensions, and n8n workflow automation.

2

Do I need to write any code?

No – you only need to copy a file, paste an API token, and follow the setup instructions. No programming required.

3

Where is my API token stored?

Your API token is set as an environment variable in your AI assistant’s MCP configuration. It never passes through third‑party servers and stays on your local machine.

4

What ProductPlan data can I access?

Roadmaps (view), bars (full CRUD), bar comments, connections, links, lanes, milestones, ideas, idea customers/tags, opportunities, forms, objectives, key results, and launches (view only). See the data access table in the README for details.

5

What are “agent skills”?

Agent skills are pre‑built workflow guides that train your AI assistant how to use ProductPlan tools effectively for specific personas: general product management, leadership, and customer‑facing roles. They can be copied into your AI assistant’s skills directory.

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