Productplan MCP Server
P

Productplan MCP Server

The ProductPlan MCP Server allows AI assistants to query and operate on ProductPlan roadmap data in natural language, including functions such as viewing roadmaps, managing OKRs, handling creative ideas, and coordinating releases.
2 points
3.8K

What is the ProductPlan MCP Server?

This is a bridge that connects AI assistants with the ProductPlan software. It allows you to query and operate on your product roadmap data in natural language, just like having a conversation with a colleague. For example, you can ask 'What's on our Q1 roadmap?' or 'Create a new idea about mobile app improvement', and the AI will obtain real - time data through this server and provide an answer.

How to use the ProductPlan MCP Server?

The usage process is very simple: 1) Obtain your ProductPlan API key; 2) Download the server program for your operating system; 3) Add a few lines of settings to the configuration file of the AI assistant you are using (Claude Desktop, Cursor, VS Code, etc.); 4) Restart the AI assistant, and you can start the conversation. No coding is required throughout the process.

Use cases

This tool is particularly suitable for product managers, team leaders, and anyone who needs to frequently view or update the product roadmap. It allows you to quickly obtain product planning information without leaving your current work environment when writing documents, attending meetings, or having brainstorming sessions.

Main features

Roadmap viewing and management
View all roadmaps, their entries (Bars), milestones, swimlanes, and annotations. You can create, edit, or delete roadmap entries.
OKR progress tracking
View and manage objectives and key results (OKRs). You can check the progress of objectives, create new objectives, or update the status of existing objectives.
Idea (Discovery) management
Browse, create, and edit entries in the product idea library. You can view customer feedback, tags, and opportunities to assist in requirement discovery and prioritization.
Release coordination
Manage product release plans, including release tasks, sections, and status tracking. Ensure that all aspects of the release process are clearly visible.
Multi - platform support
Supports various AI assistants and workflow platforms such as Claude Desktop, Cursor, VS Code (through Cline or Continue extensions), and n8n.
Command - line interface
In addition to using it through an AI assistant, a direct command - line tool is also provided to facilitate quick queries of ProductPlan data in the terminal.
AI assistant skill package
Provides pre - configured workflow guides for different roles (product managers, executives, customer teams) to make the AI assistant use ProductPlan features more intelligently.
Advantages
Save time: No need to manually log in and click on the ProductPlan interface. Obtain information quickly through conversation.
Natural interaction: Ask questions in the natural language you are used to, rather than learning complex query syntax.
Data security: The API key is only stored locally and does not pass through third - party servers.
Offline capability: Some data can be cached, allowing access to recent information even when the network is unstable.
Seamless integration: Deeply integrated with the AI assistants you use daily, no need to switch tools.
Limitations
Requires local installation: The server program must be installed on each computer to be used.
Depends on AI assistants: It needs to be used in conjunction with supported AI assistants and cannot run independently.
Permission restrictions: Can only access the permissions and data you already have in ProductPlan.
Configuration steps: Initial setup requires some technical operations (downloading files, editing configuration files).
Network requirements: Real - time data acquisition requires a stable network connection to access the ProductPlan API.

How to use

Obtain the API key
Log in to ProductPlan, go to Settings → API page, and copy your API token.
Download the server program
Download the corresponding executable file from the GitHub Releases page according to your operating system.
Installation and configuration
Move the file to a suitable location and set the execution permission (Mac/Linux), or note the file path (Windows).
Configure the AI assistant
Edit the corresponding configuration file according to the AI assistant you are using and add the MCP server settings.
Restart and start using
Completely exit and restart your AI assistant, and then you can start asking about ProductPlan data in natural language.

Usage examples

Morning meeting preparation
Quickly understand roadmap changes and task status before the daily stand - up meeting
Stakeholder reporting
Prepare product progress reports for management or customers
Idea screening and prioritization
Identify high - value requirements from a large amount of user feedback
Release coordination
Track various tasks and dependencies of complex releases

Frequently Asked Questions

Why do I need to install this program locally? Can't I access it directly in the cloud?
What should I do if the path always has errors when configuring on the Windows system?
The AI assistant prompts an error of 'Command not found' or'spawn ENOENT'
The AI assistant does not recognize the ProductPlan tool after modifying the configuration
What ProductPlan data can I access?
Is this tool safe? Will my API key be leaked?
Which AI assistants are supported?
Can I still use this tool without an AI assistant?

Related resources

GitHub project repository
Source code, issue tracking, and the latest release versions
ProductPlan official website
The official website of the ProductPlan product roadmap software
Model Context Protocol (MCP)
The official documentation and specifications of the MCP protocol
Change log
View version update history and new features
Other MCP server projects
Other MCP servers developed by the author, including integrations with GLEIF, MediaWiki, Miro, etc.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "productplan": {
      "command": "/usr/local/bin/productplan",
      "env": {
        "PRODUCTPLAN_API_TOKEN": "your-token"
      }
    }
  }
}

{
  "mcpServers": {
    "productplan": {
      "command": "C:\\Tools\\productplan.exe",
      "env": {
        "PRODUCTPLAN_API_TOKEN": "your-token"
      }
    }
  }
}

{
  "cline.mcpServers": {
    "productplan": {
      "command": "/usr/local/bin/productplan",
      "env": {
        "PRODUCTPLAN_API_TOKEN": "your-token"
      }
    }
  }
}

{
  "cline.mcpServers": {
    "productplan": {
      "command": "C:\\Tools\\productplan.exe",
      "env": {
        "PRODUCTPLAN_API_TOKEN": "your-token"
      }
    }
  }
}

{
  "mcpServers": [
    {
      "name": "productplan",
      "command": "/usr/local/bin/productplan",
      "env": {
        "PRODUCTPLAN_API_TOKEN": "your-token"
      }
    }
  ]
}

{
  "mcpServers": [
    {
      "name": "productplan",
      "command": "C:\\Tools\\productplan.exe",
      "env": {
        "PRODUCTPLAN_API_TOKEN": "your-token"
      }
    }
  ]
}
Note: Your key is sensitive information, do not share it with anyone.

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