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MCP Enabled Plan.IO (Redmine) Reader

MCP Enabled Plan.IO (Redmine) Reader

Local
github.com/karatebossProductivity1Updated 74w ago
Repository

About MCP Enabled Plan.IO (Redmine) Reader

An MCP server for reading and searching Plan.IO (Redmine) issues. It connects issue data to Claude Desktop and other MCP-enabled AI tools.

Key features

  1. 01Read Plan.IO issues
  2. 02Search Plan.IO issues

Use cases

  1. 01Look up issue details
  2. 02Search issues for relevant records

MCP support

Exposes tools for reading and searching Plan.IO issues to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "mcp_planio": {
      "command": "uvx",
      "args": [
        "git+https://github.com/karateboss/mcp_planio@main"
      ],
      "env": {
        "REDMINE_URL": "<REDMINE_URL>",
        "REDMINE_API_KEY": "<REDMINE_API_KEY>"
      }
    }
  }
}
Run commanduvx 'git+https://github.com/karateboss/mcp_planio@main'
Environment variables to set
REDMINE_URL
REDMINE_API_KEYSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypigit+https://github.com/karateboss/mcp_planio@main

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Enabled Plan.IO (Redmine) Reader

Model Context Protocol (MCP) server exposes a set of tools to read and search plan.io issues. This has been tested on Claude Desktop.

Installation

Prerequisites
Windows

  1. Install Claude Desktop (or another MCP-enabled AI tool)

  2. Install Python 3.10 or higher:

    • Download the latest Python installer from python.org
    • Run the installer, checking "Add Python to PATH"
    • Open Command Prompt and verify installation with python --version

  3. Install uv:

    • Open Command Prompt as Administrator
    • Run pip install --user uv
    • Verify installation with uv --version
macOS

  1. Install Claude Desktop (or another MCP-enabled AI tool)

  2. Install Python 3.10 or higher:

    • Using Homebrew: brew install python
    • Verify installation with python3 --version

  3. Install uv:

    • Using Homebrew: brew install uv
    • Alternatively: pip3 install --user uv
    • Verify installation with uv --version

Configuration

Add the following to your claude_desktop_config.json:

{
    "mcpServers": {
        "mcp_planio": {
            "command": "uvx",
            "args": [
                "--from",
                "git+https://github.com/karateboss/mcp_planio@main",
                "mcp_planio"
            ],
            "env": {
                "REDMINE_URL": "https://<your plan.io>",
                "REDMINE_API_KEY": "<your api key>"
	    }
        }
    }
}

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From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.