Your AI shouldn't just read tickets.
It should work them.

redmine-mcp-server gives AI agents 49 tools to triage, update, comment on, and close Redmine issues — the way a project manager would.

pip install redmine-mcp-server
Scripted walkthrough — no real Redmine is connected.
An AI agent on a live Redmine
it sees the same Issues page you do — and edits it with MCP tool calls
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✻ Welcome to Claude Coderedmine-mcp-server connected over MCP · 49 tools available
▸ press Run the agent to start
▏
? for shortcuts● redmine-mcp-server (MCP)
0tool calls
0issues touched
0comments added
0issues closed
This is a scripted walkthrough against canned data. The JSON in each tool call matches the real server's response shape field-for-field — including the <insecure-content> boundary tags that wrap untrusted user text. Nothing here connects to a live Redmine.
New in v2.6.0

The board, live in your chat.

The demo above simulates the loop. show_triage_board is the real thing: an interactive Kanban board rendered inside the conversation through the official MCP Apps extension. Drag a card to another column and the agent writes the status change to Redmine via update_redmine_issue; if Redmine rejects the transition, the card snaps back and explains why.

Interactive Kanban board rendered in the chat by show_triage_board, with issue cards grouped in open, in-progress, and closed columns

Needs an MCP client that renders MCP Apps. Shipped in v2.6.0; tried it? Leave feedback in the discussion.

Far more than triage.

The demo shows one workflow. The same 49 tools cover the rest of Redmine.

Search all of Redmine at once

One search_entire_redmine call spans issues, wiki pages, projects, and news.

Write the wiki, not just read it

Create, update, and version wiki pages with manage_redmine_wiki_page.

Log and import time

Record time entries or bulk-import a week of them with manage_time_entry.

Speaks the plugin ecosystem

RedmineUP Agile, contacts (CRM), products, and checklists, plus DMSF documents and AlphaNodes issue tags, as first-class tools.

Multi-tenant per-user auth

OAuth2, OAuthProxy, or per-user API keys on older Redmine: the agent acts as each user, not one shared key.

Read-only safety mode

Flip REDMINE_MCP_READ_ONLY=true to block every write while you evaluate.

Wire it into your agent.

One command. Claude Desktop, Claude Code, Cursor, VS Code, Codex.

pip install redmine-mcp-server

The demo shows 4 of the server's 49 tools. The full set spans list_redmine_issues, get_redmine_issue, update_redmine_issue, show_triage_board, manage_time_entry, manage_redmine_wiki_page, manage_project_member, search_entire_redmine, and more — covering issues, projects, wikis, time tracking, versions, and CRM, plus multi-tenant per-user auth (OAuth2, OAuthProxy, or per-user API keys) and a read-only safety mode.

GitHub PyPI Docs Blog
About redmine-mcp-server

redmine-mcp-server: Redmine project management for AI agents

redmine-mcp-server is an open-source MCP (Model Context Protocol) server that lets AI agents read and manage a Redmine instance: issues, projects, wikis, time tracking, versions, and contacts. It ships as a Python package and connects to Claude Desktop, Claude Code, Cursor, VS Code Copilot, Codex CLI, and any MCP-compatible client.

What it does

Redmine has a capable REST API, but wiring an agent to it directly means handing the model raw HTTP access — which is slow, error-prone, and unsafe. redmine-mcp-server exposes 49 purpose-built tools instead. An agent can list and filter issues, read a ticket with its full history, update status and assignee, add notes, log time, manage wiki pages, and run global search — each as a single typed tool call with predictable, serialized JSON. Since v2.6.0 it can also render an interactive Kanban board directly in the chat through the MCP Apps extension: show_triage_board draws a project's issues as drag-and-drop status columns, and every card move writes back to Redmine.

What the demo shows

The browser demo is a scripted simulation of a triage workflow against canned data. The JSON returned by each tool matches the real server's response shape field-for-field, including the <insecure-content> boundary tags that wrap user-controlled text (descriptions, notes, comments) so an LLM treats them as untrusted data rather than instructions. Nothing connects to a live Redmine; the point is to show the agent's tool loop, not to be a hosted service.

Install

redmine-mcp-server is MIT-licensed and published on PyPI. Install with pip install redmine-mcp-server, then point it at your Redmine URL with an API key, OAuth2, or per-user auth. The source is on GitHub and the package on PyPI. For the story behind it, see the blog post on linking a legacy system to a modern AI agent.

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