Flagged: disables SSL verification. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by jztan · MCP Server · ★ 79
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Redmine MCP Server A Model Context Protocol (MCP) server that integrates with Redmine project management systems. This server provides seamless access to Redmine data through MCP tools, enabling AI assistants to interact with your Redmine instance. mcp-name: io.github.jztan/redmine-mcp-server Tool reference Troubleshooting Features 45 MCP Tools (plus 1 operator tool gated by ): Issues, projects, time tracking, wiki,
| Stars | 79 |
| Forks | 34 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.9315886191852/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-22 |
| Created | 2025-05-25 |
| Platforms | claude-code, codex, mcp, python, vscode |
| Est. Tokens | ~21k |
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redmine-mcp-server is MCP server connecting AI assistants to Redmine: issues, projects, wikis, time tracking, agile boards, and CRM, with OAuth2 multi-user support. It is categorized as a MCP Server with 79 GitHub stars.
redmine-mcp-server is primarily written in Python. It covers topics such as agent, agentic-ai, agentic-workflow.
You can find installation instructions and usage details in the redmine-mcp-server GitHub repository at github.com/jztan/redmine-mcp-server. The project has 79 stars and 34 forks, indicating an active community.
redmine-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to redmine-mcp-server on Agent Skills Hub include postman-mcp-server, roadmap-skill, mcp-server-code-execution-mode. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: