No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by abhiz123 · MCP Server · ★ 393
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is todoist-mcp-server safe to install? View the security audit →
Todoist MCP Server An MCP (Model Context Protocol) server implementation that integrates Claude with Todoist, enabling natural language task management. This server allows Claude to interact with your Todoist tasks using everyday language. Features Natural Language Task Management: Create, update, complete, and delete tasks using everyday language Smart Task Search: Find tasks using partial name matches Flexible Filtering: Filter tasks by due date, priority, and other attributes Rich Task Details: Support for descriptions, due dates, and priority levels Intuitive Error Handling: Clear feedback for better user experience Installation Installing via Smithery To install Todoist MCP Server for Claude Desktop automatically via Smithery: Manual Installation Tools todoistcreatetask Create new tasks with various attributes: Required: content (task title) Optional: description, due date, priority level (1-4) Exampl
| Stars | 393 |
| Forks | 71 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.4597510572089/100 |
| Open Issues | 17 |
| Last Updated | 2025-04-20 |
| Created | 2024-12-03 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~1k |
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todoist-mcp-server is MCP server for Todoist integration enabling natural language task management with Claude. It is categorized as a MCP Server with 393 GitHub stars.
todoist-mcp-server is primarily written in JavaScript.
You can find installation instructions and usage details in the todoist-mcp-server GitHub repository at github.com/abhiz123/todoist-mcp-server. The project has 393 stars and 71 forks, indicating an active community.
todoist-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
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.
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