vikunja-mcp — security grade SAFE, quality 78/100

Security audit verdict: SAFE · quality 78/100

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 democratize-technology · MCP Server · ★ 98

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is vikunja-mcp safe to install? View the security audit →

About vikunja-mcp

Vikunja MCP Server A Model Context Protocol (MCP) server that enables AI assistants to interact with Vikunja task management instances. Features Subcommand-based tools for intuitive AI interactions Session-based authentication with automatic token management Full task management operations implemented Complete project management with CRUD operations Label management for organizing tasks Team operations for collaboration (get/update/members limited by API) User management with settings and search Webhook management for project automation Batch import tasks from CSV or JSON files Input validation for dates, IDs, and hex colors Efficient diff-based updates for assignees TypeScript with strict mode for type safety Comprehensive error handling with typed errors and centralized utilities Production-ready retry logic with opossum circuit breaker for resilience Enhanced security with Zod-based input validation and DoS protection Rate limiting protection against DoS attacks with configurable limits Memory protection with pagination limits and usage monitoring Simplified architecture with 90% code reduction for maintainability 🚀 Major Architectural Improvements (v0.2.0) This release...

ai-toolsmcpmodel-context-protocolproductivitytask-managementtypescriptvikunja

Quick Facts

Stars98
Forks59
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score77.6931197035656/100
Open Issues57
Last Updated2026-02-15
Created2025-05-26
Platformsmcp, node
Est. Tokens~63k

Compatible Skills

These tools work well together with vikunja-mcp for enhanced workflows:

  • Claude-Code-Kanban-Automator — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • Chorus — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)

vikunja-mcp alternative? Top 6 similar tools

Looking for a vikunja-mcp alternative? If you're comparing vikunja-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • claude-historian-mcp by Vvkmnn · ⭐ 178

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Frequently Asked Questions

What is vikunja-mcp?

vikunja-mcp is Model Context Protocol server for Vikunja task management. Enables AI assistants to interact with Vikunja instances via MCP.. It is categorized as a MCP Server with 98 GitHub stars.

What programming language is vikunja-mcp written in?

vikunja-mcp is primarily written in TypeScript. It covers topics such as ai-tools, mcp, model-context-protocol.

How do I install or use vikunja-mcp?

You can find installation instructions and usage details in the vikunja-mcp GitHub repository at github.com/democratize-technology/vikunja-mcp. The project has 98 stars and 59 forks, indicating an active community.

What license does vikunja-mcp use?

vikunja-mcp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to vikunja-mcp?

The top alternatives to vikunja-mcp on Agent Skills Hub include langchainjs-mcp-adapters, mcp-n8n-workflow-builder, task-orchestrator. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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