# Vikunja MCP Server

> Use this tool when you need to integrate AI assistants with Vikunja task management instances, enabling seamless interaction and management of tasks, projects, and teams. It solves problems related to task automation, project coordination, and team collaboration by providing a subcommand-based interface for managing various aspects of Vikunja instances. This tool is ideal for use cases where AI-driven workflow optimization and task management are required, accepting inputs such as subcommands and task data, and outputting managed task and project information.

Canonical page: https://skillsregistry.net/skills/democratize-technology-vikunja-mcp  
JSON: https://api.skillsregistry.net/v1/skills/democratize-technology-vikunja-mcp

## Description

Enables AI assistants to interact with Vikunja task management instances, providing full task, project, label, team, user, and webhook management operations through subcommand-based tools.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xmloh5eif3)
- **Repository:** <https://github.com/democratize-technology/vikunja-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "democratize-technology-vikunja-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/democratize-technology-vikunja-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/democratize-technology-vikunja-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt