Vikunja
This MCP server implementation provides integration with Vikunja, a task management and to-do list application. Developed by lowlyocean, it enables AI assistants to interact with Vikunja's API for creating and retrieving tasks. Built using TypeScript and the Model Context Protocol SDK, the server focuses on secure token management through environment variables and supports Docker deployment. It is particularly useful for AI applications that need to automate task creation, manage to-do lists, or integrate task management into their workflows. The implementation leverages Vikunja's API capabilities and provides a streamlined interface for task-related operations.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/lowlyocean/mcp-vikunja
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Vikunja from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.