Kanboard
This MCP server provides AI assistants with comprehensive access to Kanboard project management functionality through JSON-RPC API integration, built using Go with the mcp-go library and supporting authentication via API keys or username/password credentials. The implementation exposes 80+ tools covering complete project lifecycle management including project creation and listing, task management with full CRUD operations, user administration, comment systems, board organization with columns and swimlanes, category management, external link integration, and metadata handling. Built with environment variable configuration for flexible deployment and extensive parameter validation, it serves development teams needing AI-powered project management automation, organizations requiring programmatic access to their Kanboard instances through conversational interfaces, and workflows that benefit from seamless integration between AI assistants and existing project tracking systems.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/bivex/kanboard-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Kanboard 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.