Wiki.js
MCP server implementation that provides AI assistants with comprehensive access to Wiki.js instances through GraphQL API integration, supporting both HTTP and stdio transports with Docker containerization. The implementation features full CRUD operations for wiki pages including search, retrieval by path or ID, creation, updating, deletion, and moving, plus page tree navigation and tag management, all with proper authentication via API keys and fallback mechanisms for GraphQL compatibility issues. Built with Python using FastMCP and httpx with extensive test coverage, it serves teams who need AI-powered wiki content management, documentation workflows, and knowledge base integration with robust error handling and production-ready deployment options through Docker Compose.
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
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/jaalbin24/wikijs-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Wiki.js 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.