WikiJS
WikiJS MCP server by Ricardo Cenci Fabris that provides AI assistants with direct access to WikiJS knowledge bases through GraphQL integration, enabling search, retrieval, and content discovery operations. The implementation offers four core tools: search pages by query string with optional path and locale filtering, retrieve specific pages by ID or path/locale combination, and get all pages from the wiki instance, with all operations returning structured page data including content, metadata, tags, and timestamps. Built using TypeScript with GraphQL code generation for type safety and Docker Compose setup for local WikiJS testing, the server requires WikiJS API key authentication and serves teams needing conversational access to internal documentation, knowledge management workflows, and AI-powered content discovery across multilingual wiki deployments.
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/ricardocenci/wikijs-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve WikiJS 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.