Wikimedia Enterprise
This MCP implementation, developed by the Wikimedia Foundation, provides a model context protocol for Wikimedia Enterprise. It enables AI assistants to interact with Wikimedia Enterprise data and services through a standardized interface. The implementation leverages Wikimedia's vast knowledge base and content, allowing AI models to access and utilize Wikimedia resources efficiently. Key features likely include querying Wikimedia content, retrieving metadata, and accessing specialized Enterprise APIs. By bridging AI capabilities with Wikimedia's extensive information ecosystem, this implementation is particularly useful for scenarios requiring access to high-quality, curated knowledge across a wide range of topics, supporting use cases in research, content creation, and information verification.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Wikimedia Enterprise 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.