WonGames
WonGames MCP Server provides a GraphQL-based interface for retrieving video game data from a Strapi CMS backend. Built by Saymon Damasio, this implementation uses the Model Context Protocol to enable AI assistants to fetch game information with optional filtering and pagination. The server leverages a generated GraphQL client to communicate with the API endpoint, transforming structured game data into a format suitable for AI consumption. It's particularly useful for applications needing to display curated game collections, pricing information, and game metadata within conversational interfaces.
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
- Repository
- github.com/saymondamasio/wongames-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve WonGames 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.