{"servers":[{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.invertedhoologan/eval-engine-mcp","description":"Pay-per-call AI evaluation MCP server. Score LLM outputs against benchmark rubrics via Workers AI.","title":"Eval Engine API","version":"0.1.0","websiteUrl":"https://eval.zuluworksai.com","remotes":[{"type":"streamable-http","url":"https://eval.zuluworksai.com/mcp"}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-07-17T15:30:59.90585Z","publishedAt":"2026-07-17T15:30:59.90585Z","updatedAt":"2026-07-17T15:30:59.90585Z","isLatest":true}}},{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.invertedhoologan/sovereign-engine","description":"15 paid AI agent primitives via x402 (USDC on Base). Pay-per-call MCP server.","repository":{"url":"https://github.com/invertedhoologan/sovereign-engine","source":"github"},"version":"0.4.0","remotes":[{"type":"streamable-http","url":"https://api.zuluworksai.com/mcp"}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-06-25T15:05:54.016074Z","publishedAt":"2026-06-25T15:05:54.016074Z","updatedAt":"2026-06-25T15:05:54.016074Z","isLatest":true}}}],"metadata":{"count":2}}
