{"servers":[{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.FoundryNet/foundrynet-inference","description":"x402 LLM proxy + data-enriched analysis (17 sources) + TimesFM predictive IoT intelligence.","repository":{"url":"https://github.com/FoundryNet/foundrynet-inference","source":"github"},"version":"1.0.0","remotes":[{"type":"streamable-http","url":"https://foundrynet-inference-production.up.railway.app/mcp"}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-06-22T20:38:37.950594Z","publishedAt":"2026-06-22T20:38:37.950594Z","updatedAt":"2026-06-22T20:38:37.950594Z","isLatest":false}}},{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.FoundryNet/foundrynet-inference","description":"x402 LLM proxy + data-enriched analysis (17 sources) + TimesFM predictive IoT intelligence.","repository":{"url":"https://github.com/FoundryNet/foundrynet-inference","source":"github"},"version":"1.0.1","remotes":[{"type":"streamable-http","url":"https://foundrynet-inference-production.up.railway.app/mcp"}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-06-22T21:02:16.902181Z","publishedAt":"2026-06-22T21:02:16.902181Z","updatedAt":"2026-06-22T21:02:16.902181Z","isLatest":true}}}],"metadata":{"count":2}}
