{"id":558079,"recorded_at":"2026-10-27T21:02:16.932661Z","observed_at":"2026-10-27T21:02:16.932590Z","subject_kind":"source_record","subject":"mcp_registry:io.github.koda-ai-studio/grc-lake","kind":"listing","method":"sync.mcp_registry/1","body":{"endpoints":[["web","https://koda-ai-studio.github.io/grc-lake/"]],"name":"GRC Lake","owner_address":null,"raw":{"_meta":{"io.modelcontextprotocol.registry/official":{"isLatest":true,"publishedAt":"2026-10-27T20:38:39.069196Z","status":"active","statusChangedAt":"2026-10-27T20:38:39.069196Z","updatedAt":"2026-10-27T20:38:39.069196Z"}},"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","description":"Read-only connectors; local writes. Evidence and assessments for agents. Only people approve.","name":"io.github.koda-ai-studio/grc-lake","packages":[{"environmentVariables":[{"description":"Path to a local lake directory (default ./lake)","name":"GRC_LAKE_LAKE"},{"description":"local, remote or auto (default); use remote on shared machines","name":"GRC_LAKE_MCP_MODE"},{"description":"GRC Lake API URL for remote mode","name":"GRC_LAKE_API_URL"},{"description":"API key for remote mode","isSecret":true,"name":"GRC_LAKE_API_KEY"}],"identifier":"grc-lake","packageArguments":[{"type":"positional","value":"mcp"}],"registryType":"pypi","runtimeArguments":[{"name":"--from","type":"named","value":"grc-lake[mcp]==0.3.18"}],"runtimeHint":"uvx","transport":{"type":"stdio"},"version":"0.3.18"}],"repository":{"source":"github","url":"https://github.com/koda-ai-studio/grc-lake"},"title":"GRC Lake","version":"0.3.18","websiteUrl":"https://koda-ai-studio.github.io/grc-lake/"}},"source":"mcp_registry","summary":"Read-only connectors; local writes. Evidence and assessments for agents. Only people approve."},"body_sha256":"d5507ec18807609a7755c918d744fbaeff06aaa11b1d01423cfa6a19236677d9","prev_id":403468,"leaf":"0x7e8a315efc200727b4e6bd186011ff362aa84e608781d54b77affaa06aac3ab3","leaf_text":"{\"body\":\"d5507ec18807609a7755c918d744fbaeff06aaa11b1d01423cfa6a19236677d9\",\"id\":558079,\"kind\":\"listing\",\"method\":\"sync.mcp_registry/1\",\"observed_us\":1793134936932590,\"prev\":403468,\"subject\":\"mcp_registry:io.github.koda-ai-studio/grc-lake\",\"subject_kind\":\"source_record\"}","day":{"day":"2026-10-27","leaves":273461,"root":"0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795","chained":"0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4","anchor_chain":"eip155:5042002","anchor_tx":"0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4","anchor_block":69414147},"proof":["0x7e8a646f28611042d31129a6758d04e62f548454a4b47caf9c002e9d17758edb","0xa962b4c451afc140eea0d1034d8c08c40fc5e2d9377f12559c43403174851444","0x9845afa78fcff431c2edba9c2ffd63cfe5abd651523ae1aaea29b921cd7a55e1","0x492528e5e948ed5aa63ede9d7a4e7310f58eca67517a05a68ef09dd74a4843e3","0x1d32042f64e97ba61edde3c975a69763929adc6b54ac656da8418253620c745f","0x03840ae732ac0577b04d72fdee00d82311774e2ee8e0e4cd5c3603a4d88250cc","0x8f207a5247c7e559c0fc9d2149ba5bb66e076bbc30eefb8f603a16ee873d174a","0xca971828007c1bf37bdc62f363443fc7873d84b0a015d914839a2ec8ad8cf0d8","0xdcdeea41992a75314af83aa17f7ebaa8d458b947fafa459fba04c34fbddce238","0x63d53c86dcace63fcec156d87cf21e38de1aeee0b27dd0c2dcbfbf4a3dd56883","0x868e095a0e024f898de0327309385070aef4560771a159bdc58d9e1c53b28672","0x4b98c7145f5ead65ac9430579969acab10bc70758d3533f5a4fd4dbb462a2b61","0xbc7cf10ae301dcdbc5db5be8c29e1b3618ffaf1c196a74cb6a9e6c4fae0bbeed","0xfa0c8e8f1a1710ff197533b0a28208f2e168afe71abb7bb3416e09d1ac371d60","0x3c500ec3d3edf0c74b87a6ca8fcd77656bfbe03db3d478bd0c184d0c88839c6b","0xfecf3d4646dd4984a13dd715499e842c3fde63692336d97394c2bfd8e877ca5d","0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66","0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197","0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699"]}