{"id":29833,"recorded_at":"2026-10-26T14:36:01.766062Z","observed_at":"2026-10-26T14:36:01.766011Z","subject_kind":"source_record","subject":"mcp_registry:io.github.MukundaKatta/agentsnap","kind":"listing","method":"baseline/1","body":{"endpoints":[["web","https://github.com/MukundaKatta/agentsnap-mcp"]],"name":"io.github.MukundaKatta/agentsnap","owner_address":null,"raw":{"_meta":{"io.modelcontextprotocol.registry/official":{"isLatest":true,"publishedAt":"2026-04-27T04:12:27.468466Z","status":"active","statusChangedAt":"2026-04-27T04:12:27.468466Z","updatedAt":"2026-04-27T04:12:27.468466Z"}},"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","description":"Snapshot tests for AI tool-call traces: diff, validate, and catch silent regressions.","name":"io.github.MukundaKatta/agentsnap","packages":[{"identifier":"@mukundakatta/agentsnap-mcp","registryType":"npm","transport":{"type":"stdio"},"version":"0.1.0"}],"repository":{"source":"github","url":"https://github.com/MukundaKatta/agentsnap-mcp"},"version":"0.1.0","websiteUrl":"https://github.com/MukundaKatta/agentsnap-mcp"}},"source":"mcp_registry","summary":"Snapshot tests for AI tool-call traces: diff, validate, and catch silent regressions."},"body_sha256":"8808491a576801021c641caf3bc2af9d39f41ecd3402c59d8ebc8f3d4953d168","prev_id":null,"leaf":"0x388fe1d81c374f885f94f71af323fafc3838f159a143210c6b4ba8bea28b0433","leaf_text":"{\"body\":\"8808491a576801021c641caf3bc2af9d39f41ecd3402c59d8ebc8f3d4953d168\",\"id\":29833,\"kind\":\"listing\",\"method\":\"baseline/1\",\"observed_us\":1793025361766011,\"prev\":null,\"subject\":\"mcp_registry:io.github.MukundaKatta/agentsnap\",\"subject_kind\":\"source_record\"}","day":{"day":"2026-10-26","leaves":296695,"root":"0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8","chained":"0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a","anchor_chain":"eip155:5042002","anchor_tx":"0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae","anchor_block":69251483},"proof":["0x388e9ad9dbe7330203f102119b57d7146f867ec399391b7d0a8908e8fcafd55d","0x50fe87b843073561e48b6b6b7309af4d21e364f1abea0bc9a536f2aa08db28fe","0x9336a13a97043f95929d9adda67dbc8c0994c13e5a3dd30407be441fd6cdbeec","0xdea65e7352f33993e6f9febb6c1506bef2d05e8c7d81cdfab175ba71b7829df6","0xfbdf5494ddbab579aabed9a216c4d2d933bcaf20232197e7fcba33a1949c0e0b","0x642a523936cec8d1ee2faadd65d3199c84c518d9669356517b2959b59543708c","0x0ea1a8df359433c28271e88e62bf36bee1f7f4c7f08d0ecf543334b394cb24fd","0x1a5f5a460c710c745f4cd6da8733f1bcb0187e608b974cd2a945e5c0326fd336","0x029562c7b804ed7280b173b2f9d7a748ca81adef00a5905f4ef93dda4a2fb329","0x031f2a2dc62cc9f38303573e8a039474f21314f51a163809ee7f24e068275a95","0xac34ddbc48fae726d62603aa0121ea4aa01a5fe05b84c5335b25521c1e72ed07","0x8b23d34f6cd746f123b1e4d09449280800a81e00febe1fd9224b6802057238d5","0xdfc7a920beab71e6882e75c57bf136a5354c4ea989a35108a69046bc62059090","0x4338355a835617a26aa0bfcc971e84eb030d84e2aa840e3c8af958921dd080c7","0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213","0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca","0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13","0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d","0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a"]}