{"id":2073366,"recorded_at":"2026-11-02T06:18:19.115544Z","observed_at":"2026-11-02T06:18:19.115489Z","subject_kind":"source_record","subject":"mcp_registry:org.ai-agent-engineering/articles","kind":"listing","method":"sync.mcp_registry/1","body":{"endpoints":[["mcp","https://ai-agent-engineering.org/api/mcp/sse"],["web","https://ai-agent-engineering.org/developers"]],"name":"AI Agent Engineering","owner_address":null,"raw":{"_meta":{"io.modelcontextprotocol.registry/official":{"isLatest":true,"publishedAt":"2026-11-02T06:07:05.481881Z","status":"active","statusChangedAt":"2026-11-02T06:07:05.481881Z","updatedAt":"2026-11-02T06:07:05.481881Z"}},"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","description":"Search and read AI Agent Engineering articles on building, securing and running AI agents.","name":"org.ai-agent-engineering/articles","remotes":[{"type":"sse","url":"https://ai-agent-engineering.org/api/mcp/sse"}],"title":"AI Agent Engineering","version":"1.0.0","websiteUrl":"https://ai-agent-engineering.org/developers"}},"source":"mcp_registry","summary":"Search and read AI Agent Engineering articles on building, securing and running AI agents."},"body_sha256":"31d3452ccf63df85ea1b88e19ae0c8108399e8fa89c2ac14a0e8b1b99fda561d","prev_id":null,"leaf":"0x4172dcca54f870f8ffb1f84c5ea91d9ea17487ee5593885879c3bef444b1963e","leaf_text":"{\"body\":\"31d3452ccf63df85ea1b88e19ae0c8108399e8fa89c2ac14a0e8b1b99fda561d\",\"id\":2073366,\"kind\":\"listing\",\"method\":\"sync.mcp_registry/1\",\"observed_us\":1793600299115489,\"prev\":null,\"subject\":\"mcp_registry:org.ai-agent-engineering/articles\",\"subject_kind\":\"source_record\"}","day":{"day":"2026-11-02","leaves":444186,"root":"0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1","chained":"0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2","anchor_chain":"eip155:5042002","anchor_tx":"0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af","anchor_block":70432815},"proof":["0x4172bc2d5e065a44603c635622e2bad77d44e584756d335c2a8caf8da07ca0db","0x24aea48b295b03c04db40f88d636ddcd8b482584c315dcb2f374d142e276d2b3","0x31cc79fe27dd09f5f690e1fa8d656a1a962f81468ed0869ea8e50a9a9286e4bb","0x3a8e2a632146327a047d894e60915d249722ce2a72b4e4a7be4c74cc20f167a3","0xbcee9f6c5ca8c07551318b296df3e4ac94b2a8d7d271cda5ab9f36e2016cdf66","0x6bcad71c319ff30f32f5197ee52f40f19d6e177035174bc695a698d1c3f17afc","0xb34f05815d6628fdd1e928fdf484aabbd8cbbe3ed8d1b36084ccec372b9a698e","0x44e5f7a60b23553c3109cdb1e5273410776a550c04eedc7e18ecbbc8119a932c","0x40151d6bf569232ba90cb6a4cd76d0d2a52d75290888bebfc3e7190c2b11519c","0xf7853690f3e78a6bb0348e2608ca89e3508feb10884cbe225ba072554228ff6e","0xe4152a5dfabfd48e92f8d5047c526409b765d946b445dc60e25bc5904c46539f","0xd10237e81588c4b94b9258d4cf623f18b0507e9f91efeefa9fb9c83f92df12b9","0x1a30e008133011de2f6376e0b8ac235c7b5fd254513a57eac575300e54ac3544","0x2205fefa1140121f3fe567e386a9612e8f7236f2a6b4c18d07e5fc4d08bd90e5","0x8448bd1fe3c2d48b62a118ace4a5cb82fee53586dd43d776c2526ad844398919","0x8760c227928c5295506cd8606e763f86cf8cd2a549820fab4dc86d29ca0d816d","0xa20b9be86af7d690e040c9060a373b2fc5498edf3432f43c26f74fa2febc1e9a","0x050f2978b537f7afb21ee1551577cdf146d1c56f4df12d24315ae5e69366b0a4","0x365b161a4b68d750dcc4b3ecce1154a2163c87b08762079428e68f0ebb6a754e"]}