{"id":35325,"recorded_at":"2026-10-26T14:36:12.878765Z","observed_at":"2026-10-26T14:36:12.878708Z","subject_kind":"source_record","subject":"mcp_registry:io.github.cq27-dev/rag-rat","kind":"listing","method":"baseline/1","body":{"endpoints":[["web","https://rag-rat.cq27.dev/"]],"name":"rag-rat","owner_address":null,"raw":{"_meta":{"io.modelcontextprotocol.registry/official":{"isLatest":true,"publishedAt":"2026-10-15T17:23:16.207627Z","status":"active","statusChangedAt":"2026-10-15T17:23:16.207627Z","updatedAt":"2026-10-15T17:23:16.207627Z"}},"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","description":"Repository intelligence, code graph, history, papertrail, and cross-agent memory for coding agents.","name":"io.github.cq27-dev/rag-rat","packages":[{"identifier":"@rag-rat/bin","packageArguments":[{"type":"positional","value":"mcp"}],"registryType":"npm","runtimeArguments":[{"type":"positional","value":"-y"}],"runtimeHint":"npx","transport":{"type":"stdio"},"version":"0.24.1"}],"repository":{"source":"github","url":"https://github.com/cq27-dev/rag-rat"},"title":"rag-rat","version":"0.24.1","websiteUrl":"https://rag-rat.cq27.dev/"}},"source":"mcp_registry","summary":"Repository intelligence, code graph, history, papertrail, and cross-agent memory for coding agents."},"body_sha256":"384b5f73ba20a08f750f0d240c350ff3b33310abaec37e7b45a7bdff297199e8","prev_id":null,"leaf":"0xde8b73f1ce6fac9b7eb3421a404d216a467574b9bb872f10a2f63e4f4fcaf007","leaf_text":"{\"body\":\"384b5f73ba20a08f750f0d240c350ff3b33310abaec37e7b45a7bdff297199e8\",\"id\":35325,\"kind\":\"listing\",\"method\":\"baseline/1\",\"observed_us\":1793025372878708,\"prev\":null,\"subject\":\"mcp_registry:io.github.cq27-dev/rag-rat\",\"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":["0xde8a8b5e45daf843691b894f9def588cb267be81175b9b743cb7f0c951441074","0x0c7ef9b4750da18ac05f22e0442952da26fcaf6ffbb75b6befba32d327175521","0x5a12c63233c7bab2770e7c40d2d544bf244e72640c95a72d2f0204ea0067a3fc","0x2b72ac225cbb7e06aedd66eae21cf996d7b0db11a98be57bea96d9f883407c1d","0x5b109a67a3e322ab45ae5248e165e6dc38fb8e16d62afca8095b83a901a7302d","0x21f6b1e20e04d5aa473bcd15ba29d7328956768ea075e70229bae0b4a30f4edc","0x996f0f38c368ce904a27edc58ab861fcb61c26707a2af3f7469263bc454c7ddc","0x757e526adc0b308308ab9fde72bab69aa5b55b11fdc3e464468fba2b00dc679e","0x2bc41f13504c19317647962a7052e2c4cd117e054f8200d40e2cb10c7dcdd838","0x2d9d6462afc5b1463c70c3ad7bab0bbd60dd232ca8386916ee54414b71a3db6e","0x85202061e6a75f8df085f0bff56604cbc8349d53f71525ea3c173296a57488dc","0xd5d3f9a510ef9bc1156a86fc24b9d0c3a67b96d7c1dad1563f35f879e0ac9b4b","0xa4edde833302b48399053e2519aea1aed1074cd102bf4b553643df1866cce4ec","0x0b7541c75cc482a7134110311d7dbd02095d969ba21177de9b21a52a55981718","0x6dc40f983a3840a0ad927a9ca17f4ff1e3b649a6c735e2a09b140db7c2caf13b","0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023","0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40","0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f","0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a"]}