{"id":54534,"recorded_at":"2026-10-26T14:37:13.673179Z","observed_at":"2026-10-26T14:37:13.673124Z","subject_kind":"source_record","subject":"mcp_registry:io.github.verygoodplugins/mcp-pirsch","kind":"listing","method":"baseline/1","body":{"endpoints":[["web","https://verygoodplugins.com/?utm_source=mcp-registry"]],"name":"MCP Pirsch","owner_address":null,"raw":{"_meta":{"io.modelcontextprotocol.registry/official":{"isLatest":true,"publishedAt":"2026-08-26T01:03:38.516613Z","status":"active","statusChangedAt":"2026-08-26T01:03:38.516613Z","updatedAt":"2026-08-26T01:03:38.516613Z"}},"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","description":"Pirsch Analytics with natural language queries and trend analysis","name":"io.github.verygoodplugins/mcp-pirsch","packages":[{"identifier":"@verygoodplugins/mcp-pirsch","registryType":"npm","transport":{"type":"stdio"},"version":"0.2.0"}],"repository":{"source":"github","url":"https://github.com/verygoodplugins/mcp-pirsch"},"title":"MCP Pirsch","version":"0.2.0","websiteUrl":"https://verygoodplugins.com/?utm_source=mcp-registry"}},"source":"mcp_registry","summary":"Pirsch Analytics with natural language queries and trend analysis"},"body_sha256":"6cbe347d6d3fa0f785e9333a3f7dfee41d2b4ae1030f4e1a04413b7daad89d75","prev_id":null,"leaf":"0xe7d8052fe517bd7932fec13148b50519c6804240e345c80b37af22622ec18330","leaf_text":"{\"body\":\"6cbe347d6d3fa0f785e9333a3f7dfee41d2b4ae1030f4e1a04413b7daad89d75\",\"id\":54534,\"kind\":\"listing\",\"method\":\"baseline/1\",\"observed_us\":1793025433673124,\"prev\":null,\"subject\":\"mcp_registry:io.github.verygoodplugins/mcp-pirsch\",\"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":["0xe7d79c91c4de1a35326f9fff9f7a6993cf928b41f850d4c781954a62226ded45","0x579a2448b3ba58613f53100bc5fe81d688108d8e939df51de07f1d30c8ad245d","0xb3003395797ab9ebafe168c53bac86c32a76f23149be2955c85e3ee1023330e2","0xdde8ada00cc82d6a6bc036ddbde55bdaacb6cde69bc23781f61ea494d401213c","0x4f33001052b6c7339acd1d9f5366c0ecf774bb83777d35b82dfbd35556c23a85","0x0df95c4faa2ab14270ae076770ab83124b71e01b540a6e6224ce52cbce52d81b","0x3b26033279e20d80215492287f45be12db762d4a0631a6b399630fbc9faa3a2d","0x6aa62f987d7344c4bc8177030b2e14633503e39da78cb40dd860d67d77ba39cf","0xc5b6279776abe90ce03700db144244784753457cc66cded78bb288194a296ae7","0x5da7821808d0b41f2fd896fc8aa021cd9f87f6fb804fcaa5fa71fc51d13292df","0xf9ef09a725d52af13e504e0eafd5a3073b223792ca665fa964297ee3fc3cee9b","0x3d0b5282d5282c30fc9f86662367cab01d0dba65f13d2968391a7d087b79dfb3","0xafcc1fe54cfe00a3a1de33df127340075f22433bb89848bbc81499cd7aca5b2b","0x9bc5fc98278b9f6dc18c66c6e162aefd5244be03170d41bc5161f58ad11beed7","0x95657a7d540ed6cac0bde9995782333b2562a9a6641853269ac95148827410f0","0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678","0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc"]}