{"id":795519,"recorded_at":"2026-10-28T19:12:25.305791Z","observed_at":"2026-10-28T19:12:25.305740Z","subject_kind":"source_record","subject":"mcp_registry:io.github.cyanheads/open-meteo-mcp-server","kind":"listing","method":"sync.mcp_registry/1","body":{"endpoints":[["mcp","https://open-meteo.caseyjhand.com/mcp"]],"name":"io.github.cyanheads/open-meteo-mcp-server","owner_address":null,"raw":{"_meta":{"io.modelcontextprotocol.registry/official":{"isLatest":true,"publishedAt":"2026-10-28T18:16:02.430378Z","status":"active","statusChangedAt":"2026-10-28T18:16:02.430378Z","updatedAt":"2026-10-28T18:16:02.430378Z"}},"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","description":"Global weather via Open-Meteo: forecast, historical, marine, air quality, geocoding, elevation.","name":"io.github.cyanheads/open-meteo-mcp-server","packages":[{"environmentVariables":[{"default":"info","description":"Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').","format":"string","name":"MCP_LOG_LEVEL"},{"default":"duckdb","description":"Canvas engine for openmeteo_get_forecast / openmeteo_get_historical / openmeteo_get_marine / openmeteo_get_air_quality / openmeteo_get_ensemble / openmeteo_get_flood / openmeteo_get_climate spillover. Default 'duckdb' enables DataCanvas and the dataframe_query / dataframe_describe tools. Set to 'none' to disable — those tools still bound an over-budget response to a preview with truncated: true, but nothing stages the rows they omit.","format":"string","name":"CANVAS_PROVIDER_TYPE"},{"default":"false","description":"Set to 'true' to make openmeteo_dataframe_drop callable — it removes one staged table or view from a DataCanvas. Default 'false' lists the tool as disabled. Has no effect unless CANVAS_PROVIDER_TYPE=duckdb.","format":"boolean","name":"OPENMETEO_DATAFRAME_DROP_ENABLED"}],"identifier":"@cyanheads/open-meteo-mcp-server","registryBaseUrl":"https://registry.npmjs.org","registryType":"npm","runtimeHint":"npx","transport":{"type":"stdio"},"version":"0.5.0"},{"environmentVariables":[{"description":"Selects the HTTP transport.","format":"string","name":"MCP_TRANSPORT_TYPE","value":"http"},{"default":"127.0.0.1","description":"The hostname for the HTTP server.","format":"string","name":"MCP_HTTP_HOST"},{"default":"3010","description":"The port to run the HTTP server on.","format":"string","name":"MCP_HTTP_PORT"},{"default":"/mcp","description":"The endpoint path for the MCP server.","format":"string","name":"MCP_HTTP_ENDPOINT_PATH"},{"default":"none","description":"Authentication mode to use: 'none', 'jwt', or 'oauth'.","format":"string","name":"MCP_AUTH_MODE"},{"default":"info","description":"Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').","format":"string","name":"MCP_LOG_LEVEL"},{"default":"duckdb","description":"Canvas engine for openmeteo_get_forecast / openmeteo_get_historical / openmeteo_get_marine / openmeteo_get_air_quality / openmeteo_get_ensemble / openmeteo_get_flood / openmeteo_get_climate spillover. Default 'duckdb' enables DataCanvas and the dataframe_query / dataframe_describe tools. Set to 'none' to disable — those tools still bound an over-budget response to a preview with truncated: true, but nothing stages the rows they omit.","format":"string","name":"CANVAS_PROVIDER_TYPE"},{"default":"false","description":"Set to 'true' to make openmeteo_dataframe_drop callable — it removes one staged table or view from a DataCanvas. Default 'false' lists the tool as disabled. Has no effect unless CANVAS_PROVIDER_TYPE=duckdb.","format":"boolean","name":"OPENMETEO_DATAFRAME_DROP_ENABLED"}],"identifier":"@cyanheads/open-meteo-mcp-server","registryBaseUrl":"https://registry.npmjs.org","registryType":"npm","runtimeHint":"npx","transport":{"type":"streamable-http","url":"http://localhost:3010/mcp"},"version":"0.5.0"}],"remotes":[{"type":"streamable-http","url":"https://open-meteo.caseyjhand.com/mcp"}],"repository":{"source":"github","url":"https://github.com/cyanheads/open-meteo-mcp-server"},"version":"0.5.0"}},"source":"mcp_registry","summary":"Global weather via Open-Meteo: forecast, historical, marine, air quality, geocoding, elevation."},"body_sha256":"6cfd0726dfb23955da65ca301ba98a304937afabc395ff6b4aa2873251a24b9b","prev_id":35544,"leaf":"0xb515ded48eb6ef9dec1d8b4262c7b7ef381a69b4356b76799b565316cbc210d8","leaf_text":"{\"body\":\"6cfd0726dfb23955da65ca301ba98a304937afabc395ff6b4aa2873251a24b9b\",\"id\":795519,\"kind\":\"listing\",\"method\":\"sync.mcp_registry/1\",\"observed_us\":1793214745305740,\"prev\":35544,\"subject\":\"mcp_registry:io.github.cyanheads/open-meteo-mcp-server\",\"subject_kind\":\"source_record\"}","day":{"day":"2026-10-28","leaves":231336,"root":"0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e","chained":"0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be","anchor_chain":"eip155:5042002","anchor_tx":"0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae","anchor_block":69584042},"proof":["0xb515c9c53abbd1a129ea57a15e05e22bd0dd53e72458061ae4176aa230de7c98","0xab3697ddb82d0c81093c913b56eb0f6c63e3a044cf7fc2f4e52e2972b3d735e5","0x694da47c04e14bc6ba8b6a1c8fcbab576e86072bd66f92f899a6aa31d65853ad","0x96fbd64f36298b6694ccaaa37b035580be7ebb0834bcbf7eee5646244b7a0b8c","0xad498eb84c35f77305109b948724868be7b62a3858a01e36e180a469defadfb4","0x4bdf382bcc3f089dd41376a67bcf818f31d4d81370acbaee0010ebb7859cb74f","0xdf2934ab67461ab28a7a1fcbc05e2f60a081dc49b8eb3e995b9c37415bbf7981","0x6b887797cb1a114424fe88bae4b732a2af8eee0a68cd254f3967c6d76f73ce30","0x3902d8b5c56c38000a67cfaebb1ec95a221bd8c0974f01050f5d4fe66a65d66c","0x863777da66a3503effdb43fefa4e68177462dc9a80d0165786d306aeaf166686","0xb1249a33dd602342763e7daaaae41e60187738f8f79e939d6e42717582e990fb","0x64da769fb79162833498978a0e2340627917887f3343d2d19deba65538379daf","0x2c930436acda0fc12ca6444c398732253201032fcc30928df4b856695845c63b","0xad5ed8dc5ef9ee1ff21d19f603db7fd603ad90ffc13b68cf331a879eabb7b657","0xcd8084fb60eb6be382a8750a344eb425404f5162e8ae3db9a15ef555a7942b85","0x0f8977bd16865247451d1ee836b084081d3d0cd17d6a07353fad0c70393c7403","0xe08e8bd91858a8a10c46ecde9c29a6288b960987303173c5e882afb46ce91fa0","0xe6cfe00ae4e02bc12327e45b5f3334ea5850ba3bcc8e3101d30a8189856a95af"]}