{"servers":[{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.reesehammer/umbra-mcp","description":"Search, quicklook and measure Umbra's open SAR archive from any MCP client.","title":"Umbra open SAR archive","repository":{"url":"https://github.com/reesehammer/umbra-py","source":"github"},"version":"0.1.0","packages":[{"registryType":"pypi","registryBaseUrl":"https://pypi.org","identifier":"umbra-py","version":"0.1.0","runtimeHint":"uvx","transport":{"type":"stdio"},"runtimeArguments":[{"description":"The server ships inside the umbra-py distribution and needs its [mcp] extra, so the package uvx installs is not the bare identifier.","value":"umbra-py[mcp]","type":"named","name":"--from"},{"description":"The console script to run from that distribution ([project.scripts] in pyproject.toml).","value":"umbra-mcp","type":"positional","valueHint":"console_script"}],"environmentVariables":[{"description":"Canopy API token. Set it and the same search tools query Umbra's authenticated commercial archive instead of the open bucket; leave it unset for the open data, which needs no credentials.","isSecret":true,"name":"UMBRA_CANOPY_TOKEN"},{"description":"Path to a local catalog index (built with 'umbra index build' or fetched with 'umbra index fetch'). Without one the server walks the public bucket per search, which is correct but slow.","format":"filepath","name":"UMBRA_INDEX_DB"},{"description":"Enables the two opt-in model tools, describe_scene and narrate_change. Every other tool is deterministic and calls no model.","isSecret":true,"name":"ANTHROPIC_API_KEY"},{"description":"Alternative provider for the same two model tools, and the encoder behind find_similar_text.","isSecret":true,"name":"OPENAI_API_KEY"}]}],"_meta":{"io.modelcontextprotocol.registry/publisher-provided":{"command":"uvx --from 'umbra-py[mcp]' umbra-mcp","documentation":"https://github.com/reesehammer/umbra-py#drive-it-from-an-ai-agent-mcp"}}},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-08-21T21:49:35.924352Z","publishedAt":"2026-08-21T21:49:35.924352Z","updatedAt":"2026-08-21T21:49:35.924352Z","isLatest":false}}},{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.reesehammer/umbra-mcp","description":"Search, quicklook and measure Umbra's open SAR archive from any MCP client.","title":"Umbra open SAR archive","repository":{"url":"https://github.com/reesehammer/umbra-py","source":"github"},"version":"0.1.1","packages":[{"registryType":"pypi","registryBaseUrl":"https://pypi.org","identifier":"umbra-py","version":"0.1.1","runtimeHint":"uvx","transport":{"type":"stdio"},"runtimeArguments":[{"description":"The server ships inside the umbra-py distribution and needs its [mcp] extra, so the package uvx installs is not the bare identifier.","value":"umbra-py[mcp]","type":"named","name":"--from"},{"description":"The console script to run from that distribution ([project.scripts] in pyproject.toml).","value":"umbra-mcp","type":"positional","valueHint":"console_script"}],"environmentVariables":[{"description":"Canopy API token. Set it and the same search tools query Umbra's authenticated commercial archive instead of the open bucket; leave it unset for the open data, which needs no credentials.","isSecret":true,"name":"UMBRA_CANOPY_TOKEN"},{"description":"Path to a local catalog index (built with 'umbra index build' or fetched with 'umbra index fetch'). Without one the server walks the public bucket per search, which is correct but slow.","format":"filepath","name":"UMBRA_INDEX_DB"},{"description":"Enables the two opt-in model tools, describe_scene and narrate_change. Every other tool is deterministic and calls no model.","isSecret":true,"name":"ANTHROPIC_API_KEY"},{"description":"Alternative provider for the same two model tools, and the encoder behind find_similar_text.","isSecret":true,"name":"OPENAI_API_KEY"}]}],"_meta":{"io.modelcontextprotocol.registry/publisher-provided":{"command":"uvx --from 'umbra-py[mcp]' umbra-mcp","documentation":"https://github.com/reesehammer/umbra-py#drive-it-from-an-ai-agent-mcp"}}},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-08-21T22:11:22.229971Z","publishedAt":"2026-08-21T22:11:22.229971Z","updatedAt":"2026-08-21T22:11:22.229971Z","isLatest":true}}}],"metadata":{"count":2}}