Search, quicklook and measure Umbra's open SAR archive from any MCP client.
What it says
The record the registry holds
How you get it
There is no address to call. This one is a package you install and run yourself, wherever your assistant runs.
umbra-py · pypi · 0.1.1
the recordCopied from the official MCP registry, exactly as it holds it.
{
"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
}
}
}
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What this is
MCP server
application/mcp-server-record+jsonlocal · you run it yourselfversion 0.1.1last seen 2026-08-23
These are the publisher's own words, filed by them with the official MCP registry and mirrored here. This catalog did not read them from the publisher and has not run, called or installed anything.