Umbra open SAR archive

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-26T21:44:00.174192Z",
      "publishedAt": "2026-10-26T21:44:00.174192Z",
      "statusChangedAt": "2026-10-26T21:44:00.174192Z"
    }
  },
  "server": {
    "name": "io.github.reesehammer/umbra-mcp",
    "_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"
      }
    },
    "title": "Umbra open SAR archive",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://api.umbra-py.space/mcp",
        "type": "streamable-http"
      }
    ],
    "version": "0.1.4",
    "packages": [
      {
        "version": "0.1.4",
        "transport": {
          "type": "stdio"
        },
        "identifier": "umbra-py",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "runtimeArguments": [
          {
            "name": "--from",
            "type": "named",
            "value": "umbra-py[mcp]",
            "description": "The server ships inside the umbra-py distribution and needs its [mcp] extra, so the package uvx installs is not the bare identifier."
          },
          {
            "type": "positional",
            "value": "umbra-mcp",
            "valueHint": "console_script",
            "description": "The console script to run from that distribution ([project.scripts] in pyproject.toml)."
          }
        ],
        "environmentVariables": [
          {
            "name": "UMBRA_CANOPY_TOKEN",
            "isSecret": true,
            "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."
          },
          {
            "name": "UMBRA_INDEX_DB",
            "format": "filepath",
            "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."
          },
          {
            "name": "ANTHROPIC_API_KEY",
            "isSecret": true,
            "description": "Optional. With a key, describe_scene and narrate_change call a vision model on the server. Without one they return a reading kit (picture + SAR primer) so the client's own model does the reading. A public host must not set this."
          },
          {
            "name": "OPENAI_API_KEY",
            "isSecret": true,
            "description": "Alternative provider for the same two model tools, and the encoder behind find_similar_text."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/reesehammer/umbra-py",
      "source": "github"
    },
    "description": "Search, preview, and measure Umbra open SAR from any MCP client. Umbra ships no search API."
  }
}