{
  "slug": "io-github-reesehammer-umbra-mcp",
  "name": "io.github.reesehammer/umbra-mcp",
  "title": "Umbra open SAR archive",
  "description": "Search, preview, and measure Umbra open SAR from any MCP client. Umbra ships no search API.",
  "version": "0.1.4",
  "publishedAt": "2026-10-26T21:44:00.174192Z",
  "updatedAt": "2026-10-26T21:44:00.174192Z",
  "repoUrl": "https://github.com/reesehammer/umbra-py",
  "websiteUrl": null,
  "namespace": {
    "type": "github",
    "owner": "reesehammer"
  },
  "kind": "both",
  "packages": [
    {
      "registryType": "pypi",
      "identifier": "umbra-py",
      "version": "0.1.4",
      "transport": "stdio",
      "runtimeHint": "uvx"
    }
  ],
  "remotes": [
    {
      "type": "streamable-http",
      "url": "https://api.umbra-py.space/mcp"
    }
  ],
  "envVars": [
    {
      "name": "UMBRA_CANOPY_TOKEN",
      "isSecret": true,
      "isRequired": false,
      "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",
      "isSecret": false,
      "isRequired": false,
      "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,
      "isRequired": false,
      "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,
      "isRequired": false,
      "description": "Alternative provider for the same two model tools, and the encoder behind find_similar_text."
    }
  ],
  "category": "files-docs",
  "subcategory": "local",
  "company": "",
  "categoryAuto": true,
  "checks": [
    {
      "id": "source-linked",
      "label": "Source repository linked",
      "result": "pass",
      "detail": "https://github.com/reesehammer/umbra-py"
    },
    {
      "id": "version-pinned",
      "label": "Version pinned",
      "result": "pass",
      "detail": "Every package has an explicit version"
    },
    {
      "id": "https-remote",
      "label": "Remote uses HTTPS",
      "result": "pass",
      "detail": "All remote endpoints use https://"
    },
    {
      "id": "secrets-requested",
      "label": "Secrets requested",
      "result": "warn",
      "detail": "Asks for 3 secrets: UMBRA_CANOPY_TOKEN, ANTHROPIC_API_KEY, OPENAI_API_KEY"
    },
    {
      "id": "known-registry",
      "label": "Known package registry",
      "result": "pass",
      "detail": "All packages come from npm, PyPI, OCI, NuGet or MCPB"
    },
    {
      "id": "namespace",
      "label": "Namespace ownership",
      "result": "info",
      "detail": "Name verified via GitHub account reesehammer"
    },
    {
      "id": "meta-text",
      "label": "Registry text aimed at the AI",
      "result": "pass",
      "detail": "Description and settings contain no hidden characters or instructions to the AI"
    },
    {
      "id": "install-scripts",
      "label": "Install scripts",
      "result": "pass",
      "detail": "umbra-py 0.1.4 has no setup.py; nothing runs at install"
    },
    {
      "id": "code-flags",
      "label": "Code red flags",
      "result": "pass",
      "detail": "Read 247 files in umbra-py 0.1.4: no obfuscation, encoded execution, credential reads or data-collection endpoints found"
    },
    {
      "id": "ai-text",
      "label": "Text aimed at the AI",
      "result": "pass",
      "detail": "No hidden characters or instructions to the AI in 247 files, including comments and the README"
    }
  ],
  "scannedAt": "2026-10-29",
  "level": "Scanned",
  "install": [
    {
      "label": "Claude Desktop (pypi)",
      "kind": "claude_desktop_json",
      "text": "{\n  \"mcpServers\": {\n    \"umbra-mcp\": {\n      \"command\": \"uvx\",\n      \"args\": [\n        \"umbra-py==0.1.4\"\n      ]\n    }\n  }\n}"
    },
    {
      "label": "Claude Code (streamable-http)",
      "kind": "claude_code_cli",
      "text": "claude mcp add --transport http umbra-mcp https://api.umbra-py.space/mcp"
    }
  ],
  "curated": true,
  "stars": 2,
  "archived": false,
  "pushedAt": "2026-10-29T04:12:24Z",
  "health": {
    "score": 59,
    "parts": {
      "popularity": 0.2677280856805572,
      "activity": 1,
      "issues": null,
      "security": 0.8
    },
    "fail": 0,
    "warn": 1,
    "raw": {
      "stars": 2,
      "forks": 0,
      "downloads": 177,
      "hn": null,
      "issuesOpen": 1,
      "issuesClosed": 5,
      "prsMerged": 297,
      "commits90": 255,
      "release": "2026-10-26T21:43:00Z",
      "pushed": "2026-10-29T04:12:24Z",
      "growth": null,
      "growthDays": null,
      "archived": false
    },
    "at": "2026-10-31T07:42:38.200Z"
  }
}