geolens-mcp

Apache-2.0 read-only Model Context Protocol server for GeoLens.

Point a coding agent (Claude Code, Cursor, Codex, …) at a GeoLens instance so it can discover datasets, inspect schemas, and read features and maps from inside a dev session.

Read-only by design. Every tool is a GET against an existing API endpoint — no writes, ingest, or admin. Calls are scoped to the caller's access: with an API key, the agent sees the datasets that key's user can see; with no credential it sees only public/published data.

Install

pip install geolens-mcp        # or: uvx geolens-mcp

Configure

The server reads its target instance and credentials from the environment (same names as the geolens CLI):

Variable	Required	Meaning
`GEOLENS_INSTANCE`	yes	Instance URL, e.g. `https://geolens.example.com`. The `/api` suffix is appended automatically if you omit it.
`GEOLENS_API_KEY`	recommended	API key, sent as `X-Api-Key`. Create one in Settings → API keys. Omit for public-only access.
`GEOLENS_TOKEN`	—	JWT bearer token, used only if `GEOLENS_API_KEY` is unset.

Register with an MCP client

Claude Code:

claude mcp add geolens -e GEOLENS_INSTANCE=https://geolens.example.com -e GEOLENS_API_KEY=... -- uvx geolens-mcp

Cursor / Codex / any client that reads an mcpServers block:

{
  "mcpServers": {
    "geolens": {
      "command": "uvx",
      "args": ["geolens-mcp"],
      "env": {
        "GEOLENS_INSTANCE": "https://geolens.example.com",
        "GEOLENS_API_KEY": "your-api-key"
      }
    }
  }
}

Tools

Tool	What it does
`search_datasets`	Catalog search by free text (semantic ranking where the instance enables it). Returns dataset records as GeoJSON features.
`get_dataset_schema`	A dataset's columns, geometry type, CRS/SRID, feature count, and extent.
`get_features`	Bounded GeoJSON features for a dataset (OGC API — Features), with optional bbox.
`list_maps`	Saved maps (id, name, visibility, layer count).
`get_map`	One saved map's full metadata, including layers and view state.

Not yet included

A query tool (run SQL through GeoLens's read-only sandbox) is intentionally not in this release. The sandbox has no direct REST endpoint today, and exposing raw SQL over HTTP needs security hardening (cost/DoS bounds, rate limiting, mandatory dataset scope) before it's safe to point at a production instance. Tracked in #565.

Develop

cd mcp
uv run --extra dev python -m pytest -v

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