Skip to main content

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, read features and maps, and run read-only SQL from inside a dev session.

Read-only by design. No writes, ingest, or admin. The discovery tools are GETs against existing API endpoints; query is a POST mechanically but executes inside the server's READ ONLY SQL sandbox, so it cannot modify anything. 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 (query additionally requires a credential whose user holds the AI-chat permission — read_only API keys work, via a route-specific server-side carve-out).

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 with safe origin and freshness state; health/check/refresh keys are null when unavailable in the search summary.
get_dataset_schema A dataset's columns, geometry type, CRS/SRID, feature count, extent, and source trust metadata.
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.
query One read-only SQL SELECT through the server's hardened sandbox (#565): single statement over data.* tables, allowlisted functions, a mandatory restrict_tables scope, and a strict server-side budget (statement timeout, self-join cap, row limit, rate limits). Needs a credential whose user has the AI-chat permission; requires GeoLens ≥ the release that ships POST /api/query/.

Develop

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

Release files for geolens-mcp 1.20.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for geolens-mcp 1.20.0
File Size Uploaded
geolens_mcp-1.20.0.tar.gz 69.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for geolens-mcp 1.20.0
File Interpreter ABI Platform
geolens_mcp-1.20.0-py3-none-any.whl Python 3 none any Details

Total release size:84.7 kB

Release files / geolens_mcp-1.20.0.tar.gz

Download URL geolens_mcp-1.20.0.tar.gz
Size 69.5 kB
Tags Source
SHA-256 checksum
How to use checksums
07e829a2ccefb9b10d7dc58260f48e15efe8864b36ce560d7ccc09bc84763553
BLAKE2b-256 checksum
How to use checksums
6d655d1262dcf84af910172647aa1f9ed604714aa9207c7ab6555d212e40bffa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / geolens_mcp-1.20.0-py3-none-any.whl

Download URL geolens_mcp-1.20.0-py3-none-any.whl
Size 15.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
24781e6bc24c2a20d0fcbd314a4c3379af3559b77127591ad9d962cfff7e099e
BLAKE2b-256 checksum
How to use checksums
c105d7696f53151f5eb72d47b9ac03ce01a46993ae0b72ce733b0be9a835608c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release history Release notifications | RSS feed

This release

1.20.0 This release

2 release files

1.19.1

2 release files

1.17.0

2 release files

1.16.1

2 release files

1.16.0

2 release files

1.15.1

2 release files

1.15.0

2 release files

1.14.2

2 release files

1.14.1

2 release files

1.14.0

2 release files

1.13.1

2 release files

1.13.0

2 release files

1.12.0

2 release files

1.11.1

2 release files

1.11.0

2 release files

1.9.0

2 release files

1.8.0

2 release files

1.7.1

2 release files

1.7.0

2 release files

1.6.1

2 release files

1.6.0

2 release files

1.5.1

2 release files

1.5.0

2 release files

1.4.13

2 release files

1.4.11

2 release files

1.4.10

2 release files

1.4.9

2 release files

1.4.8

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page