Geo-INQUIRE MCP Server

This worktree contains the MCP-backed implementation for the Geo-INQUIRE OGC API Processes workflow. The baseline Skill.md-only implementation stays in the main worktree.

Install the package in editable mode from this worktree:

python3 -m pip install -e .

Then run the stdio server with:

python3 -m geoinquire_mcp.server

MCP Client Configuration

An example MCP client configuration is available at:

examples/mcp-client.json

Use it as the mcpServers entry for an MCP-capable client, or copy the geoinquire server block into an existing client config. The example does not use a machine-specific path. It expects geoinquire-mcp to be installed in the same Python environment that the client reaches through python3.

Before wiring it into a client, run the local smoke test without touching the remote API:

python3 -m geoinquire_mcp.server --self-test

Related MCP server: Rasdaman MCP Server

Operation Tools

• geoinquire_plan_operation: interpret a user request plus structured inputs into a preflight plan, candidate payload, missing values, warnings, and next question.

• geoinquire_get_processes: fetch the live process list and include local audited summaries.

• geoinquire_describe_process: fetch a live process description and include the local audited summary.

• geoinquire_validate_payload: validate an execution payload against local audited process rules.

• geoinquire_execute_operation: submit a confirmed execution payload. It refuses to run unless confirmed: true.

• geoinquire_get_job_status: poll a Geo-INQUIRE job using the correct /geoinquire/jobs/{jobId} path.

• geoinquire_get_job_results: fetch job results and preserve artifact metadata.

• geoinquire_run_job_to_completion: submit a confirmed async operation, poll to terminal status, and fetch results on success.

The server is intentionally not a 1:1 wrapper around the HTTP API. It groups related API calls and validation behavior into operations while leaving the natural-language preflight and confirmation discussion in SKILL.md.