Skip to content

cloudg MCP layer

From docs/MCP.md on GitHub

cloudg 0.6.0 ships a Model Context Protocol (MCP) layer in cloudg/mcp/. It exposes the inventory, the relationship graph, findings, compliance mappings and the RDF ontology to AI agents as MCP tools, resources and prompts, with an access and data-transformation policy applied to every request.

This guide is for programmers who want to run the layer, plug it into an MCP server they already operate, or call it from Python. Three companion documents cover the rest:

  • MCP_TOOLS.md: the catalog, every tool, resource, template and prompt with its arguments and result shape.
  • MCP_PRIVACY.md: policies, profiles, roles, detectors, transforms and the pseudonym vault.
  • MCP_INTERNALS.md: how the package is built, for contributors.

Every example output below was produced by running the command or script shown against the synthetic estate in tests/mcp/fixtures/sample_estate.py. Long JSON is trimmed and marked with ..., and absolute paths are shortened to .../docest.

Sections