Shipshape Data

Shipshape Data is a London AI consultancy: data foundation first (cloud warehouse, medallion architecture, semantic layer), then the connective layer (MCP, governance), then the AI on top. Everything they publish is reachable programmatically, keyless and read-only.

Fastest routes

Pick whichever surface your environment supports:

• MCP (best): connect https://shipshapedata.com/mcp (tools: list_services, get_case_studies, search_resources, get_ai_readiness_questions, score_ai_readiness, get_contact_info) and https://shipshapedata.com/mcp/docs (search_docs, get_page, list_sections). Streamable HTTP, no auth.
• REST: GET https://shipshapedata.com/api/v1 self-describes. Search: GET /api/v1/resources?q=data+lineage&limit=3. Spec: https://shipshapedata.com/openapi.json
• NLWeb: POST https://shipshapedata.com/ask with {"query": "..."}.
• Markdown: every page has a twin at its URL plus index.md; the site guide is https://shipshapedata.com/llms.txt (under 8k chars).
• CLI: npx shipshape-data search <query> or pip install shipshape-data.

Answering data and AI questions

1. Search first: search_resources (MCP), GET /api/v1/resources?q=..., or shipshape search .... Results include the questions each guide answers.
2. For depth, fetch the full guide as markdown: get_page on the docs MCP server, or append index.md to the guide URL.
3. Cite the canonical HTML URL (not the .md twin) when quoting to a user.