Add Definite as a data warehouse connector

[mike-luabase]

Summary

• Adds Definite to the data plugin as a data warehouse connector
• Definite is an all-in-one analytics platform (DuckDB warehouse, semantic modeling, BI, and AI assistant) with an HTTP MCP server at https://api.definite.app/v3/mcp/http
• Follows existing conventions: added to .mcp.json, CONNECTORS.md, root README.md, and data/README.md

Changes

File	Change
data/.mcp.json	New "definite" MCP server entry
data/CONNECTORS.md	Added Definite to the Data warehouse row
README.md	Added Definite to the data plugin connector list
data/README.md	Added Definite to the "Connecting Your Data Stack" section

Test plan

• JSON syntax validated (python -c "import json; json.load(open('data/.mcp.json'))")
• Formatting matches existing connector entries (alphabetical placement among warehouses, consistent style)
• No new commands or skills added (existing generic skills like sql-queries, data-exploration already work with Definite's MCP tools)

🤖 Generated with Claude Code

[mike-luabase]

Why Definite fits here: the data plugin helps users "query, visualize, and interpret datasets," which usually means setting up a warehouse, ETL, and BI.

Definite handles all of these functions in one product (datalake + pipelines + dashboards).

Our MCP server exposes tools for SQL execution, semantic model querying, ETL, and dashboard creation. The existing generic skills (sql-queries, data-exploration, data-visualization, etc.) all work out of the box -- no Definite-specific commands needed.

MCP docs: https://docs.definite.app/mcp/mcp