AI

Boost.space brings AI directly to your data: AI features enrich, transform, and validate the data itself. Connecting an external agent — Claude, ChatGPT, Cursor, or your own — is covered in MCP.

AI always acts within your permissions — it can read, write, and query only the data you can, nothing more.

Start here: AI fields — a value generated or enriched from a prompt and the record's own data. Bringing your own agent, or building for agents? That lives in the MCP tab, starting with Boost.space for AI agents.

AI inside your data

Feature	What it does
Vector database	Embed spaces so agents and search match records by meaning
AI fields	Fields whose values are generated or enriched from a prompt
AI text manipulation	Shorten, extend, translate, and rephrase text inline
AI data transformation	Clean and standardize a whole column with AI
AI data validation	Check a column against a rule and surface what fails

AI features run on AI credits.

Bring your own agent

External agents connect over the Remote MCP Server — they search and write records, build structure, and run AI operations within the connected user's permissions. Start with Connect via MCP; per-client guides live in MCP clients.

How they fit together

Your data lives in Boost.space. AI features act on it from the inside; MCP lets outside agents read and write it too — both within your permission boundaries. The same operations are available to your own code over the REST API and SDKs.