Every integration you hand an AI is normally two new problems: another credential that can leak, and another surface acting with no log. Here, neither survives. Credentials live in an encrypted vault — decrypted only at request time, never shown to a model — and every call is policy-checked against a catalog of 1,095 named functions before it runs. Connect once at the org level, scope each agent to only the tools its job needs, and when a system isn't in the catalog, any REST API or MCP server becomes a tool under the same controls.
Read, enrich and write records in the systems that hold your customer data.
Send, schedule and capture: email, chat, calendars and meetings.
Create and search documents, slides and file stores.
Create and move issues, tasks and projects across trackers.
Prospect, enrich and publish across your go-to-market stack.
Search the web, scrape pages, and reach code, media and voice services.
Not in the catalog? Turn any private or external API into a governed tool.
Drop a documented Postman or OpenAPI collection and stand up a whole product API as ready-to-run tools at once.
Set method, URL, input schema and output mapping by hand, with full control over exactly what the tool exposes.
Register an MCP server's resources as tools through the same registry and vault, permissioned like any native integration.
Connecting is the easy half. The point is what stands between a connected system and an agent that wants to use it.
Authorize a system a single time. The credential and its scope live at the workspace level and become a reusable tool. Organization scope is shared; Personal stays yours alone.
A connected system does not reach every agent. Grant each agent only the tools its job needs, read-only where write is not required. Remove a tool from one agent without touching the others.
Credentials live in an encrypted vault, separate from the tool definitions. Each is encrypted at rest, decrypted only at request time, never exposed to a model or a log, and audit-logged on every read.
The policy engine evaluates each tool call against a catalog of 1,095 named functions, classified read or write — allow, deny, require approval, alert, or log — and records the verdict either way.
