Connect the dots: Build with built-in and custom MCPs in Studio

Today we are releasing Connectors in Studio to unblock developers building highly customised AI applications grounded in enterprise data. All built-in connectors, as well as custom MCPs, are now available via API/SDK to be used with all model and agent calls.

We are also introducing direct tool calling, giving developers precise control over how and when tools are invoked, without authentication barriers getting in the way of testing and iterating. In addition, you can now implement human-in-the-loop approval flows, allowing secure review and confirmation before tool execution, ensuring both flexibility and governance.

Programmatic access for creating, modifying, listing and deleting your connectors but also listing their tools and directly running them.
All connectors are centrally registered making them available across Mistral apps: LeChat and AI Studio (with Vibe coming soon).
Usage via Conversation API, Completions API, and Agent SDK can now facilitate complex workflows and integration with enterprise systems like CRMs, knowledgebases & productivity tools.

Integrations that live in the platform, not in your code

Building enterprise AI agents is getting easier. The harder part is everything around them: tracking down the right API docs, writing and maintaining tool functions, building integrations, setting up OAuth, handling token refresh, and debugging edge cases like broken pagination.

Because of this, teams keep rebuilding the same integration layer. Even within the same company, similar integrations are often implemented multiple times in arbitrary code, leading to security risks, lack of traffic observability, and duplication of work.

A connector solves this by packaging an integration into a single, reusable entity using the MCP protocol.