Connect the dots: Build with built-in and custom MCPs in Studio
Connect enterprise data to your AI applications with reusable connectors, direct tool calling, and human-in-the-loop approval controls.
MCP and tool use
All topicsHow models connect to the outside world: the MCP ecosystem, function calling and tool integrations.
26selectedRelated topicsAI agentsAI codingOpen source
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21–26 of 26May 22
Apr 27
Workflows for work that runs the business
Mistral AI released Workflows in public preview, positioning it as an enterprise AI orchestration layer with durable execution, observability and fault tolerance to take AI workflows from proof of concept to production.
Mar 17
Leanstral: Open-Source foundation for trustworthy vibe-coding
Mistral AI released Leanstral, the first open-source coding agent for Lean 4, using a sparse architecture with 6B active parameters. Its weights are available under Apache 2.0, and it is integrated into Mistral vibe and the free labs-leanstral-2603 API endpoint.
Jan 28
Terminally online Mistral Vibe.
Mistral released the terminal coding agent Mistral Vibe 2.0, powered by the Devstral 2 model family, adding custom subagents, multiple-choice clarifications, slash-command skills, unified agent modes and automatic updates.
Sep 2
Le Chat. Custom MCP connectors. Memories.
Mistral launched a beta directory of more than 20 secure MCP-based connectors in Le Chat across data, productivity, development, automation and business. It connects tools including Databricks, Snowflake, GitHub, Atlassian, Asana, Outlook, Box, Stripe and Zapier, and supports custom connectors or any remote MCP server.
May 27
Build AI agents with the Mistral Agents API
Mistral AI released Agents API, combining its language models with built-in connectors for code execution, image generation, document libraries and web search, plus MCP tools, persistent memory across conversations and agent orchestration.