Build advanced AI agents with Mistral. Connect 600+ integrations, automate workflows, and deploy with ease using Metorial.
Server deployments in Metorial define which integrations are available to your AI agents. This guide explains how to configure them.
Server deployments are collections of MCP servers (integrations) that you want to make available to your application. Each deployment can include multiple integrations like GitHub, Slack, Google Calendar, and more.
Log in to Metorial: Access your Metorial dashboard.
Navigate to Deployments: Find the "Server Deployments" or "Integrations" section.
Create new deployment: Click "Create Deployment" or "New Deployment".
Select integrations: Choose which integrations you want to include (e.g., GitHub, Google Calendar, Slack).
Configure settings: Set up authentication and permissions for each integration.
Save and copy ID: After saving, copy your deployment ID.
Reference your deployment ID when creating a provider session:
import { metorialAiSdk } from '@metorial/ai-sdk';
import { Metorial } from 'metorial';
const metorial = new Metorial({
apiKey: 'your-metorial-api-key'
});
await metorial.withProviderSession(
metorialAiSdk,
{
serverDeployments: ['your-server-deployment-id']
},
async session => {
// Your AI SDK code here
// session.tools contains all tools from your deployment
}
);
You can use multiple deployments by passing an array of deployment IDs:
{
serverDeployments: [
'deployment-id-1',
'deployment-id-2'
]
}
This combines all integrations from both deployments into a single session.
Connect Mistral AI to over 600 integrations with Metorial's developer-friendly platform built on the Model Context Protocol. Our open-source SDKs for Python and TypeScript make it effortless to give your Mistral-powered agents access to productivity tools, databases, APIs, and services without writing complex integration code. Add capabilities like calendar management, email automation, CRM access, and data retrieval to your Mistral applications in just a couple of lines of code. Metorial handles all the integration complexity—authentication, API calls, error handling, and maintenance—so you can focus on creating intelligent agent behaviors and exceptional user experiences. Whether you're building conversational AI, document analysis tools, or workflow automation with Mistral's efficient and powerful language models, Metorial provides the infrastructure to connect your agents to real-world tools seamlessly. Our MCP-native approach ensures your integrations are standardized, maintainable, and easy to extend. Stop spending valuable engineering time on integration plumbing and start shipping AI features that matter to your users.
Let's take your AI-powered applications to the next level, together.
Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.