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Build advanced AI agents with Mistral. Connect 600+ integrations, automate workflows, and deploy with ease using Metorial.

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Building an Agentic Workflow with AI SDK

Learn how to build sophisticated agentic workflows using Metorial's integrations with the AI SDK.

What are Agentic Workflows?

Agentic workflows allow your AI to autonomously use multiple tools in sequence to accomplish complex tasks. With Metorial and the AI SDK, you can build agents that interact with hundreds of services seamlessly.

Basic Agentic Pattern

import { metorialAiSdk } from '@metorial/ai-sdk';
import { Metorial } from 'metorial';
import { openai } from '@ai-sdk/openai';
import { generateText } from 'ai';

const metorial = new Metorial({
  apiKey: 'your-metorial-api-key'
});

await metorial.withProviderSession(
  metorialAiSdk,
  { serverDeployments: ['your-server-deployment-id'] },
  async session => {
    const result = await generateText({
      model: openai('gpt-4'),
      tools: session.tools,
      maxSteps: 15, // Allow multiple tool calls
      prompt: `
        Analyze my productivity for this week:
        1. Check my calendar for meetings
        2. Review my GitHub commits
        3. Summarize my Slack messages
        4. Create a weekly report and email it to me
      `
    });
    
    console.log(result.text);
  }
);

Multi-Integration Workflows

Combine different integrations for powerful workflows:

const result = await generateText({
  model: openai('gpt-4'),
  tools: session.tools,
  maxSteps: 20,
  prompt: `
    Project kickoff workflow:
    1. Create a new GitHub repository for "Project Phoenix"
    2. Set up initial project structure
    3. Create a Slack channel for the team
    4. Schedule a kickoff meeting in Google Calendar
    5. Create tasks in our project management tool
    6. Send a summary email to all stakeholders
  `
});

Conditional Tool Usage

The AI SDK with Metorial tools can make intelligent decisions about which tools to use:

const result = await generateText({
  model: openai('gpt-4'),
  tools: session.tools,
  prompt: `
    If there are any high-priority emails from the CEO:
    - Create a calendar reminder
    - Post in the leadership Slack channel
    - Mark the email as important
    
    Otherwise, just give me a summary of today's emails.
  `
});

Streaming Agentic Workflows

Show progress in real-time:

import { streamText } from 'ai';

const result = streamText({
  model: openai('gpt-4'),
  tools: session.tools,
  maxSteps: 10,
  prompt: 'Research topic X, create a summary document, and share it with the team'
});

for await (const chunk of result.textStream) {
  process.stdout.write(chunk);
}

Best Practices

  • Set appropriate maxSteps to prevent infinite loops
  • Provide clear, specific prompts for better tool selection
  • Use streaming for long-running workflows
  • Handle errors gracefully
  • Test workflows with different scenarios

With Metorial handling 600+ integrations, you can focus on designing intelligent agent behaviors rather than building and maintaining integration code.

Mistral on Metorial

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.

Connect anything. Anywhere.

Ready to build with Metorial?

Let's take your AI-powered applications to the next level, together.

About Metorial

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.

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