Build advanced AI agents with Deepseek. Connect 600+ integrations, automate workflows, and deploy with ease using Metorial.
Server deployments in Metorial define which integrations your AI agents can access. This guide explains how to set up and use server deployments.
Server deployments are collections of MCP servers (integrations) that you configure in the Metorial dashboard. Each deployment can include specific integrations like GitHub, Slack, Google Drive, and more.
Log into your Metorial account and navigate to the "Server Deployments" section.
Click "New Deployment" and give it a descriptive name (e.g., "Production Integrations" or "GitHub Tools").
Browse the 600+ available integrations and add the ones your agent needs. You can always add or remove integrations later.
Once created, copy your deployment ID. You'll need this in your code.
Pass your deployment ID when creating a provider session:
await metorial.withProviderSession(
metorialAiSdk,
{
serverDeployments: ['your-deployment-id-here']
},
async session => {
// Your agent code here
}
);
You can use multiple deployments to give your agent access to different sets of tools:
{
serverDeployments: [
'github-tools-deployment-id',
'communication-tools-deployment-id'
]
}
Power your Deepseek AI agents with Metorial's extensive integration library featuring over 600 tools and services. Our MCP-powered platform makes it incredibly simple to connect Deepseek models to the APIs and services your applications need. With Metorial's TypeScript and Python SDKs, you can add integrations to your Deepseek-based agents in just a couple of lines of code, eliminating weeks of custom integration development. Whether you're building code assistants, data analysis tools, or intelligent automation with Deepseek's advanced models, Metorial provides instant connectivity to productivity tools, databases, communication platforms, and more. Our open-source, developer-first approach means you maintain full control while we handle the complexity of authentication, rate limiting, error handling, and API versioning. Focus your engineering resources on creating unique AI experiences rather than maintaining integration code. Join the growing community of developers who trust Metorial to handle their integration needs while they concentrate on innovation and delivering value to their 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.