Building sophisticated AI agents often feels like being a switchboard operator from the 1950s. You're manually plugging into one service after another—GitHub for code, Jira for tasks, Slack for notifications—each with its own MCP server, its own authentication, and its own endpoint. The result? A tangled web of connections that complicates your architecture, bloats your codebase, and slows down development.
Today, we're thrilled to change that. Introducing the Klavis AI Unified MCP Server—a single, consolidated endpoint that lets your AI agent interact with multiple MCP servers as if they were one.
One Connection, All the Tools
The concept is simple but powerful: instead of managing individual connections to every tool your agent needs, you make one connection to the Klavis AI Unified MCP Server. Our server handles the magic of discovering and routing requests to all the individual MCP servers you've set up for your user.
This dramatically simplifies your application's architecture. Your AI agent connects to a single endpoint, and instantly gains access to a whole ecosystem of tools.
How It Works: Simple and Seamless
Getting started with the Unified MCP Server is a straightforward, two-step process:
1. Create Individual MCP Instances: First, you create the individual MCP server instances for your user—one for GitHub, one for Jira, and so on. Your user authenticates each one via OAuth, ensuring their connections are secure.
2. Create a Unified MCP Instance: With the individual servers in place, you make a single API call to create a Unified MCP Server instance for that same user.
That's it. The Unified Server automatically discovers all authenticated servers belonging to that user and exposes their tools through its single endpoint.
Here’s a glimpse of how simple it is to create a unified server instance:
// Create a Unified MCP server instance
const unifiedServer = await klavisClient.mcpServer.createUnifiedServerInstance({
userId: "<YOUR_USER_ID>",
platformName: "<YOUR_PLATFORM_NAME>",
});
console.log(unifiedServer.serverUrl);
// "https://unified-mcp-server.klavis.ai/mcp/?instance_id=<unified-instance-id>"
There's no need to pass a list of server IDs or manage a complex configuration. It just works.
Key Benefits
- Radically Simplified Architecture: Reduce boilerplate code and architectural complexity by managing a single connection point.
- Automatic Tool Discovery: When you add a new MCP server for a user (like a new connection to Slack), it's automatically picked up by their Unified Server. No redeployment or reconfiguration is needed.
- Build More Powerful Agents, Faster: Free your developers to focus on building intelligent agent logic instead of wrestling with API integrations. Create multi-talented agents that can seamlessly orchestrate tasks across different platforms.
- Scalable and Future-Proof: As we add support for more MCP servers, you can integrate them into your application with minimal effort.
The Future is Unified
The Klavis AI Unified MCP Server isn't just a new feature; it's a new way of thinking about building AI agents. It removes the friction of integration, empowering you to create more capable, more intelligent, and more useful applications with ease.
Ready to streamline your AI agent's tool stack? Dive into our Unified MCP Server documentation to get started, or sign up for Klavis AI today to get your API key.