How to Integrate Replit with MCP

Updated on:

Month

4, 2026

By:

Madhav Bhandari

Use this interactive demo to learn how to integrate Replit with MCP.

This tutorial shows how to build and deploy an MCP server on Replit in minutes, so you can create tools and extend AI capabilities across any platform that supports the Model Context Protocol. Notes:

You need a Replit account. MCP server templates are available free in the Replit community and can be remixed instantly.
The MCP server will be deployed with a public URL that you can share with any MCP client (Claude, ChatGPT, VS Code, etc.).
Your MCP server session secret should be stored securely in the Replit Secrets pane for authentication.

Sign in at replit.com and search for the MCP server template (https://replit.com/@mattpal/MCP-on-Replit-TS). Click Remix to create your own copy of the template in your workspace.
Click Use Framework to start your MCP server. The server will boot up and display a development endpoint in the Preview pane. This is your live MCP server running on the internet.
Click Publish in the top menu to deploy your server to a production URL. This will give you a permanent endpoint that stays live and can be connected to any MCP client.
In the Preview pane, copy your MCP server connection string and session secret.
From the Secrets pane, use these credentials to connect your server to any MCP-compatible client like Claude, ChatGPT, or VS Code.
To extend your server, use the Agent prompt field to describe what you want to add - for example: Help me add a tool to this MCP server that fetches Hacker News articles via RSS feed. The Agent will research the framework, add the tool, and redeploy automatically.
Verify your new tool is live by checking the Preview pane, which displays all available tools dynamically from your running server. Your MCP server is now ready to use with any client.

📌 Why this matters

MCP (Model Context Protocol) is becoming the standard way AI agents access external tools and data. By hosting an MCP server on Replit, you create a reusable interface that works with Claude, ChatGPT, VS Code, and any future MCP-compatible platform. Instead of building separate integrations for each tool, you build once and connect everywhere. The practical benefit is that your custom tools become portable, shareable, and future-proof. Whether you're building a private knowledge base, custom API wrapper, or specialized automation tool, hosting it as an MCP server on Replit means it's always available, always up-to-date, and instantly connectable to any AI system.

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