Skip to main content
Learn how to build a Model Context Protocol (MCP) server that enables AI models to understand and manipulate code using Codegen’s powerful tools. This guide will walk you through creating an MCP server that can provide semantic code search
View the full code in our examples repository

Setup:

Install the MCP python library

Step 1: Setting Up Your MCP Server

First, let’s create a basic MCP server using Codegen’s MCP tools: server.py

Step 2: Create the search tool

Let’s implement the semantic search tool. server.py

Run Your MCP Server

You can run and inspect your MCP server with:
If you’d like to integrate this into an IDE checkout out this setup guide And that’s a wrap, chime in at our community Slack if you have questions or ideas for additional MCP tools/capabilities