Code Analyzer
An MCP server for analyzing open source projects and assisting with codebase integration
What is Code Analyzer?
Code Analyzer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for analyzing open source projects and assisting with codebase integration
An MCP server for analyzing open source projects and assisting with codebase integration
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An MCP server for analyzing open source projects and assisti
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx anthropic-mcp-code-analyzerConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Code Analyzer
Anthropic MCP Code Analyzer is a Node.js MCP server that uses Claude to analyze open-source repositories and generate intelligent merge strategies for integrating external codebases into your own projects. It clones two repositories (source and target), performs AST-based code analysis, detects architectural patterns and dependencies, and returns a step-by-step integration plan with conflict predictions. Developers planning to adopt a library or merge a forked project use it to get a Claude-powered compatibility assessment and refactoring roadmap before writing a single line of code.
Prerequisites
- Node.js 16 or later installed
- Git available on the system PATH (for cloning analyzed repositories)
- An Anthropic API key (ANTHROPIC_API_KEY) — required for Claude-powered merge strategy generation
- An MCP-compatible client such as Claude Desktop or a custom MCP host
Clone the repository
Clone the code analyzer project and enter the directory.
git clone https://github.com/kivo360/anthropic-mcp-code-analyzer.git
cd anthropic-mcp-code-analyzerInstall dependencies
Install the Node.js dependencies with npm.
npm installSet environment variables
Export your Anthropic API key. The PORT variable is optional and defaults to 3000.
export ANTHROPIC_API_KEY=your_api_key
export PORT=3000Start the server
Start the MCP server. It exposes an HTTP endpoint for analysis requests and a health check endpoint.
npm startConfigure your MCP client
Add the server to your MCP client configuration. The server runs as a local process using Node.js.
{
"mcpServers": {
"code-analyzer": {
"command": "node",
"args": ["/path/to/anthropic-mcp-code-analyzer/src/index.js"],
"env": {
"ANTHROPIC_API_KEY": "your_api_key",
"PORT": "3000"
}
}
}
}Test with a direct API call
Verify the server is working by sending a POST request to /analyze with two repository URLs. The response includes analyses of both repos and a recommended merge strategy.
curl -X POST http://localhost:3000/analyze \
-H "Content-Type: application/json" \
-d '{"sourceRepo": "https://github.com/user/source-repo.git", "targetRepo": "https://github.com/user/target-repo.git"}'Code Analyzer Examples
Client configuration
MCP client config that launches the code analyzer server with the Anthropic API key injected via environment.
{
"mcpServers": {
"code-analyzer": {
"command": "node",
"args": ["/path/to/anthropic-mcp-code-analyzer/src/index.js"],
"env": {
"ANTHROPIC_API_KEY": "your_api_key"
}
}
}
}Prompts to try
Example prompts that use the code analysis and merge strategy generation capabilities.
- "Analyze https://github.com/expressjs/express.git and tell me about its architecture patterns"
- "Generate a merge strategy to integrate the lodash library into my existing utility codebase"
- "What dependencies does https://github.com/some/lib.git have that might conflict with my project?"
- "Compare the code structure of two repositories and identify refactoring steps for integration"Troubleshooting Code Analyzer
Analysis fails with 'authentication_error' or similar Anthropic API error
Verify that ANTHROPIC_API_KEY is set correctly and that the key has sufficient API quota. The server uses Claude to generate merge strategies, so a valid active key is required.
Repository cloning times out for large repos
The server clones both repos locally during analysis. For large repositories this can take time. Ensure you have sufficient disk space and network bandwidth. Consider using shallow clones by modifying the clone logic if needed.
Server starts but MCP client cannot connect
Ensure the server is running on the expected port (default 3000) and that no firewall or process is blocking it. Check the server logs for startup errors, and verify the command/args in your MCP config point to the correct entry file.
Frequently Asked Questions about Code Analyzer
What is Code Analyzer?
Code Analyzer is a Model Context Protocol (MCP) server that mcp server for analyzing open source projects and assisting with codebase integration It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Code Analyzer?
Follow the installation instructions on the Code Analyzer GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Code Analyzer?
Code Analyzer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Code Analyzer free to use?
Yes, Code Analyzer is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Code Analyzer in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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