What are the runtime requirements?
The server requires `git`, `Node.js` (with `npx` working), and optionally the Codacy CLI for local analysis. The CLI will be auto‑installed if missing.
@codacy
基本信息
Codacy's MCP Server implementation
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"codacy": {
"command": "npx",
"args": [
"-y",
"@codacy/codacy-mcp"
],
"env": {
"CODACY_ACCOUNT_TOKEN": "<YOUR_TOKEN>",
"CODACY_CLI_VERSION": "<VERSION>"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
The Codacy MCP Server is a Model Context Protocol server that connects to the Codacy API, providing access to repository management, code quality, coverage, security, and analysis tools. It is designed for developers using AI‑powered IDEs such as Cursor, Windsurf, VS Code with Copilot, or Claude Desktop.
Install Node.js and ensure npx works. Obtain a Codacy Account API Token from your Codacy account. Then configure the server in your IDE (e.g., Cursor, Windsurf, VS Code, Claude Desktop) by adding a JSON configuration or using the one‑click install links. The server runs via npx -y @codacy/codacy-mcp with the token set as the CODACY_ACCOUNT_TOKEN environment variable.
The server requires `git`, `Node.js` (with `npx` working), and optionally the Codacy CLI for local analysis. The CLI will be auto‑installed if missing.
Go to your [Codacy Account](https://app.codacy.com/account/access-management) and generate a Personal API Access Token. Set it as the `CODACY_ACCOUNT_TOKEN` environment variable.
The easiest way is to install the Codacy extension from the IDE marketplace and click “Add Codacy MCP Server”. Alternatively, manually add a JSON configuration file (e.g., `.cursor/mcp.json` for Cursor, `claude_desktop_config.json` for Claude Desktop) with the `npx` command and your token.
Install the server globally (`npm install -g @codacy/codacy-mcp`) and configure the MCP server to use the Node binary directly, pointing to the installed `dist/index.js`.
The server provides tools for repository management, organization/repo listing, code quality issues, file analysis, security (SRM) items, pull request analysis, tool/pattern management, and local CLI analysis. Each tool is prefixed with `codacy_`.
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