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基本信息
MCP Server Semgrep is a [Model Context Protocol](https://modelcontextprotocol.io) compliant server that integrates the powerful Semgrep static analysis tool with AI assistants like Anthropic Claude. It enables advanced code analysis, security vulnerability detection, and code qua
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MCP Server Semgrep is a Model Context Protocol (MCP) compliant server that integrates the Semgrep static analysis tool with AI assistants like Claude. It enables advanced code analysis, security vulnerability detection, and code quality improvements through a conversational interface.
Install via Smithery.ai (recommended), npm global install (npm install -g mcp-server-semgrep), or from GitHub. For Claude Desktop, add the server to claude_desktop_config.json with the path to the built index.js and optional SEMGREP_APP_TOKEN and MCP_SERVER_SEMGREP_ALLOWED_ROOTS environment variables. The server provides tools such as scan_directory, list_rules, analyze_results, create_rule, filter_results, export_results, and compare_results.
It uses the official MCP SDK directly, features a simplified architecture with consolidated handlers, is implemented as clean ES Modules, and includes comprehensive cross-platform support and extensive documentation in English and Polish.
Node.js v18+ is required. Semgrep CLI must be installed (can be installed via npm, pip, Homebrew, or native package managers).
The server does not implement its own authentication; it shells out to the installed `semgrep` CLI and relies on its normal authentication. Use `SEMGREP_APP_TOKEN` for deterministic behavior in managed environments, or an existing `semgrep login` session for local runs.
Only inside explicitly allowed workspace roots. By default, the allowed root is `process.cwd()`. Set `MCP_SERVER_SEMGREP_ALLOWED_ROOTS` to one or more absolute directories (colon-separated on macOS/Linux, semicolon on Windows) to permit additional roots.
Seven tools: `scan_directory` (scan code for issues), `list_rules` (list available rules and languages), `analyze_results` (detailed analysis), `create_rule` (create custom Semgrep rules), `filter_results` (filter results by criteria), `export_results` (export in various formats), and `compare_results` (compare two result sets).
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