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MCP Scout (smarter-faster-better-mcp)

@iHaiduk

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

iHaiduk

提交者

Ihor Haiduk

关于 MCP Scout

A blazing fast, ultra-lightweight Model Context Protocol (MCP) server for AST-based code intelligence and semantic discovery. It runs as compiled Node.js JavaScript for npx, uses oxc-parser by default for JavaScript/TypeScript, and can opt into web-tree-sitter for polyglot reposi

MCP Scout 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "scout": {
      "command": "npx",
      "args": [
        "smarter-faster-better-mcp"
      ]
    }
  }
}

MCP Scout 工具

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。

概览

What is MCP Scout?

MCP Scout is a blazing fast, ultra-lightweight Model Context Protocol server for AST-based code intelligence and semantic discovery. It uses the Rust-powered oxc-parser by default for JavaScript/TypeScript and can optionally use web-tree-sitter for polyglot repositories (Python, Go, Rust, Java, C/C++, C#, PHP, Dart, Ruby).

How to use MCP Scout?

Run directly via npx smarter-faster-better-mcp. Configure an LLM provider by creating a .env file in your project root with SCOUT_BASE_URL, SCOUT_API_KEY, and SCOUT_MODEL. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf, Trae, Claude Code) using the command npx smarter-faster-better-mcp. Optionally set the --parser tree-sitter flag for polyglot support.

Key features of MCP Scout

  • Zero native bindings — installs in milliseconds without node-gyp
  • Deterministic Jaro-Winkler filtering for instant symbol ranking
  • LLM chunk parallelism distributes classification requests efficiently
  • AST extraction with summaryOnly mode saves up to 90% of tokens
  • AST + regex dependency mapping via ripgrep
  • Read-only contract — never modifies project source files
  • Supports JavaScript, TypeScript, Python, Go, Rust, Ruby, Java, C/C++, C#, PHP, Dart

Use cases of MCP Scout

  • Rapid code search and symbol discovery in large JavaScript/TypeScript projects
  • Tracing exact dependency imports across files in a monorepo
  • Providing LLMs with summarized file context without reading entire raw files
  • Analyzing polyglot codebases (e.g., React frontend + Python backend)
  • Reducing token consumption and context overflow during AI-assisted code analysis

常见问题

1

What are the runtime requirements for MCP Scout?

Node.js >= 18, Bun >= 1.1.0 (for development testing), and Ripgrep (`rg`) for symbol dependency lookup.

2

How does MCP Scout achieve such high speed?

It uses the Rust-based oxc-parser for instant file parsing, deterministic Jaro-Winkler edit distance filtering, LLM chunk parallelism, and AST extraction that collapses code bodies into stubs, saving tokens.

3

Does MCP Scout modify my project files?

No, it is strictly read-only. The only writes are to its own cache files (`.project_map.json` and `.scout-cache/`), which can be safely cleaned with the `cleanup_workspace` tool.

4

Which parser engine should I choose?

Use the default `oxc` for pure JavaScript/TypeScript codebases. Switch to `tree-sitter` (via `--parser tree-sitter`) for monorepos or backend services that include Python, Go, Rust, Ruby, Java, C/C++, C#, PHP, or Dart files. Even in tree-sitter mode, JS/TS files are still parsed by oxc for maximum performance.

5

How do I configure MCP Scout?

Create a `.env` file in your project root with the required variables `SCOUT_BASE_URL`, `SCOUT_API_KEY`, and `SCOUT_MODEL`. Optional variables include `SCOUT_LLM_TIMEOUT_MS`, `SCOUT_CONFIDENCE_THRESHOLD`, `SCOUT_LLM_PARALLELISM`, and `SCOUT_PARSER`. The server loads these automatically on startup.

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