npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@iflow-mcp/raintear94-code-search

v1.0.0

Published

高性能批量化 MCP 代码搜索服务器,提供 view_files_full_context, view_files_outlines, view_code_items 三大核心深度代码理解工具。

Readme

EN 中文

Code Search MCP Server

High-performance, batch-oriented MCP (Model Context Protocol) code understanding toolkit for AI agents, specially optimized for Java.

Designed to solve the challenge where AI agents get "lost" in large codebases or lack precise context. It focuses on deep parsing, parallel batch processing, and panoramic context to explore large codebases efficiently, significantly reducing token usage while improving logical understanding.

Use Cases

  • Panoramic Context: Read multiple files in one call with dependency context auto-expanded.
  • Structural Mapping: Build project outlines fast with deep Java annotation awareness.
  • Precise Surgery: Precisely locate classes/methods/definitions and return in batch.

Core Tools

| Tool | Capability | Notes | | --- | --- | --- | | view_files_full_context | Panoramic context | Batch read with dependency + model field expansion | | view_files_outlines | Structural outline | Batch outline extraction with Java annotation awareness | | view_code_items | Precise location | Batch locate classes/methods/definitions |

Design Notes

  • stdio transport: JSON-RPC 2.0 via standard I/O.
  • Deterministic protocol: absolute paths only, no path wildcards.
  • Java outline enhancement: annotation backtracking merged into signatures.

Java Spring Deep Fit

More than just text search, it understands business logic:

  • Layer-Aware Ordering: Intelligent sorting (Controller → Service → Impl → MQ → Repository) so AI understands the business flow immediately.
  • Deep Annotation-Awareness: Instead of just seeing signatures, AI sees merged annotations (like @Transactional, @PreAuthorize) to understand business semantics.
  • Smart DI Parsing: Automatically identifies injected fields (dependencies), eliminating the need for AI to guess where userService comes from.
  • Project Structure: Full support for src/main/java and multi-module Maven/Gradle projects.

Requirements

  • Node.js v18.0.0 or later

Install & Build

npm install
npm run build

Integration

"mcpServers": {
  "code-search": {
    "command": "node",
    "args": ["{file}/code-search/index.js"]
  }
}

Tips

  • Prefer view_files_full_context for full context in one call.
  • Absolute paths are required for stability and reproducibility.
  • Complex queries should be split into precise calls.

Open Source

This project is open-sourced under the MIT License. You may use, modify, and distribute it under the license terms.