# Code Search MCP

> Use this tool when you need to efficiently search and analyze large codebases across multiple programming languages. It solves problems such as identifying code patterns, detecting technology stacks, and analyzing dependencies, providing outputs like relevant code snippets and dependency graphs through a symbol indexing, regex, and AST pattern matching interface. Ideal for use cases requiring high-performance code search and analysis, such as software development, maintenance, and optimization.

Canonical page: https://skillsregistry.net/skills/llmtooling-code-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/llmtooling-code-search-mcp

## Description

Enables LLMs to perform high-performance code search and analysis across multiple languages using symbol indexing, regex text search, and structural AST pattern matching. It also provides tools for technology stack detection and dependency analysis with persistent caching for optimized performance.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mzk1n6d6by)
- **Repository:** <https://github.com/LLMTooling/code-search-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "llmtooling-code-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/llmtooling-code-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/llmtooling-code-search-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt