# chuk-mcp-code-raptor

> chuk-mcp-code-raptor — chrishayuk-chuk-mcp-code-raptor. Use this tool when you need to analyze and understand complex codebases, as it provides deep code intelligence through RAPTOR hierarchical indexing and code property graphs, solving problems related to code comprehension and navigation. It takes in codebases as input and outputs semantic representations, enabling AI agents to make informed decisions. Ideal for use cases where AI-driven code analysis and optimization are required, such as automated bug fixing, code review, and software development.

Canonical page: https://skillsregistry.net/skills/chrishayuk-chuk-mcp-code-raptor  
JSON: https://api.skillsregistry.net/v1/skills/chrishayuk-chuk-mcp-code-raptor

## Description

Deep code intelligence for MCP — an MCP server that gives AI agents semantic understanding of codebases via RAPTOR hierarchical indexing and code property graphs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vv9mdakmxf)
- **Repository:** <https://github.com/chrishayuk/chuk-mcp-code-raptor>

## 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": "chrishayuk-chuk-mcp-code-raptor"
    }
  }
}
```

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

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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