# CodeGraph CLI MCP Server

> Use this tool when you need to analyze and navigate large codebases efficiently, or when you require advanced semantic code search and architectural insights across multiple programming languages. It solves problems of codebase complexity, scalability, and maintainability by providing graph-based relationships and intelligent code pattern detection. The CodeGraph CLI MCP Server takes in codebases as input and outputs vector embeddings and actionable insights, making it ideal for use cases involving AI-powered code comprehension and optimization.

Canonical page: https://skillsregistry.net/skills/jakedismo-codegraph-rust  
JSON: https://api.skillsregistry.net/v1/skills/jakedismo-codegraph-rust

## Description

A high-performance CLI tool that provides semantic code search, advanced architectural analysis, and codebase indexing with vector embeddings across multiple programming languages. Enables AI assistants to understand and navigate large codebases through graph-based relationships and intelligent code pattern detection.

## Trust

- **Trust score (0–1):** 0.15
- **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/f6jx5tt00h)
- **Repository:** <https://github.com/Jakedismo/codegraph-rust>

## 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": "jakedismo-codegraph-rust"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jakedismo-codegraph-rust` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jakedismo-codegraph-rust/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