# GraphPulse C++

> Use this tool when you need to analyze complex C++ codebases and identify dependencies, callers, and circular relationships. It solves problems related to code refactoring, maintenance, and optimization by providing a comprehensive and queryable dependency graph. The tool takes C++ codebases as input and outputs visualizable dependency graphs via Mermaid.js, making it ideal for use cases involving large-scale codebase analysis and restructuring.

Canonical page: https://skillsregistry.net/skills/labsofuniverse-legacy-mcp-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/labsofuniverse-legacy-mcp-analyzer

## Description

Analyzes C++ codebases via AST parsing to build comprehensive, queryable dependency graphs for AI agents. Maps complex function relationships to identify upstream callers, circular dependencies, and orphan code. Includes GitHub repo ingestion and token-safe Mermaid.js visual exports to guide safe code refactoring.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-07-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/labsofuniverse/legacy-mcp-analyzer)
- **Repository:** <https://github.com/RohitYadav34980/LegacyGraph-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": "labsofuniverse-legacy-mcp-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/labsofuniverse-legacy-mcp-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/labsofuniverse-legacy-mcp-analyzer/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