# codegraph-mcp

> Use this tool when you need to efficiently search and analyze Python code intent, reducing token usage through intelligent call graph analysis. It solves problems related to code understanding and navigation by returning relevant cite spans and call chains. The codegraph-mcp server takes Python code as input and outputs actionable insights, making it ideal for use cases involving code optimization and exploration.

Canonical page: https://skillsregistry.net/skills/sahilsheikh12299-codegraph-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sahilsheikh12299-codegraph-mcp

## Description

MCP server that enables intent search over Python call graphs inside Cursor, returning cite spans and call chains to reduce token usage.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l6b15oshqb)
- **Repository:** <https://github.com/SahilSheikh12299/codegraph-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": "sahilsheikh12299-codegraph-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sahilsheikh12299-codegraph-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sahilsheikh12299-codegraph-mcp/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