# Deep Graph MCP Server

> Use this tool when you need to perform semantic searches, dependency analysis, and explore architectural relationships within code graphs. It solves problems related to code exploration, repository structure analysis, and source code retrieval across multiple AI assistants. The Deep Graph MCP Server takes in code graph queries and returns relevant source code, dependency information, and repository structures, ideal for use cases involving complex codebase analysis and AI-powered development.

Canonical page: https://skillsregistry.net/skills/judinilabs-mcp-code-graph  
JSON: https://api.skillsregistry.net/v1/skills/judinilabs-mcp-code-graph

## Description

Enables seamless interaction with public or private code graphs from DeepGraph and CodeGPT to perform semantic searches and dependency analysis. It allows developers to explore architectural relationships, retrieve source code, and analyze repository structures across multiple AI assistants.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yu0hssdely)
- **Repository:** <https://github.com/diffbot/mcp-code-graph>

## 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": "judinilabs-mcp-code-graph"
    }
  }
}
```

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