# GraphHub

> Use this tool when you need to transform complex codebases into a navigable knowledge graph, enabling AI agents to perform semantic search, impact analysis, and persistent session memory, with capabilities for significant token savings. It solves problems related to codebase comprehension, dependency analysis, and AI session management. Inputting codebases, it outputs a queryable knowledge graph, ideal for use cases requiring efficient and intelligent code analysis.

Canonical page: https://skillsregistry.net/skills/slnquangtran-graph-hub  
JSON: https://api.skillsregistry.net/v1/skills/slnquangtran-graph-hub

## Description

Transforms codebases into a knowledge graph for AI agents, enabling semantic search, impact analysis, and persistent session memory with up to 94% token savings.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/psepnmuqid)
- **Repository:** <https://github.com/slnquangtran/Graph-Hub>

## 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": "slnquangtran-graph-hub"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/slnquangtran-graph-hub` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/slnquangtran-graph-hub/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