# graphify-mcp

> Use this tool when you need to explore codebases through a structural graph during development, enabling AI assistants to navigate and understand code structure. It exposes the Graphify knowledge graph as MCP tools, prompts, and resources, providing a token-budgeted interface for querying and analyzing code. Ideal for use cases requiring codebase analysis and understanding, such as development, debugging, and optimization.

Canonical page: https://skillsregistry.net/skills/yasinyaman-graphify-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yasinyaman-graphify-mcp

## Description

A Python MCP server that exposes the Graphify knowledge graph as MCP tools, prompts, and resources, enabling AI assistants to explore codebases through a token-budgeted, structural graph during development.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mvtepbplwn)
- **Repository:** <https://github.com/yasinyaman/graphify-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": "yasinyaman-graphify-mcp"
    }
  }
}
```

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

---
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