# Graffiticode

> Use this tool when you need to integrate natural language requests with domain-specific language backends, creating, updating, and retrieving items across multiple specialized systems. It solves problems of language barriers and data silos by routing requests through language-agnostic tools, supporting various formats like concept web assessments and spreadsheets. With OAuth 2.1 authentication and flexible deployment options, Graffiticode is ideal for applications requiring secure, scalable, and versatile data management.

Canonical page: https://skillsregistry.net/skills/graffiticode  
JSON: https://api.skillsregistry.net/v1/skills/graffiticode

## Description

Routes natural language requests to Graffiticode's domain-specific language backends through five language-agnostic tools. Supports creating, updating, and retrieving items across multiple specialized DSLs including concept web assessments, spreadsheets, and flashcard games. Provides OAuth 2.1 authentication, Streamable HTTP transport, and both hosted and local deployment options.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/graffiticode)
- **Repository:** <https://github.com/graffiticode/graffiticode-mcp-server>

## 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": "graffiticode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/graffiticode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/graffiticode/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