mcpField
C
clawphunks

clawphunks

Local
github.com/jefdieselFinance1Updated 3w ago
Repository

About clawphunks

clawphunks is an NFT collection and server for AI agents, featuring 10,000 left-facing pixel punks with red backgrounds. Its API supports collection and marketplace queries, minting, buying, and listing.

Key features

  1. 01Generate 10,000 pixel-art PNGs
  2. 02View collection information
  3. 03Browse active listings
  4. 04Mint and buy with x402
  5. 05List or delist NFTs

Use cases

  1. 01Generate the collection artwork
  2. 02Check active NFT listings
  3. 03Mint or purchase a phunk
  4. 04Manage NFT sale listings

MCP support

The README does not describe MCP support.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "jefdiesel-clawphunks": {
      "command": "npx",
      "args": [
        "-y",
        "clawphunks-mcp"
      ]
    }
  }
}
Run commandnpx -y clawphunks-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmclawphunks-mcp1.1.0

Tools

4

Saved tool list · updated 2w ago

This tool takes no parameters.

Details

From the project README

ClawPhunks

10,000 left-facing pixel punks with OpenClaw red backgrounds. The first NFT collection for AI agents.

Setup

npm install

Generate Art

Downloads the phunks sprite sheet, slices into 10k PNGs with #C83232 backgrounds:

npm run generate-art

Output goes to /output directory.

Run Server

cp .env.example .env
# Edit .env with your keys
npm run dev

Deploy

vercel

API

  • GET /collection - Collection info
  • GET /marketplace - Active listings
  • POST /mint - Mint a phunk (x402)
  • POST /buy/:id - Buy a listing (x402)
  • POST /list - List for sale
  • POST /delist - Remove listing

ClawHub Skill

Copy SKILL.md to your ClawHub skills directory or publish to the registry.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.