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Djd Agent Score

by jacobsd32-cpuversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.jacobsd32-cpu/djd-agent-score

Install

Overview

Description from the maker (original English)

Reputation scoring for AI agent wallets on Base. Trust scores, fraud checks, x402.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: DJD_BASE_URL, DJD_TIMEOUT_MS

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "djd-agent-score": {
      "command": "npx",
      "args": [
        "-y",
        "djd-agent-score-mcp"
      ],
      "env": {
        "DJD_BASE_URL": "your-value",
        "DJD_TIMEOUT_MS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add djd-agent-score --env DJD_BASE_URL=your-value --env DJD_TIMEOUT_MS=your-value -- npx -y djd-agent-score-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "djd-agent-score": {
      "command": "npx",
      "args": [
        "-y",
        "djd-agent-score-mcp"
      ],
      "env": {
        "DJD_BASE_URL": "your-value",
        "DJD_TIMEOUT_MS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "djd-agent-score": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "djd-agent-score-mcp"
      ],
      "env": {
        "DJD_BASE_URL": "your-value",
        "DJD_TIMEOUT_MS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • DJD_BASE_URL env
    Base URL for the DJD Agent Score API (defaults to production)
  • DJD_TIMEOUT_MS env
    Request timeout in milliseconds (default: 10000)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account jacobsd32-cpu, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32620 servers in this category
  • Published to the registry more recently than 3% of the other 32620 servers in this category
  • Basic checks equal to or better than 100% of the other 32620 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Djd Agent Score safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Intervals MCP

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

djd-agent-score-mcp

MCP server for DJD Agent Score — a reputation scoring API for AI agent wallets on Base.

This server exposes the DJD Agent Score REST API as Model Context Protocol tools, so any MCP-compatible agent (Claude, GPT, Gemini, LangChain, etc.) can call scoring endpoints natively.

Tools

ToolEndpointCostDescription
score_basicGET /v1/score/basicFreeBasic score, tier, confidence
score_fullGET /v1/score/full$0.10 (x402)Full dimension breakdown
score_refreshGET /v1/score/refresh$0.25 (x402)Re-score with latest chain data
report_fraudPOST /v1/report$0.02 (x402)Submit fraud report
check_blacklistGET /v1/data/fraud/blacklist$0.05 (x402)Check fraud reports
get_badgeGET /v1/badge/{wallet}.svgFreeEmbeddable SVG badge
get_leaderboardGET /v1/leaderboardFreeTop scored wallets
register_agentPOST /v1/agent/registerFreeRegister wallet with metadata
health_checkGET /healthFreeSystem status

Installation

npm install -g djd-agent-score-mcp

Or run directly with npx:

npx djd-agent-score-mcp

Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "djd-agent-score": { "command": "npx", "args": ["-y", "djd-agent-score-mcp"] } } }

Cursor

Add to .cursor/mcp.json in your project root:

{

"mcpServers": { "djd-agent-score": { "command": "npx", "args": ["-y", "djd-agent-score-mcp"] } } }

Claude Code

Add to your project's .mcp.json:

{

"mcpServers": { "djd-agent-score": { "command": "npx", "args": ["-y", "djd-agent-score-mcp"] } } }

Generic MCP Client (Streamable HTTP)

Start the server in HTTP mode:

TRANSPORT=http PORT=3000 npx djd-agent-score-mcp

Then connect your MCP client to http://localhost:3000/mcp.

Environment Variables

VariableDefaultDescription
DJD_BASE_URLhttps://djd-agent-score.fly.devAPI base URL (use http://localhost:3001 for local dev)
DJD_TIMEOUT_MS10000Request timeout in milliseconds
TRANSPORTstdioTransport mode: stdio or http
PORT3000HTTP server port (only used when TRANSPORT=http)

Development

git clone <repo-url>

cd djd-agent-score-mcp npm install npm run build npm start

To point at a local API during development:

DJD_BASE_URL=http://localhost:3001 npm start

x402 Payment

Some endpoints require x402 micropayments. When an agent calls a paid tool, the API responds with HTTP 402 and payment instructions. Your agent framework must:

  1. Detect the 402 response
  2. Complete the x402 payment (USDC on Base)
  3. Retry the request with the payment proof

The MCP server surfaces the 402 details in the tool's error response so the agent can handle it.

License

MIT

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