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x402 Router

by camerxnduffversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.camerxnduff/x402-router

Install

Overview

Description from the maker (original English)

Search 20k+ live, probed x402 pay-per-call endpoints and route to the best-scored one.

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: Search & AI memory

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).
  • The registry lists no key to fill in.

You need

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": {
    "x402-router": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/camerxnduff/x402-router-mcp:0.1.0"
      ]
    }
  }
}

Run this in your terminal

claude mcp add x402-router -- docker run -i --rm ghcr.io/camerxnduff/x402-router-mcp:0.1.0

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "x402-router": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/camerxnduff/x402-router-mcp:0.1.0"
      ]
    }
  }
}

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": {
    "x402-router": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/camerxnduff/x402-router-mcp:0.1.0"
      ]
    }
  }
}

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.

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account camerxnduff, 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 Search & AI memoryi

  • More stars than 0% of the other 5678 servers in this category
  • Published to the registry more recently than 74% of the other 5678 servers in this category
  • Basic checks equal to or better than 100% of the other 5678 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 x402 Router 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 (0.1.0) reached the registry 14 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

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.

x402 Router: MCP server + free API to find and pay the right x402 endpoint

20,700+ LIVE x402 pay-per-call endpoints across 3,100+ services, probed every 3 hours and scored 0-100 for reliability. Agents don't need to know which x402 API is up. Ask the router.

Keywords: x402, MCP, MCP server, AI agents, agent payments, pay-per-call APIs, USDC, Base, Solana, x402 discovery, x402 router, x402 registry, HTTP 402.

  • Live router: https://router-production-ab89.up.railway.app (OpenAPI: /openapi.json · x402 discovery: /.well-known/x402 · health: /health)
  • Dashboard / registry: https://router-production-ab89.up.railway.app/dashboard
  • For LLMs: https://router-production-ab89.up.railway.app/dashboardllms.txt

Quick start (MCP, 30 seconds)

The server is read-only: it holds no keys and never pays. It exposes four tools: search_x402_endpoints, route_x402_request, get_registry_stats, get_paid_route_requirements.

Option A: uvx (no clone, no PyPI needed)

Claude Desktop (claude_desktop_config.json) or Cursor (~/.cursor/mcp.json):

{

"mcpServers": { "x402-router": { "command": "uvx", "args": ["--from", "git+https://github.com/camerxnduff/x402-router-mcp#subdirectory=mcp-server", "x402-router-mcp"] } } }

Option B: Docker
{

"mcpServers": { "x402-router": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/camerxnduff/x402-router-mcp:latest"] } } }

Or build it yourself: `docker build -t x402-router-mcp .` and use `x402-router-mcp` as the image name.
Option C: from source
git clone https://github.com/camerxnduff/x402-router-mcp

cd x402-router-mcp/mcp-server python3 -m venv .venv && . .venv/bin/activate pip install -r requirements.txt python test_client.py # calls the live router, read-only

```json

{"mcpServers":{"x402-router":{"command":"/abs/path/x402-router-mcp/mcp-server/.venv/bin/python","args":["/abs/path/x402-router-mcp/mcp-server/server.py"]}}}

Streamable HTTP: `python server.py --http 8000` serves `http://localhost:8000/mcp`.

Env overrides: X402_ROUTER_URL, X402_DASHBOARD_URL.

Try it with no install (curl)

# best live Base endpoint for a category (free preview)

curl -s -X POST https://router-production-ab89.up.railway.app/route \ -H 'content-type: application/json' -d '{"category":"Finance","chain":"Base"}'

search the registry

curl -s 'https://router-production-ab89.up.railway.app/dashboardapi/endpoints?q=weather&chain=Base&limit=5'

Why

Thousands of x402 endpoints exist, and many are dead, misconfigured or slow. The router probes every one, checks that its 402 body is valid (version, scheme, network, payTo, asset, amount), and ranks by uptime and latency, so an agent gets a working endpoint with a known price.

HTTP API

EndpointWhat
GET /api/endpoints?q=&chain=&category=&max_price=&min_score=&sort=&limit= (dashboard)Search LIVE endpoints, best first
GET /api/summary (dashboard)Counts by chain, category, source
GET /api/registry (dashboard)Full registry (gzip)
POST /route (router)Best match + top 3, free
POST /route/paid (router)$0.01 USDC (x402, Base; Solana accepted): full ranked list (up to 25) with latency, reliability, price, payTo/networks and a ready-to-pay best pick
GET /check/paid?url= (router)$0.002 USDC (x402): fresh live probe of one endpoint: is it up, latency, the real price and payTo it asks for now

Examples: examples/ (curl, Python, TypeScript).

MCP tools

ToolCost
search_x402_endpoints, route_x402_request, get_registry_stats, get_paid_route_requirementsFree
find_best_x402_endpoint$0.01 USDC per call
check_x402_endpoint$0.002 USDC per call

Paid tools pay inside the tool call. To enable them:

pip install "x402-router-mcp[pay] @ git+https://github.com/camerxnduff/x402-router-mcp#subdirectory=mcp-server"

export X402_EVM_PRIVATE_KEY=0x... # a dedicated, low-balance Base wallet holding a little USDC export X402_MAX_PAYMENT_USD=0.01 # per-call cap (default 0.01)

Without a key, the paid tools return the price and the x402 payment requirements instead of paying.

Payments

x402 v2: Base USDC first, Solana USDC as fallback, settled through the PayAI facilitator.

License

MIT

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