# payflowagent-mcp

> Use this tool when you need to evaluate Monad tokens on nad.fun, as it provides risk and momentum scores through its token intelligence MCP server. The payflowagent-mcp enables AI agents to assess tokens using free and paid tools via the x402 protocol, solving token evaluation and risk assessment problems. It accepts token data as input and outputs risk and momentum scores, making it ideal for use cases requiring informed token evaluation and decision-making.

Canonical page: https://skillsregistry.net/skills/coinlooter-payflowagent-mcp  
JSON: https://api.skillsregistry.net/v1/skills/coinlooter-payflowagent-mcp

## Description

Token intelligence MCP server for Monad tokens on nad.fun, providing risk and momentum scores. Enables AI agents to evaluate tokens with free and paid tools through the x402 protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n2e9h3yuvj)
- **Repository:** <https://github.com/Coinlooter/payflowagent-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": "coinlooter-payflowagent-mcp"
    }
  }
}
```

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