# MicroTap-MCP

> MicroTap-MCP — swaltersjrtest-microtap-mcp. Use this tool when you need to access a wide range of data and services, including prediction markets, DeFi/crypto data, and real-time web search, through a simple and affordable pay-per-call API. It solves problems of data access and integration, providing multi-chain on-chain reads and live information with minimal setup, requiring only a micropayment of $0.001 per call. Ideal for AI agents needing flexible, low-cost data access without the need for API keys or signups.

Canonical page: https://skillsregistry.net/skills/swaltersjrtest-microtap-mcp  
JSON: https://api.skillsregistry.net/v1/skills/swaltersjrtest-microtap-mcp

## Description

19 pay-per-call APIs for AI agents via x402 USDC micropayments on Base — prediction markets (Polymarket, Kalshi), DeFi/crypto data, multi-chain on-chain reads across 5 EVM chains, live weather, and real-time web search. No API key or signup — from $0.001/call. npx -y microtap-mcp

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ibeoszp1tb)
- **Repository:** <https://github.com/swaltersjrtest/microtap-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": "swaltersjrtest-microtap-mcp"
    }
  }
}
```

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