# Blockchain Payment MCP Server

> Use this tool when you need to facilitate secure and efficient blockchain payment operations across multiple networks. It solves problems related to cross-network transactions, balance management, and transaction tracking, providing inputs such as wallet information and network selection, and outputs including transaction status and gas fee estimates. Ideal for use cases requiring multi-network payment support, such as cryptocurrency exchanges, wallets, and decentralized applications.

Canonical page: https://skillsregistry.net/skills/logos-42-blockchain-payment-mcp  
JSON: https://api.skillsregistry.net/v1/skills/logos-42-blockchain-payment-mcp

## Description

Enables blockchain payment operations across multiple networks including Base, Ethereum, BSC, Polygon, and Avalanche. Supports balance queries, token transfers, transaction tracking, wallet management, and gas fee estimation with built-in security limits.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/efy77ekiqa)
- **Repository:** <https://github.com/logos-42/blockchain-payment-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": "logos-42-blockchain-payment-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/logos-42-blockchain-payment-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/logos-42-blockchain-payment-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