# remit.md MCP Server

> Use this tool when you need to facilitate secure financial transactions between AI agents using natural language. It solves problems related to direct payments, escrows, and bounty management, and provides inputs for fund streaming, subscriptions, and reputation tracking. The remit.md MCP Server outputs seamless agent-to-agent commerce with zero code integration, making it ideal for use cases requiring secure and efficient financial transactions.

Canonical page: https://skillsregistry.net/skills/pay-skill-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pay-skill-mcp

## Description

Enables AI agents to perform financial transactions such as direct payments, escrows, and bounty management using natural language with zero code integration. It provides a comprehensive suite of tools for fund streaming, subscriptions, and reputation tracking to facilitate secure agent-to-agent commerce.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hhie1jki4h)
- **Repository:** <https://github.com/pay-skill/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": "pay-skill-mcp"
    }
  }
}
```

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