# flatcash-mcp-server

> flatcash-mcp-server — flat-cash-flatcash-mcp-server. Use this tool when you need to reward AI agents with FLAT tokens for completing tasks, leveraging the MCP protocol to facilitate task completion and token distribution. It solves the problem of incentivizing AI agents to perform specific tasks, providing a seamless interface for task assignment and token earnings. Access the tool via the flat.cash/api/mcp endpoint to integrate MCP functionality into your workflow.

Canonical page: https://skillsregistry.net/skills/flat-cash-flatcash-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/flat-cash-flatcash-mcp-server

## Description

AI agents earn FLAT tokens by completing tasks via MCP. Live at flat.cash/api/mcp

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/flat-cash/flatcash-mcp-server)

## 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": "flat-cash-flatcash-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flat-cash-flatcash-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flat-cash-flatcash-mcp-server/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