# Recoupable

> Use this tool when you need to retrieve and analyze social media insights for artists, solving problems of data aggregation and summarization across multiple platforms. It takes artist identifiers and social media platform APIs as inputs and outputs structured statistics on fan and post data. Use Recoupable in contexts where you require easy access to summarized social media information for artists, such as in developer or analyst workflows.

Canonical page: https://skillsregistry.net/skills/sweetmantech-recoupable  
JSON: https://api.skillsregistry.net/v1/skills/sweetmantech-recoupable

## Description

A Vercel-deployed MCP server designed to retrieve social media insights for artists, specifically fetching fan and post data across platforms. Built with TypeScript and the Model Context Protocol SDK, this server provides tools to aggregate and summarize social media statistics, enabling developers and analysts to easily access structured information about an artist's online presence.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sweetmantech-recoupable)
- **Repository:** <https://github.com/recoupableorg/mcp-vercel>

## 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": "sweetmantech-recoupable"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sweetmantech-recoupable` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sweetmantech-recoupable/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