# Padel Analyst

> Use this tool when you need to access professional padel data and analyze player, tournament, and match statistics using natural language queries. It solves problems related to data retrieval and analysis for padel enthusiasts and professionals, providing outputs such as player rankings, tournament results, and match statistics. It takes natural language inputs and requires an API token for authentication, making it ideal for use cases where code-free data analysis is necessary.

Canonical page: https://skillsregistry.net/skills/ferranfg-padelapi  
JSON: https://api.skillsregistry.net/v1/skills/ferranfg-padelapi

## Description

**Padel Analyst** by [Padel API](https://padelapi.org) is an MCP server that connects AI assistants to professional padel data. It allows you to ask natural language questions about players, tournaments, matches, and statistics without writing any code.

**Prerequisites**

**1. Subscribe to the Analyst Plan**

Sign up for the [Analyst Plan](https://padelapi.org/billing) (19€/month) which includes:

- Up to 50K requests/month
- MCP Server Access
- Works with ChatGPT
- Natural language queries
- Basic support

**2. Create an API Token**

Generate your personal API token from the [API Tokens](https://padelapi.org/user/api-tokens) page. You’ll need this to authenticate MCP requests.

[Learn more about Padel Analyst →](https://docs.padelapi.org/padel-analyst)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ferranfg/padelapi)

## 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": "ferranfg-padelapi"
    }
  }
}
```

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

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