# SeatGeek

> Use this tool when you need to integrate event discovery and personalized recommendations into your application, solving problems such as finding relevant events and providing users with tailored suggestions. It takes inputs like performer names, locations, and date ranges, and outputs comprehensive event data including venue information and taxonomies. Ideal for use in entertainment, travel planning, and recommendation engine applications that require access to a vast database of live events.

Canonical page: https://skillsregistry.net/skills/petershin23-seatgeek  
JSON: https://api.skillsregistry.net/v1/skills/petershin23-seatgeek

## Description

Provides integration with SeatGeek's event discovery platform through two specialized tools for finding events and generating personalized recommendations. Built with TypeScript and optimized for performer-based searches, the implementation automatically resolves performer names to slugs for precise event matching and includes intelligent fallback mechanisms when API lookups fail. Features comprehensive event data including venue information, performer details, taxonomies, and location-based filtering with date range support, making it valuable for entertainment applications building event discovery features, travel planning tools that need local event information, and recommendation engines that require access to SeatGeek's extensive database of concerts, sports, theater, and other live events.

## 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:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/petershin23-seatgeek)
- **Repository:** <https://github.com/petershin23/seatgeek-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": "petershin23-seatgeek"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/petershin23-seatgeek` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/petershin23-seatgeek/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
