Seatgeek MCP
S

Seatgeek MCP

SeatGeek-MCP is a comprehensive MCP server that provides a SeatGeek tool registry, including event, performer, venue, seat information, and recommendation features, and is used as a TypeScript library.
2 points
8.4K

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

🚀 seatgeek-mcp

The seatgeek-mcp is a comprehensive MCP server that exposes a registry of SeatGeek tools. It includes events, performers, venues, section info, and recommendations, all presented as a TypeScript library.

🚀 Quick Start

Prerequisites

  • Node.js >= 18.0.0
  • npm >= 8.0.0

Installation

npm install seatgeek-mcp

Usage

As a Standalone Server

# STDIO transport (default)
npm start

# HTTP streaming transport
MCP_HTTP=1 PORT=8080 npm start

✨ Features

  • find_events: Search for events by performer, location, date, or venue. This tool is optimized for finding specific events based on user queries. If the query involves a performer, it first looks up the performer, then finds events for that performer. Otherwise, it searches events directly. Returns structured event data with venue information.
  • find_event_recommendations: Get personalized event recommendations based on performers, events, or location. This tool first searches for performers and/or events based on the query, then uses the IDs to find similar events. Use location parameters for nearby events.
  • find_performer_recommendations: Get personalized performer recommendations based on performers, events, or location. This tool first searches for performers and/or events based on the queries, then uses the IDs to find similar performers.
  • retrieve_event_venue_information: Get detailed seating information including sections and rows for a specific event. This tool first searches for the event using the provided query, then retrieves detailed venue layout information.

📦 Installation

npm install seatgeek-mcp

💻 Usage Examples

Basic Usage

As a Standalone Server

# STDIO transport (default)
npm start

# HTTP streaming transport
MCP_HTTP=1 PORT=8080 npm start

Advanced Usage

Testing the Server

  1. Using HTTP transport (easiest for testing):
MCP_HTTP=1 PORT=8080 npm start
  1. Using curl to test tools (proper MCP protocol sequence):

The MCP protocol requires a specific sequence of requests with proper headers:

a. Initialize the connection (required first step):

curl -v -X POST http://localhost:8080 \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-06-11", "capabilities": {}, "clientInfo": {"name": "curl", "version": "1.0.0"}}}'

b. Extract the session ID from the response headers (look for mcp-session-id)

c. Use the session ID for subsequent requests:

# List available tools
curl -X POST http://localhost:8080 \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Mcp-Session-Id: YOUR_SESSION_ID_HERE" \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {}}'

# Call a specific tool (example)
curl -X POST http://localhost:8080 \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Mcp-Session-Id: YOUR_SESSION_ID_HERE" \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": {"name": "find_events", "arguments": {"q": "concert", "per_page": 5}}}'

For a complete working example, see:

  • examples/curl-example.sh - Shell script demonstrating the full sequence of requests
  • examples/node-example.js - Node.js script showing programmatic usage
  1. Using the test scripts:
# Run the simple test server script
npm run test-server

# Run the comprehensive tool tests (requires server to be running separately)
npm run test-tools

📚 Documentation

Environment Variables

Property Details
SEATGEEK_CLIENT_ID Your SeatGeek API client ID (required)
SEATGEEK_SECRET Your SeatGeek API secret (optional)
MCP_HTTP Set to any value to enable HTTP transport instead of STDIO
PORT Port to listen on when using HTTP transport (default: 8080)

Setting up Environment Variables

To use this MCP server, you need to set up a .env file in the root directory with your SeatGeek API credentials:

  1. Copy the .env.example file to .env:
cp .env.example .env
  1. Edit the .env file and replace the placeholder values with your actual SeatGeek API credentials

You can obtain your SeatGeek API credentials by creating an account at SeatGeek Platform.

Using with Claude Desktop

Prerequisites

  • Installed Claude Desktop
  • Added claude_desktop_config.json under Settings -> Developer

Setup Instructions

  • Add to mcpServers list:
"seatgeek-mcp": {
  "command": "node",
  "args": ["/path-to/seatgeek-mcp/dist/server.js"],
  "env": {
    "SEATGEEK_CLIENT_ID": "your-client-id"
  }
}

Using with OpenWebUI

You can use this MCP server with OpenWebUI through the mcpo (MCP Over HTTP) proxy, which automatically generates OpenAPI documentation from your MCP tool schemas.

Prerequisites

  • Docker installed on your system (Optional if using uv)
  • OpenWebUI installed and running

Setup Instructions

  1. Start the mcpo proxy:
docker run -p 8000:8000 -v $(pwd):/workspace -w /workspace ghcr.io/open-webui/mcpo:main -- npm start

or

uvx mcpo --port 8000 -- npm start
  1. Verify the proxy is running:
  • Open your browser and navigate to http://localhost:8000/docs to see the automatically generated Swagger UI documentation
  • You can also check the OpenAPI specification at http://localhost:8000/openapi.json
  1. Connect to OpenWebUI:
  • Open OpenWebUI
  • Go to Settings > Tools & Integrations
  • Add a new OpenAPI-compatible tool
  • Use the URL: http://localhost:8000

Example Usage in OpenWebUI

Once connected, you can use these tools in OpenWebUI that will make requests such as:

  • To search for performers: {"q": "washington nationals", "per_page": 5}
  • To search for venues: {"city": "New York", "per_page": 5}

The mcpo proxy automatically handles the conversion between the OpenAPI REST interface and the MCP protocol, making your MCP tools accessible through standard REST endpoints that OpenWebUI can easily integrate with.

🔧 Technical Details

The server implements the Model Context Protocol (MCP) specification, so it can be used with any MCP-compatible client.

📄 Demo

seatgeek-mcp-demo

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.0K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
7.0K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.2K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.8K
4 points
P
Paperbanana
Python
7.2K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.6K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.1K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.9K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
76.2K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
22.6K
4.5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
66.3K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
36.0K
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
50.3K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.9K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase