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livetennisapi/livetennisapi-mcp

by Various

MCP server for the Live Tennis API — give Claude, Cursor and other LLM agents real-time tennis scores, odds and model win-probability

MCP

livetennisapi/livetennisapi-mcp

Added 3 Sept 2026

#ai #claude #live-scores #llm #mcp #mcp-server #model-context-protocol #sports-api

Overview

MCP server that exposes the Live Tennis API to LLM agents. Provides real-time scores, odds, and model win-probability data to Claude, Cursor, and other MCP-compatible clients. Written in TypeScript.

Best for

Best for
Developers building tennis-aware AI agents or assistants

Use cases

  • Fetch live tennis scores for matches
  • Get current odds and win probabilities
  • Integrate tennis data into AI assistants or workflows

How to use

Install

claude mcp add livetennis -e LIVETENNISAPI_KEY=twjp_… -- npx -y livetennisapi-mcp

Tools exposed

  • get_live_matches
  • get_upcoming_matches
  • get_match
  • get_match_score
  • search_players
  • get_player
  • get_fixtures
  • search_tournaments
  • get_tournament
  • get_recent_results
  • search_archive_matches
  • get_archive_match
  • search_archive_players
  • get_archive_career
  • get_h2h
  • get_match_events
  • get_match_odds
  • get_rankings
  • get_player_rankings
  • get_match_statistics

Tested with

Claude Desktop, Claude Code, Cursor

Notes

MCP server that exposes the Live Tennis API to LLM agents. Provides real-time scores, odds, and model win-probability data to Claude, Cursor, and other MCP-compatible clients. Written in TypeScript.

158 stars on GitHub. Last updated 2026-09-02. Licensed MIT.

Use cases

  • Fetch live tennis scores for matches
  • Get current odds and win probabilities
  • Integrate tennis data into AI assistants or workflows

Pros

  • Real-time data access for LLM agents
  • Works with multiple MCP clients
  • Simple TypeScript implementation

Cons

  • Requires a Live Tennis API subscription
  • Limited to tennis data only
  • Depends on external API availability

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Real-time data access for LLM agents
  • Works with multiple MCP clients
  • Simple TypeScript implementation

Cons

  • Requires a Live Tennis API subscription
  • Limited to tennis data only
  • Depends on external API availability
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