Lumify Sports Intelligence MCP MCP server

An official MCP server provided by Lumify that enables AI agents to access real-time sports intelligence, including schedules, live scores, team and player data, and predictive betting odds across multiple sports like MLB, NFL, and NBA.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by Lumify

MCP endpoint (Streamable HTTP)

https://lumify.ai/mcp

Vendor documentation

What you can do with it

Fetch today's MLB schedule and game details
Retrieve live scores and event status updates
Access predictive betting probabilities and fair prices
Scan daily betting boards for forecasts

Tools advertised by the last live check:

list_sports
list_events
get_event
batch_get_events
query_events
get_live_score
get_odds
get_odds_history
get_stats
get_player_props
get_team_props
get_period_odds
get_splits
get_injuries
get_intelligence
list_ev
list_forecasts
list_teams
search_players
get_team
get_player
get_player_events
list_seasons
estimate_cost
resolve_player
resolve_team
resolve_event
grade_slip

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http lumify-sports-intelligence-mcp https://lumify.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add lumify-sports-intelligence-mcp --url https://lumify.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable lumify-sports-intelligence-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "lumify-sports-intelligence-mcp": {
      "url": "https://lumify.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "lumify-sports-intelligence-mcp": {
      "type": "streamableHttp",
      "url": "https://lumify.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start lumify-sports-intelligence-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "lumify-sports-intelligence-mcp": {
      "type": "http",
      "url": "https://lumify.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http lumify-sports-intelligence-mcp https://lumify.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "lumify-sports-intelligence-mcp": {
      "url": "https://lumify.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "lumify-sports-intelligence-mcp": {
      "serverUrl": "https://lumify.ai/mcp"
    }
  }
}

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