Sports Game Odds vs Sportsdataio
A side-by-side look at the Sports Game Odds and Sportsdataio MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Sports Game Odds for sports work as a local process; choose Sportsdataio for sports as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Sports Game Odds when
- You need dedicated capabilities in the Sports domain.
- You prefer a local stdio subprocess transport.
- You want tools like
sgo_events, sgo_event_odds.
Choose Sportsdataio when
- You need dedicated capabilities in the Sports domain.
- You prefer a local stdio subprocess transport.
- You want tools like
sportsdataio_injuries, sportsdataio_projections, sportsdataio_player_props.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Sports | Sports |
| Quality signal | 59/100 · Good | 60/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 2 | 3 |
| Full listing | View Sports Game Odds | View Sportsdataio |
Tools & capabilities
Sports Game Odds tools 2
sgo_eventsList upcoming <league> games with odds. Returns scheduled events for a league (NFL, NBA, MLB, NHL, EPL, etc.) with team names, start time, status, and eventIDs to fetch full odds. Example: sgo_events({ leagueID: "NFL", _apiKey: "your-key" })sgo_event_oddsGet all odds & player props for a specific game. Returns moneyline, spread, and total markets plus player props for a single event, with prices across sportsbooks. Look up the eventID first via sgo_events. Example: sgo_event_odds({ eventID: "abc123", _apiKey: "your-key" })
Sportsdataio tools 3
sportsdataio_injuriesCurrent injuries in the NFL / NBA / MLB / NHL / CFB / CBB — returns each injured player with team, position, status (Out, Questionable, etc.) and the body part affected. Note: a free SportsDataIO trial key returns scrambled sample data, not real injuries. Example: sportsdataio_injuries({ league: "nfl", _apiKey: "your-key" })sportsdataio_projectionsProjected player stats for a slate — fantasy points plus key projected stats per player. Daily sports (NBA / MLB / NHL / CBB) take a `date`; weekly sports (NFL / CFB) take `season` + `week`. Note: a free trial key returns scrambled sample data. Example: sportsdataio_projections({ league: "nba", date: "2026-01-15", _apiKey: "your-key" }) or sportsdataio_projections({ league: "nfl", season: "2025REG", week: 5, _apiKey: "your-key" })sportsdataio_player_propsPlayer prop bets for a date — available betting markets and outcomes (over/under totals, payouts) across NFL / NBA / MLB / NHL / CFB / CBB. Requires a SEPARATE SportsDataIO Odds/Props API key (the Props warehouse is billed apart from Stats/Projections). Note: a free trial key returns scrambled sample data. Example: sportsdataio_player_props({ league: "nba", date: "2026-01-15", _apiKey: "your-odds-key" })
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Sports Game Odds
{
"mcpServers": {
"sports-game-odds": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-sports-game-odds"
]
}
}
}
Sportsdataio
{
"mcpServers": {
"sportsdataio": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-sportsdataio"
]
}
}
}
Frequently asked questions
Sports Game Odds is categorized under Sports and uses a local stdio subprocess. Sportsdataio belongs to Sports and uses a local stdio subprocess. Pick Sports Game Odds for sports work and Sportsdataio for sports.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Sports Game Odds has no declared pricing — check the project's own site. Sportsdataio has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add sports-game-odds and sportsdataio as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Sports Game Odds has a quality signal of 59/100 (Good) with 1 views, 0 installs and 1 GitHub stars. Sportsdataio has 60/100 (Good) with 2 views, 0 installs and 0 GitHub stars.