DunkAPI vs Scrivener MCP
A side-by-side look at the DunkAPI and Scrivener MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
D
DunkAPISportsNBA, WNBA and college basketball data: play-by-play, shot locations, box scores, odds. REST and MCP.48FairAuth: api key requiredVerdict: choose DunkAPI for sports work; choose Scrivener MCP for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
DChoose DunkAPI when
- You need dedicated capabilities in the Sports domain.
- Its auth model fits you: API key required.
- You have the keys it needs:
DUNKAPI_API_KEY. - You want tools like
list_teams, search_players, list_games.
Choose Scrivener MCP when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | D DunkAPI | |
|---|---|---|
| Category | Sports | Knowledge & Memory |
| Quality signal | 48/100 · Fair | 61/100 · Good |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | API key required | No auth required |
| Pricing | Freemium | Free |
| Required env vars | DUNKAPI_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 67 |
| Directory activity | 0 views 0 installs 0 upvotes | 18 views 12 installs 6 upvotes |
| Tools | 18 | Not listed |
| Full listing | View DunkAPI | View Scrivener MCP |
Tools & capabilities
DunkAPI tools 18
list_teamsTeam ids, abbreviations and colours for a seasonsearch_playersFind players by namelist_gamesGames with scores by season, date, range or teamget_scheduleUpcoming games with the median line across sportsbooksget_standingsStandings from every final game: overall, conference, home, away, last 10get_injuriesThe latest injury report: status, injury and expected return (NBA, WNBA)get_ratingsOur team Elo ratings, rankedget_gameOne game: both box scores, every player's line, each book's line, win probabilityget_playerProfile, per-season averages and shooting splits, last 10 gamesget_player_gamesA player's full game logget_leadersSeason leaders per game, by percentage or in totalget_team_statsPace, offensive, defensive and net rating, and the four factors- +6 more on the listing page
Scrivener MCP tools
No tool names declared yet. Check the project README from the listing page.
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.
DunkAPI
No confirmed install command for DunkAPI yet — follow the setup steps linked from its listing page rather than a guessed package name.
Scrivener MCP
{
"mcpServers": {
"writerslogic-scrivener-mcp": {
"command": "npx",
"args": [
"-y",
"scrivener-setup"
]
}
}
}
Frequently asked questions
DunkAPI is categorized under Sports and uses an install path we have not confirmed yet. Scrivener MCP belongs to Knowledge & Memory and uses a local stdio subprocess. Pick DunkAPI for sports work and Scrivener MCP for knowledge & memory.
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. DunkAPI has no confirmed install command yet — follow its own setup instructions.
DunkAPI is listed as freemium — a free tier with paid plans. Auth: api key required. Scrivener MCP is listed as free. Auth: no auth required. 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 dunkapi and writerslogic-scrivener-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, DunkAPI has a quality signal of 48/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Scrivener MCP has 61/100 (Good) with 18 views, 12 installs and 67 GitHub stars.
