
SportAPI
io.github.SportApi-netv0.1.0Updated Oct 7, 2026
Live and Prematch sports odds, scores and statistics from SportAPI. Demo data without a key.
Overview
Lets an assistant look up live and prematch sports matches, scores, statistics and betting odds from SportAPI, with demo data when no key is set.
- What it does
- Provides 11 read-only tools over the Sport Line API: sports, navigation menu, countries, tournaments, live and prematch match lists, the match calendar, full match details with markets and odds, team search, top matches, top championships and account status. Output is compact JSON with odds rendered one line per market, and get_match returns 15 markets by default with a markets filter. Requests go through a snapshot cache that enforces minimum update intervals, and demo mode answers with clearly labelled example data.
- When to use it
- Use it when an assistant should answer questions about live or upcoming fixtures, scores, live statistics and betting odds, or compare markets such as 1X2 and totals. Demo mode is enough to try the tools without an account; a key is needed for current data across the sports in a subscription.
- Requirements
- Runs locally as a Python package (Python 3.10+) via uvx or pip, stdio by default with optional Streamable HTTP. Live data needs both SPORTAPI_KEY and SPORTAPI_BASE_URL; leaving both unset, or passing --demo, uses demo data. SPORTAPI_LANGUAGE is optional. The key is bound to approved IP addresses or sites, and network access to the SportAPI endpoint is required.
Installation
In SourceWeft
- Open SportAPI in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
sportapi-mcp
An MCP server that lets AI assistants (Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and other MCP clients) look up Live and Prematch matches, scores, live statistics and betting odds from SportAPI. It runs on demo data out of the box, without an API key.
[License: MIT] [Python 3.10+] [MCP] [CI]
Then ask: "Which football matches are live right now, and who is favoured?"
This MCP server is free and MIT-licensed. The SportAPI data service behind it is a commercial product: live data needs a personal API key (how to get one). Without a key, every tool answers with the example responses from the SportAPI documentation, and every result says so.
Features
- 11 read-only tools covering the Sport Line API: sports, the navigation menu, countries, tournaments, Live and Prematch match lists, the match calendar, full match details with every market, team search, top matches, top championships and the key's account status.
- Token-efficient output: compact JSON with empty fields dropped and odds rendered as one line
per market (
"W1 1.525 | X 5.08 | W2 6.15"). A detailed match can carry 200+ markets, soget_matchreturns 15 by default and accepts amarketsfilter (["1X2", "Total"]). - Polite by design: every request goes through a snapshot cache that enforces the documented minimum update intervals and never sends overlapping requests for the same data. No tool polls or fans out over matches, however often the assistant calls it.
- Demo mode with no setup, clearly labelled (
"source": "demo") so that an assistant never presents a snapshot as live data. - Actionable errors: an expired key, a sport outside the subscription, a finished match or a
game_idfrom the wrong line type come back as short explanations the assistant can act on. - Two prompts: a live betting overview for a sport and a market comparison (implied probabilities, bookmaker margin, fair odds) for one match.
- Built on the official SportAPI Python client and the official MCP Python SDK. stdio by default, Streamable HTTP optional.
What you can ask
Example conversations in demo mode (answers abridged). The assistant picks the tools itself.
"What's happening in live football right now?"
→ list_live_matches(sport_id=1)
Demo data from the SportAPI documentation, not live. 39 football matches are in play. Garuda Darwin 0:1 Darwin Olympic (76', NPL Northern Territory): Darwin Olympic are near-certain winners at 1.064. Ikonnect FA U19 0:1 Obosa U19 (33'): Obosa favoured at 1.40, the draw at 4.65. Caucaia U20 — Floresta EC U20 is goalless at 2', with Floresta slight favourites at 2.112.
"Arsenal against Coventry: how are the goal lines priced?"
→ get_match(game_id=746146992, line_type="live", markets=["Total"])
Arsenal lead 3:0 at 56' (xG 1.45 vs 0.03, shots on target 4:0). Total goals: Over 3.5 at 1.23, Over 4.5 at 2.09 / Under 4.5 at 1.81, Over 5.5 at 4.41. The market expects a fourth goal but leans against a fifth.
"When does Manchester City play next, and what are the odds?"
→ search_matches(text="Manchester"), then get_match(game_id=730321837, line_type="prematch", markets=["1X2", "Total"])
Manchester City — Bournemouth, Premier League, 23 Aug 2026 13:00 UTC. 1X2: City 1.525, draw 5.08, Bournemouth 6.15. Over 2.5 goals 1.39, under 2.5 2.72.
"What are the biggest games this weekend?" → top_matches(line_type="prematch", include_odds=True)
"Is my SportAPI key OK, and how many requests did I make this week?" → account_status() (live mode)
With a key, the same questions work for every sport in your subscription, with current data.
Install
The server is a Python package (Python 3.10+). The easiest way to run it is with
uv: uvx downloads and runs it in an
isolated environment, with no install step.
Or install it with pip and use the sportapi-mcp command instead of uvx sportapi-mcp:
The env blocks below are optional: leave them out to start in demo mode.
Claude Desktop
Edit claude_desktop_config.json (Settings → Developer → Edit Config):
Restart Claude Desktop; the SportAPI tools appear in the tools menu.
Claude Code
Cursor
Add to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):
VS Code
Add to .vscode/mcp.json. VS Code asks for the key once and stores it securely:
Windsurf and other clients
Any MCP client that can start a stdio server works: the command is uvx, the argument is
sportapi-mcp, and the environment variables are listed below. For Windsurf,
put the mcpServers block shown for Cursor into ~/.codeium/windsurf/mcp_config.json.
Streamable HTTP and Docker
The HTTP transport has no authentication of its own: keep it on localhost or behind your own gateway, because anyone who can reach it uses your key.
Configuration
Set both SPORTAPI_KEY and SPORTAPI_BASE_URL for live data, or neither for demo mode.
sportapi-mcp --demo forces demo mode even when a key is configured.
A key is bound to the server IP addresses or sites approved for it
(authentication and access).
An MCP server usually runs on your own computer, so make sure that address is allowed for the key;
account_status shows the IP address SportAPI sees.
Tools
Prompts: live_betting_overview(sport) and compare_match_markets(match, markets).
How the output maps to the API data (decimal odds, blocked selections, market IDs, sub-events,
live statistics) is described in the odds,
match and
live statistics data models.
get_match(include_pointers=true) adds each selection's oc_pointer, the code used by bet
placement systems such as the SportAPI Coupon API.
Demo mode coverage
Demo mode serves the full English example responses from the SportAPI documentation (snapshots from August–October 2026):
list_sports,get_menu,top_matches: Live and Prematch;list_countries,list_live_matches,list_prematch_matches: football (sport_id1);list_tournaments: football,country_id1;get_match:746146992(Live, Arsenal — Coventry City) and730321837(Prematch, Manchester City — Bournemouth);search_matches: "Perth" (Live) and "Manchester" (Prematch).
Anything else (other sports and matches, the calendar, esports, top_championships) returns a
message that lists what demo mode covers and how to get a key.
Update intervals
Every response is a snapshot. The server reuses a snapshot until the documented minimum interval
for that method has passed, for example 7 s for the Live match list, 5 s for a Live match and
30 s for a Prematch match. Results served from the cache carry cached_seconds. Concurrent
calls for the same data wait for the request already in flight. See the
data update guidelines.
Documentation
- Quick start
- API methods overview
- Core concepts: Live vs Prematch, IDs
- Error handling
- Sports and sport IDs
- SportAPI documentation
Building your own integration instead? Use the SportAPI Python client this server is built on.
Get an API key
Live data needs a personal API key and base URL from SportAPI. Plans start from $30/month, with a free 2-day trial.
- Telegram: @sportapinet_bot
- Website: sportapi.net
Keep the key in your MCP client's configuration or a secret store, never in a shared chat or a Git repository.
Contributing
Issues and pull requests are welcome; see CONTRIBUTING.md. Run
ruff check . && mypy && pytest before submitting.
License
MIT © 2026 SportAPI
Source: README.md at commit b22515f
Tools
0Version history
1- v0.1.0LatestOct 7, 2026

