jk-mcp-wsl
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@jk-mcp-wsl What are the current WSL standings?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
jk-mcp-wsl
MCP server that gives Claude live access to Women's Super League (England) data — teams, matches, standings, rosters, and schedule-strength analytics — via the ESPN public API.
Table of Contents
Related MCP server: jk-mcp-usls
Overview
AI assistants like Claude are knowledgeable, but they have a hard cutoff date — they cannot tell you today's Women's Super League standings, last night's scores, or which teams are currently on top. This project fixes that.
It is an MCP server — a plugin that gives Claude direct access to live Women's Super League data: scores, standings, rosters, and derived schedule-strength analytics. Once installed, you can ask Claude natural-language questions about the WSL and get accurate, up-to-date answers. No subscription, no API key, and no programming required to use it.
The Women's Super League is the top flight of English women's football. In 2024 it was spun out of The FA into its own independent operating company (WSL Football Ltd), running the WSL and WSL 2 as a fully professional 14-team pyramid. This server wraps the ESPN public JSON feed, which is the cleanest freely-accessible source for the league. Rich per-player and team-season stats — historically served via api-sdp.wslfootball.com — are deferred to v2 pending discovery of the correct stats/players category enum.
Features
The v1 surface is eleven read-only, idempotent tools split across two tiers.
ESPN-backed (8)
Tool | Description |
| List all 14 clubs with IDs and abbreviations |
| Details for a specific team |
| Team's active roster — jersey, position, age, citizenship |
| Match scores for a single day, a date range, or the current matchweek |
| Every match for a team in the current season — past + upcoming |
| One match's full details — score, venue, attendance, goals, cards, subs |
| Current standings — single 14-team table ordered by points |
| Recent Women's Super League news articles |
Derived analytics (3)
Pure functions over live standings + team schedules, exposing schedule-strength context the raw table does not.
Tool | Description |
| Team's average opponent points-per-game across matches already played |
| Team's W-L-T split across current top / middle / bottom standings tiers |
| Team's raw PPG alongside an opponent-quality-adjusted PPG |
Roadmap
Deferred to v2+:
Player leaderboards, team season stats, and per-player heatmaps via the league's own SDP tier (
api-sdp.wslfootball.com/stats/players) — thecategoryenum required to hit the endpoint has not been discovered from public traffic yetFA Cup and Continental Cup fixtures
Playoff / relegation bracket rendering
Related competitions (UEFA Women's Champions League match-day fixtures for WSL clubs)
Requirements
Installation
git clone https://github.com/jedi-knights/jk-mcp-wsl.git
cd jk-mcp-wsl
uv syncUsage
Run the server in stdio mode (the default — used by Claude Code and Claude Desktop):
uv run python -m wsl.serverRun in HTTP mode (for networked or deployed access):
MCP_TRANSPORT=streamable-http uv run python -m wsl.serverExample prompts
Standings, scores, rosters:
Who is leading the WSL right now?
Show me every WSL result from this past weekend.
Who is on Arsenal's roster?
When does Aston Villa play next?
Schedule strength:
Which WSL side has played the toughest schedule so far?
Show me Manchester United's record against the current top 3 clubs.
Compare Chelsea and Manchester City on adjusted points-per-game.
Configuration
All configuration is via environment variables. None are required for local use.
Variable | Default | Description |
|
| Transport mode: |
|
| Bind address (HTTP transport only) |
|
| TCP port (HTTP transport only) |
|
| URL path (HTTP transport only) |
|
| ESPN API base URL |
|
|
|
| unset | Bootstrap the OpenTelemetry SDK |
| unset | Require RS256 bearer tokens on streamable-http |
| unset | Auth-server origin (required when auth is on) |
| unset | This server's public URL for the |
Claude Code
Install from your local clone globally so the server is available in every project:
claude mcp add --scope user wsl -- uv run --directory /path/to/jk-mcp-wsl python -m wsl.serverReplace /path/to/jk-mcp-wsl with the absolute path to your clone. Verify with claude mcp list.
Drop --scope user to register only for the current project, or commit a .mcp.json to the repo root for collaborators:
{
"mcpServers": {
"wsl": {
"command": "uv",
"args": ["run", "--directory", "/path/to/jk-mcp-wsl", "python", "-m", "wsl.server"]
}
}
}Claude Desktop
Add the following to your Claude Desktop configuration file.
Location:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"wsl": {
"command": "uv",
"args": [
"run",
"--directory", "/path/to/jk-mcp-wsl",
"python", "-m", "wsl.server"
]
}
}
}If uv is not on Claude Desktop's PATH, use the absolute path (which uv will show it). Fully quit and relaunch Claude Desktop after saving — a window close is not enough.
Docker
Build the image:
docker build -t jk-mcp-wsl:latest .Run in stdio mode (for MCP clients that spawn a subprocess):
docker run -i --rm jk-mcp-wsl:latestRun in HTTP mode:
docker run --rm -p 8000:8000 \
-e MCP_TRANSPORT=streamable-http \
jk-mcp-wsl:latestDevelopment
Install
uv syncInvoke tasks
All common workflows are invoke tasks. Run uv run inv --list to see everything.
Task | Alias | Description |
|
| Run ruff linter and format check |
|
| Auto-fix lint violations and reformat |
|
| Run the full test suite |
|
| Run tests with coverage report (threshold: 90%) |
|
| Check cyclomatic complexity (max 7) |
|
| Build wheel and sdist into |
|
| Build the Docker image |
|
| Remove build and coverage artifacts |
Project structure
src/wsl/
├── server.py # entry point, transport selection, logging setup
├── adapters/
│ ├── inbound/
│ │ ├── mcp_adapter.py # FastMCP server, health endpoints, tool registration
│ │ ├── formatters.py # domain → LLM-readable text
│ │ ├── authorization.py # inbound authz port implementations
│ │ └── tools/
│ │ ├── espn.py # 8 ESPN-backed tools
│ │ └── analytics.py # 3 schedule-strength analytics tools
│ └── outbound/
│ ├── espn_adapter.py # ESPN HTTP client
│ ├── parsers.py # ESPN JSON → domain models
│ ├── retry_adapter.py # transient-failure retry decorator
│ └── caching_adapter.py # in-process TTL cache
├── application/
│ ├── service.py # WSLService — use cases, orchestration
│ ├── _helpers.py # input validation
│ └── _analytics_helpers.py # pure math for schedule-strength tools
├── domain/
│ ├── models.py # Team, Match, Standing, etc.
│ └── exceptions.py # WSLNotFoundError, UpstreamAPIError
├── ports/
│ ├── inbound.py # Authorizer protocol
│ └── outbound.py # WSLAPIPort protocol
├── observability/ # OpenTelemetry bootstrap (opt-in)
└── security/ # JWKS token verifierThe dependency direction flows inward: adapters → ports → domain. Nothing in domain/ imports from adapters or a framework.
Contributing
Fork the repository and clone your fork
Create a feature branch:
git checkout -b feature/your-featureMake your changes following the existing patterns (hexagonal architecture, TDD, conventional commits)
Verify the full check suite passes:
uv run inv lint && uv run inv check-complexity && uv run inv coverageOpen a pull request against
main
All CI checks (lint, complexity, tests, coverage ≥ 90%) must pass before merge.
License
MIT — see LICENSE.
Available Tools
11 toolsget_adjusted_points_per_gameARead-onlyIdempotent
Get a team's raw points-per-game alongside an opponent-quality-adjusted PPG.
Adjusted PPG scales raw PPG by avg_opponent_ppg / league_average_ppg,
so values above raw PPG indicate the team has earned points against a
tougher schedule than league average.
Args: team_id: ESPN numeric team ID.
Inputs: team_id (required). Returns: result
get_match_detailsARead-onlyIdempotent
Get detailed information for a single Women's Super League match.
Returns the score, venue, attendance, and a chronological list of key events (goals, substitutions, cards). Use the match ID returned by get_scoreboard or get_team_schedule.
Args: match_id: ESPN numeric event ID (e.g. "401853883").
Inputs: match_id (required). Returns: result
get_newsARead-onlyIdempotent
Get recent Women's Super League news articles.
Returns each article's headline, publication date, summary, and link to the full ESPN story.
Args: limit: Maximum number of articles to return (default 10).
Inputs: limit. Returns: result
get_results_by_opponent_tierARead-onlyIdempotent
Get a team's W-L-T splits against current top-tier, middle, and bottom-tier teams.
Tiers are derived from the live league standings: top tier_size,
bottom tier_size, and everyone in between. Lets you ask "how does
this team do against the top of the table?" without scanning every
result manually.
Args: team_id: ESPN numeric team ID. tier_size: Number of teams in each of the top and bottom tiers. Defaults to 5. Must be at least 1, and 2*tier_size must not exceed the league size.
Inputs: team_id (required), tier_size. Returns: result
get_rosterARead-onlyIdempotent
Get the active roster for an Women's Super League team.
Returns each player's jersey number, name, position, citizenship, and age. Use the team ID returned by get_teams.
Args: team_id: ESPN numeric team ID (e.g. "18418" for Atlanta United FC).
Inputs: team_id (required). Returns: result
get_scoreboardARead-onlyIdempotent
Get Women's Super League match scores and status for a date or date range.
With no arguments, returns matches for the current matchweek. With
date only, returns matches for that single day. With both date
and end_date, returns every match in the inclusive range.
Args:
date: Optional start date in YYYYMMDD format (e.g. "20260418").
end_date: Optional end date in YYYYMMDD format. Requires date.
Inputs: date, end_date. Returns: result
get_standingsARead-onlyIdempotent
Get the current Women's Super League standings.
Returns the 14-team table ordered by points descending, with win/loss/tie record, goals for, goals against, and goal differential.
Inputs: no named parameters. Returns: result
get_strength_of_scheduleARead-onlyIdempotent
Get a team's strength of schedule based on opponents already faced.
Returns the average current points-per-game of every opponent the team has played in completed matches, plus a per-opponent breakdown. Useful early in the season for "who has played the tougher schedule so far?" questions.
Args: team_id: ESPN numeric team ID (e.g. "18418" for Atlanta United FC).
Inputs: team_id (required). Returns: result
get_teamARead-onlyIdempotent
Get details for a specific Women's Super League team.
Returns full team information including display name, abbreviation, and location. Use the numeric ID returned by get_teams.
Args: team_id: ESPN numeric team ID (e.g. "18418" for Atlanta United FC).
Inputs: team_id (required). Returns: result
get_teamsARead-onlyIdempotent
Get all active Women's Super League teams.
Returns a numbered list of teams with their ID, full name, abbreviation, and home city. Use the ID or abbreviation with get_team to retrieve detailed information about a specific team.
Inputs: no named parameters. Returns: result
get_team_scheduleARead-onlyIdempotent
Get all matches for a single Women's Super League team in the current season.
Returns scheduled, in-progress, and completed matches for the team — with opponent, date, score (if played), and status.
Args: team_id: ESPN numeric team ID (e.g. "18418" for Atlanta United FC).
Inputs: team_id (required). Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 11 tools
Each tool targets a distinct resource (standings, teams, team details, scoreboard, roster, match details, schedule, news, advanced stats) with clear boundaries. Even the analytical tools (strength of schedule, tier splits, adjusted PPG) are distinct in purpose.
All tools follow the same get_noun or get_phrase pattern using snake_case. The names clearly describe the return type (standings, teams, scoreboard) and are uniformly prefixed with 'get_'.
11 tools is well-scoped for a sports data server covering league tables, teams, matches, rosters, news, and derived analytics. Each tool serves a unique purpose without bloat.
The surface covers the main data consumers expect: standings, teams, rosters, matches, schedules, news, and advanced statistics. Minor gaps exist (e.g., no player-specific stats, no historical season data), but these are not critical for the apparent purpose.
Maintenance
Related MCP Connectors
Hosted MCP server for live public-data APIs and Skills for AI agents.
ESPN MCP — keyless multi-sport live scores, teams, and news via ESPN's public site API.
Sports MCP — wraps TheSportsDB API (free tier, test key 3, no auth required)
Hosted X (Twitter) MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
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