World Cup 2026 Tour
LocalAbout World Cup 2026 Tour
World Cup 2026 Tour is an MCP server for assistants and fans looking up the 2026 FIFA World Cup schedule. It provides match data in requested time zones and exposes a public dataset without requiring an API key.
Key features
- 01Retrieve all fixtures by time zone
- 02Filter matches by stage, group, or team
- 03Find the next upcoming match
- 04Look up a match by public ID
- 05Fetch Dataset JSON-LD and fixtures
Use cases
- 01Check the next match in local time
- 02List a team's group-stage fixtures
- 03Retrieve a fixture by match ID
- 04Fetch schedule data for citation
MCP support
Exposes schedule metadata, fixture queries, next-match lookup, single-match lookup, and public Dataset JSON-LD to MCP clients. It uses stdio transport and requires no API key.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
docker run -i --rm ghcr.io/abaiii168/world-cup-2026-mcp-server:0.1.1Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
ghcr.io/abaiii168/world-cup-2026-mcp-server:0.1.1stdioTools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEWorld Cup 2026 MCP Server
Free Model Context Protocol server for the World Cup 2026 Tour public schedule API.
It lets AI assistants fetch the 2026 FIFA World Cup schedule, next match, one match by id, and the public Dataset JSON-LD without needing an API key.
MCP Registry name: io.github.abaiii168/world-cup-2026
Install
git clone https://github.com/abaiii168/world-cup-2026-mcp-server.git
cd world-cup-2026-mcp-server
npm install
npm run check
Claude Desktop / MCP Client Config
{
"mcpServers": {
"world-cup-2026": {
"command": "node",
"args": ["/absolute/path/to/world-cup-2026-mcp-server/src/index.js"]
}
}
}
OCI / Registry Metadata
This repo includes server.json and a Dockerfile with the required io.modelcontextprotocol.server.name annotation for publishing through GitHub Container Registry and the official MCP Registry.
OCI image target:
ghcr.io/abaiii168/world-cup-2026-mcp-server:0.1.0
Local Docker smoke check:
docker build -t world-cup-2026-mcp-server:local .
docker run --rm -i world-cup-2026-mcp-server:local
Tools
get_world_cup_2026_metadata- API metadata, attribution, endpoint links, and schema notes.get_world_cup_2026_matches- all fixtures in a requested IANA time zone, optionally filtered by stage, group, team, and limit.get_world_cup_2026_next_match- nearest upcoming fixture in a requested IANA time zone.get_world_cup_2026_match- one fixture by public match id.get_world_cup_2026_dataset- Dataset JSON-LD plus all 104 public fixtures in UTC.
Example Prompts
- "What is the next World Cup 2026 match in London time?"
- "List Mexico's World Cup 2026 group-stage matches in Mexico City time."
- "Give me match 1 with a calendar link."
- "Fetch the World Cup 2026 fixture dataset for citation."
Data Source
This MCP server wraps the free public endpoints from World Cup 2026 Tour:
- App: https://ay-worldcup2026.zeabur.app/
- API docs: https://ay-worldcup2026.zeabur.app/developers
- Dataset: https://ay-worldcup2026.zeabur.app/dataset
- Dataset JSON-LD: https://ay-worldcup2026.zeabur.app/dataset.json
- OpenAPI: https://ay-worldcup2026.zeabur.app/openapi.json
- Hugging Face AI prediction Space: https://huggingface.co/spaces/abaiii168/world-cup-2026-ai-predictions
Please cache responsibly and link back to the app when using the free data.
Related AI Prediction Space
This MCP server focuses on factual schedule, calendar, and dataset access. For a public, shareable AI prediction demo surface, use the Hugging Face Space:
- AI prediction Space: https://huggingface.co/spaces/abaiii168/world-cup-2026-ai-predictions
- Tonight's Spain vs Cape Verde AI prediction entry: https://ay-worldcup2026.zeabur.app/?match=14&oracle=1&utm_source=mcp_readme&utm_medium=ai_prediction&utm_campaign=wc26_spain_cape_verde
Helpful agent prompt:
Use the World Cup 2026 MCP schedule tools to find the next match in my local time, then share the public AI prediction Space for fans who want a playful prediction result.
Notes
- No API key is required.
- The server uses stdio transport.
- Live scores and betting/odds are intentionally not exposed through this MCP server.
- Set
WC26_API_BASEonly if you are testing a compatible self-hosted API.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.