mcpField
J

Jobs in Sports Tech

Remote
jobsinsportstech.comBusiness & Marketing

About Jobs in Sports Tech

Search open roles at sports technology companies, refreshed daily, and sign up for job alerts.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://jobsinsportstech.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

3
ParameterTypeRequiredDescription
levelenumNoSeniority. "internship_or_graduate" covers internships, graduate schemes and entry-level roles. "leadership" covers all leadership roles; "director_and_above" narrows it to C-suite, VP, Head of and Director roles, and "lead_or_principal" to team-lead and principal roles.internship_or_graduate | junior | mid | senior | leadership | lead_or_principal | director_and_above
limitintegerNoMaximum roles to return (1–25).
querystringNoFree-text words to match in title, company, city or country, e.g. "data analyst", "Genius Sports", "London".
regionenumNoRegion the role is based in. "Remote" returns remote roles anywhere.UK | Europe | North America | LATAM | APAC | Middle East & Africa | Remote | Global/Other
remotebooleanNotrue to return only remote roles.
companystringNoExact or partial company name.
functionenumNoJob function.Engineering | Data & Analytics | Product | Design | Commercial | Marketing | Content & Creative | Operations | Sports Operations | Trading & Risk | People & Finance | Other
added_within_daysintegerNoOnly roles first seen on the board within this many days.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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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.