Jobs in Sports Tech
Search open roles at sports technology companies, refreshed daily, and sign up for job alerts.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"jobs": {
"url": "https://jobsinsportstech.com/mcp"
}
}
}Remote endpoints
https://jobsinsportstech.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (3)
🟢search_jobs(query, region, function, level, remote, ...)
Search open roles at sports technology companies (sports data, betting tech, wearables, fan engagement, ticketing, performance analytics, fitness tech, clubs and leagues). Listings are refreshed daily from employers' own job feeds. Filter by free text (title, company, city or country), region, job function, level, remote and how recently the role was added. Returns each role with company, location, level, date and a link to the listing.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Free-text words to match in title, company, city or country, e.g. \"data analyst\", \"Genius Sports\", \"London\"."
},
"region": {
"type": "string",
"enum": [
"UK",
"Europe",
"North America",
"LATAM",
"APAC",
"Middle East & Africa",
"Remote",
"Global/Other"
],
"description": "Region the role is based in. \"Remote\" returns remote roles anywhere."
},
"function": {
"type": "string",
"enum": [
"Engineering",
"Data & Analytics",
"Product",
"Design",
"Commercial",
"Marketing",
"Operations",
"Trading & Risk",
"People & Finance",
"Other"
],
"description": "Job function."
},
"level": {
"type": "string",
"enum": [
"internship_or_graduate",
"junior",
"mid",
"senior",
"leadership"
],
"description": "Seniority. \"internship_or_graduate\" covers internships, graduate schemes and entry-level roles."
},
"remote": {
"type": "boolean",
"description": "true to return only remote roles."
},
"company": {
"type": "string",
"description": "Exact or partial company name."
},
"added_within_days": {
"type": "integer",
"minimum": 1,
"maximum": 90,
"description": "Only roles first seen on the board within this many days."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 25,
"default": 10,
"description": "Maximum roles to return (1–25)."
}
},
"additionalProperties": false
}🟢list_hiring_companies(region, function, limit)
List sports technology companies ranked by how many open roles they have, with how many roles each added in the last 30 days. Optionally filter by region or job function.
Input Schema
{
"type": "object",
"properties": {
"region": {
"type": "string",
"enum": [
"UK",
"Europe",
"North America",
"LATAM",
"APAC",
"Middle East & Africa",
"Remote",
"Global/Other"
],
"description": "Only count roles in this region."
},
"function": {
"type": "string",
"enum": [
"Engineering",
"Data & Analytics",
"Product",
"Design",
"Commercial",
"Marketing",
"Operations",
"Trading & Risk",
"People & Finance",
"Other"
],
"description": "Only count roles in this job function."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"default": 15,
"description": "Maximum companies to return (1–50)."
}
},
"additionalProperties": false
}⚪subscribe_to_job_alerts(email, regions, functions)
Sign an email address up for Jobs in Sports Tech job alert emails, optionally with preferred regions and job functions. Use only with the user's own email address, given by the user for this purpose. The address is stored with the stated preferences only; every email includes an unsubscribe link.
Input Schema
{
"type": "object",
"properties": {
"email": {
"type": "string",
"description": "The user's own email address."
},
"regions": {
"type": "array",
"items": {
"type": "string",
"enum": [
"UK",
"Europe",
"North America",
"LATAM",
"APAC",
"Middle East & Africa",
"Remote",
"Global/Other"
]
},
"maxItems": 8,
"description": "Preferred regions (optional)."
},
"functions": {
"type": "array",
"items": {
"type": "string",
"enum": [
"Engineering",
"Data & Analytics",
"Product",
"Design",
"Commercial",
"Marketing",
"Operations",
"Trading & Risk",
"People & Finance",
"Other"
]
},
"maxItems": 10,
"description": "Preferred job functions (optional)."
}
},
"required": [
"email"
],
"additionalProperties": false
}Community
Evidence