Sportradar MCP

Live

API KEY

ANALYTICS

Analytics

Connect to Sportradar to access comprehensive sports data — live scores, player stats, team rosters, and historical records across major leagues and tournaments.

  • Acts as the user: Every tool call runs as the authorizing user. Access and audit trail stay intact.
  • Credentials stay vaulted: AES-256 encrypted, resolved at request time, never stored in LLM context.
  • Scoped before every call: Per-user permissions enforced automatically. 90-day audit trail included.
Sportradar MCP
agent · Acme Q3
Run
Fetch in Sportradar MCP
S
sportradarmcp_fetch
85ms
Sportradar MCP agent
Get detailed information about a sportradar guide page by its id..
Sources: Sportradar MCP
sportradarmcpmcp
1 tool call
18:29
Message Claude...

Sportradar MCP tools for AI agents

CALL ANY TOOL
12 tools covering get, search, list.
sportradarmcp_fetch
Get detailed information about a sportradar guide page by it
Get detailed information about a sportradar guide page by its id.
Parameters
Name
Type
Required
Description
id
string
Required
The ID of the guide to retrieve. Must use `search` tool to get the ID.
sportradarmcp_get-coverage
Find the coverage level for a sportradar basketball api.
sportradarmcp_get-endpoint
Get detailed information about a specific api endpoint, incl
sportradarmcp_list-endpoints
List all api paths and http methods for a spec, organized by
sportradarmcp_list-specs
List all available sportradar openapi specs.
sportradarmcp_search
Search sportradar guide pages by query and return matching r
sportradarmcp_search-endpoints
Search through api paths, operations, and parameters to disc
Build your Agent
Same auth pattern across every framework.
Python · LlamaIndex
from langchain_mcp_adapters.client import MultiServerMCPClient
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="sportradarmcp")

mcp = MultiServerMCPClient({
"sportradarmcp": {
"url": "https://mcp.scalekit.com/sportradarmcp",
"headers": {"Authorization": "Bearer " + token}
}
})
tools = await mcp.get_tools()
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "sportradarmcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/sportradarmcp
// Pass: Authorization: Bearer + token
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "sportradarmcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/sportradarmcp
// Pass: Authorization: Bearer + token
from google.adk.agents import LlmAgent
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="sportradarmcp")
# Connect to MCP at https://mcp.scalekit.com/sportradarmcp
# Pass: Authorization: Bearer + token
Try these prompts
Paste any prompt into your agent to get started.
Get started
Copy the prompt
Copied
Search Sportradar guide pages by query and return matching results with titles and excerpts?
Copy the prompt
Copied
Search through API paths, operations, and parameters to discover relevant endpoints?
Advanced
Copy the prompt
Copied
List all available Sportradar OpenAPI specs?
Copy the prompt
Copied
List all API paths and HTTP methods for a spec, organized by path?
SEE HOW AUTH WORKS
User authorises once. Every agent call after uses their token with scope enforcement.
1
Authorize
Your user connects
Sportradar MCP
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
Sportradar MCP
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
Sportradar MCP
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
Sportradar MCP
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
See the same per-user auth pattern across other connectors.
SALES
Deal intelligence agent
Combine Gong, Attio, and Slack signals to surface deal risks and next-best actions. Updated after every call.
ENGINEERING
Engineering standup agent
Aggregate GitHub and GitLab activity, link to Jira, and post a daily standup digest to Slack. No async updates.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
Other connector libraries treat auth as a demo afterthought.
01.
Shared tokens break per-user analytics
A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
One connector today. Ten tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions

Does the agent access Sportradar as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Sportradar API key stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Sportradar?
Yes. Pass a tool name filter to listScopedTools so the analytics agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Sportradar.

What happens when a user revokes Sportradar access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Which sports data APIs can the agent browse?
Only packages licensed to the authorizing user's Sportradar account. Spec search and endpoint discovery respect the user's coverage entitlements at request time.

Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""sportradarmcp"": {
""url"": ""https://mcp.scalekit.com/sportradarmcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.sportradarmcp]
url = ""https://mcp.scalekit.com/sportradarmcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""sportradarmcp"": {
""url"": ""https://mcp.scalekit.com/sportradarmcp"",
""type"": ""http""
}
}
}