Cloudbet

Cloudbet Sports MCP Server

The Cloudbet Sports MCP server is a lightweight, single‑file implementation of the Model Context Protocol that exposes sports betting data and tools from Cloudbet’s public API to AI assistants. By converting the RESTful endpoints of Cloudbet into MCP‑compatible methods, it allows Claude and other AI agents to query live event information, market odds, and betting opportunities directly within their natural language workflows.

This server addresses the challenge of integrating real‑time sports data into conversational AI. Developers building betting analytics, recommendation engines, or automated trading bots often need to fetch up‑to‑date event and market information. Traditional approaches require manual API handling, authentication, and data parsing—tasks that can distract from core logic. The Cloudbet MCP server abstracts these details, presenting a clean JSON‑RPC interface that the AI can invoke as if it were calling a native function. The result is a rapid, declarative way to pull dynamic sports data without writing boilerplate code.

Key capabilities of the server include:

• Tool discovery – A method returns a catalog of available operations such as searching events by competition or retrieving market odds. This makes it easy for an AI to introspect what actions are possible.
• Event and market retrieval – Methods like allow the assistant to query all current or upcoming matches in a specified league, returning structured details that can be fed into downstream models.
• Extensibility – Because the server follows the MCP specification, new Cloudbet endpoints can be added with minimal changes. Each tool is defined in plain JSON, making it straightforward to evolve the API surface.

Typical use cases include:

• Betting recommendation systems – An AI assistant can ask the server for the latest odds in a particular competition, then analyze them against historical data to suggest profitable bets.
• Sports analytics dashboards – Developers can embed the MCP server in a chatbot that provides live updates on match statistics or market movements, enriching user interactions with real‑time data.
• Automated trading pipelines – By chaining MCP calls with other AI tools, a bot can monitor odds changes, calculate implied probabilities, and trigger automated wagers through separate betting platforms.

Integration into AI workflows is seamless: the assistant sends a JSON‑RPC request, receives structured output, and can immediately use that data in its next generation step or pass it to another tool. The server’s compliance with the MCP spec guarantees that any client capable of speaking MCP will understand and use its capabilities without custom adapters.

In summary, the Cloudbet Sports MCP server transforms a conventional sports betting API into an AI‑friendly toolset. It removes friction for developers, enables rapid experimentation with live betting data, and opens the door to sophisticated AI‑driven sports analytics applications.