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Sports betting MCP: MCP server, setup and security

Sports betting MCP is an open-source MCP server published on GitHub that lets an AI agent review betting odds injuries and line movements with visual bet slips. Its repository has 5 stars and its last commit is from April 8, 2026 and it is licensed under MIT.

Last commit 7 months ago

What Sports betting MCP does

According to its repository: “Sports betting picks, odds, injuries and line movement for NBA, NHL, NCAAB and MLB, with visual bet slip cards showing edges.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Sports betting MCP is listed under Sports, a category of 27 servers in the directory, where it ranks #22 by stars.

Topics declared by the repository: ai-agents, claude, odds, picks, python, sports-betting.

Installing and connecting Sports betting MCP

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python. Listed systems: macOS, Windows, Linux.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Sports betting MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 11, 2026, the seang1121/sports-betting-mcp repository has 5 stars and 3 forks, with 1 open issues. It has more stars than 13% of the servers in the directory. Last change 7 months ago. Version published in the registry: 1.0.0 (March 14, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Strava MCP (r-huijts)Strava MCP (r-huijts) : 501501Trainingpeaks MCPTrainingpeaks MCP : 185185Fantasy Football ManagerFantasy Football Manager : 8888Mlb api MCPMlb api MCP : 5959ArifOS — Constitutional AI KArifOS — Constitutional AI K : 5454Mi fitness data bridgeMi fitness data bridge : 5151MCP sports hubMCP sports hub : 4040Suunto MCPSuunto MCP : 3535Sports betting MCPSports betting MCP : 55
GitHub stars of the most followed servers in the category (log scale); Sports betting MCP in orange. Checked October 25, 2026.

Verdict

Sports betting MCP is still a modest project: read its code and compare it with the alternatives before using it.

Strengths

  • Listed in the official MCP registry
  • Permissive licence (MIT)

Limitations

  • No commit for 7 months
  • Few visible users

Frequently asked questions

How do I install Sports betting MCP?

Sports betting MCP is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of seang1121/sports-betting-mcp.

Is Sports betting MCP free?

The code is published under the MIT licence and can be used free of charge.

Is Sports betting MCP safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by seang1121 on GitHub. Check who maintains it before giving it access.

What are the alternatives to Sports betting MCP?

In the same category: Fantasy Football Manager, Trainingpeaks MCP, MCP sports hub, and Lumify Sports Intelligence. Fantasy Football Manager and Trainingpeaks MCP score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score