good-sport
Server Details
Sports-analytics research assistant that grades its own model and reports the losses. $9.99/mo.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
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Usage analytics
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Tool Definition Quality
Average 4.5/5 across 12 of 12 tools scored. Lowest: 3.8/5.
Most tools have distinct purposes with detailed descriptions. However, 'live_props' and 'prop_slate' are very similar, both showing props with model edge, which could cause confusion. Additionally, 'predictions' also includes props, adding overlap. Minor ambiguity exists.
Tool names use a mix of verb+noun, noun+noun, and adjective+noun patterns. While each name is descriptive, there is no consistent naming convention across the set (e.g., analyze_prop vs. prop_slate vs. live_props). This inconsistency could make it harder for an agent to infer tool purpose from name alone.
With 12 tools covering a diverse range of sports prediction and analysis tasks (model predictions, prop analysis, parlay building, performance evaluation, data quality, etc.), the count is well-scoped. Each tool serves a clear purpose, and there is no bloat or redundancy that makes the set unwieldy.
The tool set covers the core functionality one would expect from a sports prediction server: model predictions for games and props, edge analysis, parlay construction, performance tracking, data quality monitoring, and market movement detection. The inclusion of a health check and draft advisor adds value. However, the set is heavily focused on Underdog/PrizePicks and Kalshi, and lacks coverage for other sportsbook types (e.g., traditional spread betting tools). Minor gaps exist.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
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For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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