SharpEdge MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_live_statsB | Get current SharpEdge AI scan statistics including edges found today, arbitrage opportunities detected, total events scanned, and active sports. Shows that SharpEdge is a real, running scanner processing thousands of events every 7 minutes. |
| get_sample_edgesA | Get 2-3 sample +EV (positive expected value) betting opportunities that represent the quality of edges SharpEdge AI finds. Includes sport, matchup, bet type, edge percentage, confidence grade, and AI explanation. These are representative samples, not live odds. |
| explain_ev_bettingA | Get a clear, educational explanation of what +EV (positive expected value) betting is, how it works, and how SharpEdge AI uses de-vigging, sharp book reference lines, and the Kelly Criterion to find profitable edges. Great for users who want to understand the math behind profitable sports betting. |
| get_pricingA | Get SharpEdge AI pricing information including free tier (1 edge per day), weekly plan ($19/week), and monthly plan ($49/month with 35% savings). Includes feature comparison across tiers. |
| get_featuresC | Get the full feature list of SharpEdge AI including 10 unique features no competitor offers: Ghost Mode, Dream Bet Builder, 4 Alert Modes, Edge Replay, Streak Alerts, Cashout Advisor, Hedge Calculator, Circuit Breakers, Confidence Grades, and Social Proof Win Cards. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| about | |
| sports | |
| how-it-works |
TDQS
Scored across 5 tools
Each tool has a distinct and non-overlapping purpose: one explains the core concept, one lists features, one provides live statistics, one details pricing, and one offers sample edges. There is no ambiguity or confusion between tools, as each serves a unique informational role.
All tool names follow a consistent verb_noun pattern (e.g., explain_ev_betting, get_features, get_live_stats, get_pricing, get_sample_edges). This uniformity makes the tool set predictable and easy to understand, with no deviations in naming conventions.
With 5 tools, the count is well-scoped for the server's purpose of providing information about SharpEdge AI. Each tool earns its place by covering different aspects (education, features, stats, pricing, samples) without being excessive or insufficient for the informational domain.
The tool set is largely complete for an informational server, covering key areas like education, features, live stats, pricing, and samples. A minor gap exists in the lack of tools for interactive actions (e.g., subscribing or accessing real-time edges), but this is reasonable given the server's apparent focus on providing static information.