SharpEdge MCP Server
Connects AI assistants to SharpEdge AI to discover +EV sports betting opportunities and arbitrage edges across major sportsbooks. It provides real-time scanner statistics, sample betting edges, and educational content on advanced betting concepts like the Kelly Criterion.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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therealjlc1
Source: Glama
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
get_live_statsGet 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_edgesGet 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_bettingGet 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_pricingGet 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_featuresGet 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.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
5/5 tools missing one or more hints — get_live_stats (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_sample_edges (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); explain_ev_betting (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
Only 0/5 tool handlers declare input schemas (0%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
Only 0/5 tool handlers wrap calls in try/catch (0%)
Wrap each tool handler body in try/catch and return a structured error response.
Tests exist
No test files found
Add tests that exercise each declared tool.
Production dependencies are patched
0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.12.1 (high), @modelcontextprotocol/sdk@1.12.1 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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