Shodan Server

burtthecoder/mcp-shodan

88

Dominant

7 tools · Source: smithery · Scanned: May 3, 2026

Score breakdown

Findability

19/25

Can AI agents discover this tool? Measures naming quality, keyword overlap with queries, and registry presence.

Clarity

31/35

Can agents understand what this tool does? Measures description quality, action verbs, usage context ("Use this when..."), and return value documentation.

Precision

23/25

Is the interface precise? Measures input schema completeness, type definitions, required fields, enums, defaults, and parameter descriptions.

Efficiency

15/15

Is the tool token-efficient? Measures description length optimization, tool count, and naming conciseness.

Optimization status

Findability

Use a specific, action-oriented tool name (e.g., search_repositories instead of search)

Expected impact: +3-5 pts

Estimated selection rate

~85%

At 88/100, AI agents select tools like this approximately 85% of the time when choosing between competing alternatives. This server is in the top tier for agent discoverability.

Based on 500-round selection simulation (Pearson r = 0.828). Methodology →

Trust Verification

0Unverified
📋Spec Verified○ Not yet
88/100Spec Score
RequirementScore ≥ 85 on ToolRank Spec Quality analysis
MethodAutomated static analysis of tool definitions, descriptions, parameters, error handling
RenewalRe-verified on every scan (weekly)
🎯Selection Verified○ Not yet
Win Rate
RequirementSelection win rate ≥ 70% in 100-round LLM tournament
MethodClaude Sonnet selects best tool for realistic tasks vs. competing servers
RenewalRe-tested monthly; expires if win rate drops below 60%
Runtime Verified○ Not yet
Status
RequirementTask success rate ≥ 90%, error rate < 5%, avg latency < 2s
MethodEnd-to-end execution tests in sandboxed environment
RenewalContinuously monitored; revoked on sustained failure

Score history

88
Mar 28
88
Mar 29
88
Mar 29
88
Mar 30
88
Apr 2
88
Apr 3
88
Apr 4
88
Apr 6
88
Apr 7
88
Apr 11
88
Apr 12
88
Apr 13
88
Apr 14
88
Apr 20
88
Apr 21
88
Apr 25
88
Apr 26
88
Apr 27
88
Apr 28
88
Apr 29
88
Apr 30
88
May 1
88
May 2
88
May 3

Tracked daily. 24 data points.

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