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vantagemcp

vantage-mcp

by vantagemcp
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Python
Hybrid

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.7/5.0

Scored across 9 tools

Disambiguation5/5

Each tool has a clearly distinct purpose, and the descriptions explicitly cross-reference related tools to guide selection. Overlaps such as find_citation_leaders vs. find_cited_questions and analyze_citation_structure vs. analyze_citation_gap are well differentiated by starting point and output.

Naming Consistency5/5

All tool names use consistent snake_case with a predictable verb_noun or verb_noun_qualifier pattern, e.g. find_citation_leaders, analyze_citation_structure, check_prompt_coverage. The batch variant is clearly named as a suffix, which maintains readability and consistency.

Tool Count5/5

Nine tools is well scoped for an AI citation analytics server, with separate tools for discovery, auditing, diagnosis, tracking, and usage. No tool feels redundant or trivial, and the batch forms are justified by cost/scale concerns.

Completeness4/5

The surface covers the core lifecycle: quota checks, leaderboard discovery, cited-question discovery, domain trend tracking, prompt coverage auditing, answer-structure analysis, gap analysis, and history. Minor gaps remain, such as no batch form for analyze_citation_gap or analyze_citation_trend, but agents can work around these one keyword at a time.

Maintenance

ActivityActive
ResponsivenessNo issues

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