MCP-native web evidence and claim verification: cited, source-grounded evidence for AI agents.
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Scored across 2 tools
The two tools are completely distinct: 'health' is a service status check with no overlap, while 'research_evidence' is the core research operation. There is no ambiguity about which tool to select for a given task.
Both names use snake_case and are concise, but 'health' is a bare noun while 'research_evidence' follows a verb_noun pattern. This minor deviation prevents a perfect score, though the convention is still readable and predictable.
With only two tools, the set feels thin and falls into the borderline range. However, the server's purpose is narrowly defined—evidence research with a health check—so the low count is not a major mismatch.
The core research_evidence tool fully covers the primary domain of fetching cited public web evidence, and health covers operational monitoring. Minor gaps like source history or saved evidence are not obvious requirements, so the surface appears reasonably complete for its scope.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
healthresearch_evidenceKnowledge commons for AI agents: cited, licensed, queryable claims over MCP.
Evidence-backed x402 web verification for AI agents, with auditable decisions for every condition.
Viral-content intelligence for AI agents — 7 read-only MCP tools, evidence-layer scoring.
Live AI-native web search with citations. One tool for every MCP client. Flat per-request pricing.
Add one secure layer between your agents and this server.
