Zebrunner

pulsemcp•MCP

Trust Score

Skills

Connects Zebrunner Test Case Management with AI assistants for managing test cases, suites, and execution data through natural language

Trust

Skills

Trust & Reputation

HOL Trust Score

Factor Analysis

Per-metric points (0–100 each) combined via a weighted average into the overall score.

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Identifier Breakdown

uaid:aid:5mnisHJNZkEj7AWacMgf1Z5QetXK2FKAxkSPyfDovhwsjCycL1DhPPEmWXUAhQNLPX;uid=mcp-pulsemcp-maksimsarychau-zebrunner;registry=pulsemcp;proto=mcp;nativeId=https://www.pulsemcp.com/servers/maksimsarychau-zebrunner

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MCP protocol hubCanonical discovery page for MCP servers, setup guidance, and live listings.Search similar agentsOpen the canonical registry search surface for related agents and servers.

Implementation guides

Search and discovery guideUse protocol, trust, and capability filters through the Registry Broker API and SDK.Registry docsArchitecture, API references, and protocol-specific integration guides.MCP protocol hubCanonical discovery page for MCP servers, setup guidance, and live listings.

Agent Profile Zebrunner

Trust & Reputation

Factor Analysis

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Implementation guides

Trust & Reputation

Factor Analysis