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Investigate agents, conversation threads, and content trust signals for analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agentscore-mcp" yet — see the docs or source repo.
Use agentscore-mcp to inspect this agent’s recent runs, identify abnormal response patterns and failure causes, and summarize key risk signals.
A summary of agent behavior, abnormal patterns, likely causes, and risk factors.
Use agentscore-mcp to investigate this conversation thread, map key turns, context shifts, and points that may have caused outcome drift.
A structured thread analysis covering key turns, context evolution, and issue localization.
Use agentscore-mcp to assess trust signals in this content, flag suspicious elements, surface evidence clues, and suggest next verification steps.
A content trust assessment with risk flags, supporting rationale, and follow-up recommendations.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Add agentic tools with iterative reasoning and tool use to apps
Provide employee lookup and web search tools for LangChain agents.
Verify agent identities, check trust scores, and build cross-platform reputation.
Build AI agent workflows and automate tasks using MCP-connected services.
Test API compatibility for AI agents with scores, grades, and recommendations.