6 tools from the Agentscore Xyz MCP Server, categorised by risk level.
View the Agentscore Xyz policy →check_agent_trust Check whether an AI agent is trustworthy before transacting with it. Returns a trust verdict (TRUSTED/UNTRUSTED), score (0-100), and trust band. Us... compare_agents Compare trust scores of 2-5 AI agents side by side. Use this when choosing between multiple agents for a task, or when a user asks which agent is m... get_agent_history Get the trust score history for an AI agent over time. Use this to see if an agent's trustworthiness is improving, declining, or stable. get_agent_score Get a detailed trust score breakdown for an AI agent, showing scores across five dimensions: Identity, Activity, Reputation, Work History, and Cons... get_leaderboard Get the top-rated AI agents by trust score. Use this to find the most trustworthy agents overall or filter by category (Security, Development, Infr... search_agents Search for AI agents by name in the AgentScore database. Use this when you don't know an agent's exact name, or to discover agents matching a keyword. 2/5 The Agentscore Xyz MCP server exposes 6 tools across 1 categories: Read.
Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the Agentscore Xyz server.
Agentscore Xyz tools are categorised as Read (6). Each category has a recommended default policy.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept