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MCP server · Agents

Agent Eval Service

· github.com/GaryRPCondon/agent_eval_service

Scenario-driven framework for evaluating demographic bias in single- and multi-agent LLM workflows. Tracks bias across sequential stages, separates model non-determinism from systematic effects, and prevents agents inferring evaluation intent. REST API and MCP server.

Unclaimed ai-safetybias-detectionllm-evaluationllm-evaluation-frameworkllm-evaluation-toolkitmcpmulti-agent-systemsresponsible-airesponsible-ai-agentresponsible-ai-evaluation-tools
InstallView source
34Low

Scored 7 hours ago · breakdown

About Agent Eval Service

Agent Eval Service is an MCP server in the Agents category: scenario-driven framework for evaluating demographic bias in single- and multi-agent LLM workflows. Tracks bias across sequential stages, separates model non-determinism from systematic effects, and prevents agents inferring evaluation intent. REST API and MCP server. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/GaryRPCondon/agent_eval_service

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

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Questions

About Agent Eval Service

How do I install Agent Eval Service?

Run git clone https://github.com/GaryRPCondon/agent_eval_service, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Agent Eval Service safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Agent Eval Service still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.