Galileo MCP Server

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Galileo is built for evaluating and monitoring LLM applications and autonomous agents in production, and connected to Neotask it lets you interrogate that evaluation layer conversationally — pull the traces from a specific run to see what an agent actually did, or ask for a comparison across two experiments to see whether a prompt change helped or hurt. It also covers logging traces and managing datasets and prompts, so the reliability-testing side of an LLM project can be driven from chat instead of a separate dashboard.

• Log traces and manage datasets/prompts for LLM and agent reliability testing
• Pull traces from a specific run to inspect what happened
• Compare results across experiments to evaluate a change

What you can automate

Galileo MCP Server

Evaluate and monitor LLM applications and autonomous agents, including logging traces, running experiments, and managing datasets and prompts for reliability testing.

Real workflows

Compare two prompt versions

An engineer asks Neotask to compare the results of two experiment runs in Galileo after a prompt change; the agent pulls both experiments' traces and summarizes what shifted.

Frequently asked questions

Does this cover autonomous agents, or just single LLM calls?

Both — it's built to evaluate and monitor LLM applications as well as autonomous agents.

Can I see what happened in one specific run?

Yes, you can pull the traces from a specific run directly.