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Servers/Code Execution/Agent Evals by Galileo
Code ExecutionOfficial
A

Agent Evals by Galileo

Bring agent evaluations, observability, and synthetic test set generation directly into your IDE for free with Galileo's new MCP server

0 starsUpdated Aug 28, 2026

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Overview

> Learn how to integrate Galileo's Model Context Protocol (MCP) server with AI-enabled IDEs like Cursor and VS Code The Galileo Model Context Protocol (MCP) server enables seamless integration between AI-powered IDEs, such as Cursor, or VS Code with GitHub Copilot, and Galileo's evaluation and observability platform. With MCP, you can access Galileo's capabilities directly from your development environment, including: Creating and managing datasets Running experiments Setting up prompt templates Getting signals on Log streams Integrating Galileo with your code

Installation

Installation instructions are not available yet.

Configuration

{
          "mcpServers": {
            "galileo_mcp_server": {
              "url": "https://api.galileo.ai/mcp/http/mcp",
              "headers": {
                "Galileo-API-Key": "YOUR-API-KEY",
                "Accept": "text/event-stream"
              }
            }

Capabilities

  • Create synthetic datasets

    Use `Create Datasets` to generate test data with prompt injections, off-topic, or toxic queries.

  • Check dataset status

    Use `Check Dataset Status` to track progress and preview the first 10 rows of a dataset.

  • Create prompt templates

    Use `Create Prompt Templates` to build reusable templates with model config and temperature.

  • Set up experiments

    Use `Set Up Experiments` for step-by-step guidance on running Galileo experiments with metrics.

  • Get signals on Log streams

    Use `Get Signals` to analyze production log streams and get fix recommendations.

  • Integrate with OpenAI or LangChain

    Get step-by-step guides for adding Galileo observability and tracing to your apps.

Tags

  • testing-qa
  • observability-incident
  • ai-agent
  • development

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