Galileo: Integrate with Galileo to create datasets, manage prompt templates, run experiments, analyze logs, and monitor
by Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
GitMCP
Supercharge your AI code assistant with GitMCP—get accurate, up-to-date code and API docs from any GitHub project. Free,
HexStrike AI
Advanced MCP server enabling AI agents to autonomously run 150+ security and penetration testing tools. Covers reconnais
Notion
MCP server for Notion — enables Claude to interact with Notion data and workflows.
Createve.AI Nexus
Createve.AI Nexus unifies REST API and MCP, integrating APIs for AI workflow automation with tools like Calendly API and
Asana
MCP server for Asana — enables Claude to interact with Asana data and workflows.
Galileo reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, Galileo benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Galileo is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Galileo against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Galileo is the kind of server we cite when onboarding engineers to host + tool permissions.
Galileo has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Galileo surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Galileo for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Galileo is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Galileo is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"galileo": {
"url": "https://api.galileo.ai/mcp/http/mcp",
"env": null,
"headers": null
}
}
}Connects to Galileo's platform for managing LLM evaluation datasets, monitoring application performance, and running experiments on language models.
Galileo is an official MCP server published by rungalileo that provides AI assistants with tools and capabilities via the Model Context Protocol. Galileo: Integrate with Galileo to create datasets, manage prompt templates, run experiments, analyze logs, and monitor It is categorized under productivity, developer tools.
You can install Galileo in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
This repo is the source for Galileo's docs. We use Mintlify for building and publishing our docs.
See our contributing guide for more details.
This repo has a devcontainer configured so you can run in VS Code with the dev containers extension and Docker, or in a code space, and have an isolated environment with all the relevant tools installed.
This container installs the Mintlify CLI as well as Vale for spellchecking. It also has some recommended extensions. If you find any other extensions useful, please add them to the devcontainer.json file.
We use Mintlify for building and publishing our docs.
To build and run the doc locally:
Install the Mintlify CLI:
npm install -g mint
Run the Mintlify CLI:
mint dev
Before pushing a change, check for broken links using:
mint broken-links
This repo is set up to use Vale to check spellings. To use it, first install Vale:
brew install vale
Then install MDX2VAST:
npm install -g mdx2vast
Then you can check spelling using:
vale . --glob='!{sdk-api/**/reference/**/*.*}'
This command ignores the generated SDK code.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
MCP Aggregator
A centralized gateway for managing multiple MCP server connections. Instead of configuring each MCP server individually