galileo-agent-evals
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
Endpoint
Hosted endpoint · transport http
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tools
create_datasets— Generate synthetic datasets or upload custom data to test and evaluate AI applications (general, prompt-injection, off-topic, and toxic-content scenarios).check_dataset_status— Track dataset generation progress and preview content.create_prompt_templates— Build reusable prompt templates with model configuration, temperature, and other parameters.setup_experiments— Configure and run evaluation experiments.get_signals— Analyze log streams for issues and improvement opportunities.integrate_openai— Add Galileo observability to OpenAI applications.integrate_langchain— Enable Galileo tracing for LangChain applications.search_documentation— Query Galileo documentation for guides and examples.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.