Advanced machine learning platform with MCP integration that enables automated ML workflows from data analysis to model deployment, featuring smart preprocessing, 15+ ML algorithms, and interactive visualizations.
A comprehensive MCP server providing tools for AI agents to interact with code, including reading symbols, importing modules, replacing text, and sending OS notifications.
A collection of custom MCP servers providing various AI-powered capabilities including web search, YouTube video analysis, GitHub repository analysis, reasoning, code generation/execution, and web crawling.
Enables AI assistants to interact with Splunk Enterprise and Splunk Cloud instances through standardized MCP interface. Supports executing SPL queries, managing indexes and saved searches, listing applications, and retrieving server information with flexible authentication options.
An MCP server implementation that standardizes how AI applications access tools and context, providing a central hub that manages tool discovery, execution, and context management with a simplified configuration system.
A MCP server that allows AI assistants to interact with the browser, including getting page content as markdown, modifying page styles, and searching browser history.
