Identify and retrieve programming errors from a knowledge base by filtering error type, language, framework, message, code snippet, or task description for troubleshooting and learning.
Retrieve detailed information about the OpenXAI framework, including its overview, features, research paper, installation steps, and quickstart guide for efficient use and integration.
Extract webpage content as Markdown formatted text, tailored for large language models. Supports custom CSS selectors, link inclusion, and length limits via Concurrent Browser MCP.
Generate Robot Framework page object model code for login pages. Provides .robot file content for web testing without execution, streamlining test automation setup with SeleniumLibrary.
Execute vulnerability scans on language models by specifying model type, model name, and probe. Identify potential risks and generate a list of vulnerabilities for analysis.
A guide for implementing Model Context Protocol (MCP) servers that provide AI models with external tools like web search, text manipulation, and mathematical operations.
A middleware system that connects large language models (LLMs) with various tool services through an OpenAI-compatible API, enabling enhanced AI assistant capabilities with features like file operations, web browsing, and database management.