Extract structured data from web pages using LLM. Define inputs via URLs, prompts, and JSON schema. Works with cloud AI or self-hosted LLM for customizable and precise web content extraction.
Generate architectural design feedback using natural language input and maintain context with optional conversation ID through POST requests to the LLM Architect tool on the MCP Server Template platform.
Perform in-depth topic research by combining web search results and LLM-based synthesis. Input a topic to generate detailed, locally processed insights using the MCP server's advanced capabilities.
Retrieve and process web pages for LLM context using a URL, with options to include screenshots or limit content length. Part of the Web Content MCP Server for enhanced data extraction.
Provides a universal bridge to interact with any OpenAI-compatible LLM API (local or cloud), enabling model testing, benchmarking, quality evaluation, and chat operations with performance metrics.