关键词 "raw manga translator" 的搜索结果, 共 24 条, 只显示前 480 条
MCP (Model Context Protocol) server wrapping Crawl4AI library as functions using Python
MCP Smart Crawler is a Model Context Protocol (MCP) server uses Playwright to crawl web content, extract metadata, and download resources such as videos and images.
Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible
MCP Server for collaborative drawing with Large Language Models
A comprehensive MCP server that enables seamless interaction with Excalidraw diagrams and drawings. This server provides LLMs (Large Language Models) with the ability to create, modify, query, and man
Model Context Protocol (MCP) server for Excalidraw - Work in Progress
Integrate MCP clients with the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from
MCP server for discord bot - adds one tool with raw API access
Mirror of
Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.
AI assistant using the SmolAgents library that integrates with Brave Search and Crawl4ai Model Context Protocols (MCP) servers for web searches and scraping. Modular design allows easy addition of new
This project demonstrates an Agentic AI system that uses a Gemini-powered MCP server to interpret natural language instructions and automate Microsoft Paint using GUI simulation tools on Windows.
Java implementation of MCP Server for Crawl4ai
MCP server for fetching, parsing and crawling sitemaps of a given website
A MCP server that provides a web crawling and content extraction tool for AI assistants
MCP server tailored to connecting web crawler data and archives
mcp server for craw the interview questions in discussion
Agentic MCP Client Server that solves a math task and draws output in rectangle in a drawing app.
This project provides a toolset to crawl websites wikis, tool/library documentions and generate Markdown documentation, and make that documentation searchable via a Model Context Protocol (MCP) server
MCP Server leveraging crawl4ai for web scraping and LLM-based content extraction (Markdown, text snippets, smart extraction). Designed for AI agent integration.
Using Advanced AI Prompting to enhance LLM planning to solve complex math problems and draw the answer on MSPaint Canvas
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