MCPs tagged with # context enrichment

Scrapeless MCP Server is a powerful integration layer enabling large language models, AI agents, and applications to interact with the web in real time. Built on the open Model Context Protocol, it facilitates seamless connections between models like ChatGPT, Claude, and tools such as Cursor to external web capabilities, including Google services, browser automation, and advanced data extraction. The system supports multiple transport modes and is designed to provide dynamic, real-world context to AI workflows. Robust scraping, dynamic content handling, and flexible export formats are core parts of the feature set.

• ⭐ 57
• MCP
• scrapeless-ai/scrapeless-mcp-server

Mindmap MCP Server provides a Model Context Protocol (MCP) compatible service that transforms Markdown input into interactive mindmap visualizations. It supports command-line, Python, and Docker installation methods for flexibility across platforms. Designed to integrate with MCP clients like Claude Desktop, it ensures seamless Markdown-to-mindmap conversion using markmap under the hood. The server is intended for easy plug-and-play use in model-powered workflows that require structured, visual context formatting.

• ⭐ 205
• MCP
• YuChenSSR/mindmap-mcp-server

Webvizio MCP Server is a TypeScript-based server implementing the Model Context Protocol to securely and efficiently interface with the Webvizio API. It transforms web page feedback and bug reports into structured, actionable developer tasks, providing AI coding agents with comprehensive task context and data. It offers methods to fetch project and task details, retrieve logs and screenshots, and manage task statuses. The server standardizes communication between Webvizio and AI agent clients, facilitating automated issue resolution.

• ⭐ 4
• MCP
• Webvizio/mcp