Why this server?
This server leverages the Oxylabs Web Scraper API to fetch and process web content, enabling efficient content extraction from complex websites.
Why this server?
This server uses Server-Sent Events and integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources.
Why this server?
This Python-based MCP server integrates OpenAPI-described REST APIs into MCP workflows, enabling dynamic exposure of API endpoints as MCP tools.
Why this server?
Provides a standardized interface for interacting with Xero's accounting and business features, enabling operations like contact management and invoice creation.
Why this server?
A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection.
Why this server?
A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.
Why this server?
Allows sending emails through the Resend service using a standardized Model Context Protocol (MCP) interface, with TypeScript support.
Why this server?
A secure MCP server for Windows Subsystem for Linux environments, facilitating safe command execution with security safeguards.
Why this server?
A Model Context Protocol server that connects to Mattermost, allowing AI models to monitor and process messages from specific teams and channels in real-time via SSE or Standard I/O transport modes.