"Gathering Information from a Company's Website Root URL" matching MCP servers:

Enables URL parsing and building from components, plus query string parsing, all without keys or online dependencies.

Enables agents to discover how a website serves its data, verify sources with evidence, export OpenAPI 3.1, and generate tested TypeScript or Python clients.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

A self-hosted MCP server that gives AI coding assistants direct shell access to your local machine, enabling execution of arbitrary bash commands for development workflows.

A fully working MCP server built from scratch in plain Node.js, implementing tools, resources, prompts, notifications, and sampling according to the MCP specification, designed to connect to Claude Desktop or any MCP client.

Enables URL shortening and management through MCP, allowing creation of short links with optional tags and expiry, search, and stats.

Enables users to expose arbitrary HTTP APIs as configurable MCP tools by defining tool specifications in a JSON configuration file.

Enables clients to interact with a bundled documentation corpus through MCP tools and resources over HTTP or stdio, and provides a trajectory evaluation harness for grading agent performance.

An MCP (Model Context Protocol) server for handling GitHub URLs with validation and parsing capabilities. This server provides tools to convert between GitHub repository information and URLs, with intelligent validation to distinguish between public repositories, private repositories, and non-exist

Provides a simple tool to shorten URLs using the CleanURI API, designed to run as a FastMCP server that can be integrated with agent or tool-based systems.

An MCP server for automated website generation that transforms Excel spreadsheets and structured data into responsive portfolios, catalogs, and directories. It enables users to create complete websites, add pages, and generate components through natural language and template-based integration.

A Model Context Protocol (MCP) server that enables AI assistants to download files from URLs to the local filesystem.

Provides comprehensive git tooling via MCP, including status, diffs, commits, branches, stashes, and multi-root inventory, enabling AI agents to manage repositories.

It enables AI agents to call a small set of reliable, permission-aware tools generated from an existing website through the Model Context Protocol, without rebuilding the site.

Provides URL parsing and analysis tools, including component parsing, deterministic hash generation, heuristic safety checks, and metadata extraction, all without external HTTP requests.

A starter TypeScript template for building MCP and ChatGPT Apps using the Skybridge framework, enabling rapid development and deployment of MCP servers.

Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.

An MCP server providing comprehensive HubSpot CMS development documentation, enabling users to get contextual information about building HubSpot websites through natural language.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.