"A tool for fetching and retrieving web pages or web content" matching MCP servers:

Enables MCP clients that lack built-in search — such as Claude Code through Bedrock or local LLM clients — to run web queries against Amazon's operated search index via a Gateway deployed in your own AWS account, with queries never leaving AWS and citation URLs preserved. Supports IAM/SigV4, Cognito, and API key authentication, per-gateway rate limits, IP and domain restrictions, and result filtering by domain and publication date.

An MCP server that enables LLM coding agents to deploy web applications to AWS serverless infrastructure, supporting backend, frontend, and fullstack deployments.

Enables deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It utilizes EdgeOne Pages Functions and KV storage for high-performance edge delivery of web applications.

Deployable remote MCP server on Cloudflare Workers without authentication, enabling custom tool integration with AI Playground and Claude Desktop.

A minimal MCP server template for deploying to Tencent Cloud EdgeOne Pages using Next.js and edge functions. Demonstrates tool registration and widget rendering with the hello_stat example tool.

Enables AI assistants to deploy and manage static websites on EdgeOne Pages via the Model Context Protocol.

Enables AI assistants to deploy and manage static websites directly through EdgeOne Pages. This self-hosted solution allows for direct file management and website hosting using EdgeOne's infrastructure and KV storage.

Enables AI assistants to deploy and manage static websites on EdgeOne Pages through a self-hosted MCP server. Supports one-click deployment, custom domain binding, and direct API access.

A self-hosted MCP server that enables AI assistants to deploy and manage static websites directly on EdgeOne Pages platform with KV storage support.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Enables AI assistants to deploy and manage static websites directly on EdgeOne Pages through a self-hosted Model Context Protocol solution. It simplifies web hosting by allowing natural language commands to handle site deployment and KV storage management.

Enables AI assistants to deploy and manage static websites directly on EdgeOne Pages. Simple self-hosted solution with one-click deployment and KV storage for website files.

Enables AI assistants to deploy and manage static websites directly through EdgeOne Pages. It provides a self-hosted solution for hosting website files using KV storage and managing content through the Model Context Protocol.

Enables AI assistants to deploy and manage static websites via EdgeOne Pages, with one-click deploy and API support.

Enables AI assistants to deploy and manage static websites through a self-hosted EdgeOne Pages MCP server, with one-click deploy and direct API access.

Enables AI assistants to deploy and manage static websites directly on EdgeOne Pages. Provides simple one-click deployment with KV storage for hosting website files accessible through custom domains.

A service that enables rapid deployment of HTML content to EdgeOne Pages and automatically generates publicly accessible URLs for the deployed content.

Enables the deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It integrates with edge functions and KV storage to provide fast content delivery and supports custom domain configuration.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Enables managing OVHcloud Web Hosting services via Model Context Protocol, providing tools to list, configure, and manage hosting resources through natural language.

Enables intelligent management of Google Cloud Platform infrastructure using Terragrunt, with support for experimental stacks, parallel deployments, resource visualization, cost analysis, and comprehensive infrastructure operations through natural language.

Enables MCP clients to fetch the signed-in Microsoft Entra user's profile from Microsoft Graph via the GET /me endpoint using the provided bearer token.

Enables AI assistants to deploy and manage static websites on EdgeOne Pages via a self-hosted MCP server. Supports KV storage and custom domain binding.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Turns any static website into an MCP-searchable knowledge base by deploying a Cloudflare Worker that provides full-text search tools, enabling AI assistants to search and retrieve content from your site.

Facilitates interaction with AWS Bedrock-enabled tools by implementing Anthropic's Model Context Protocol for seamless tool integration and communication.

MCP server that converts hardware specs into Azure price quotes using live Azure Retail Prices API. Provides tools to propose VM flavors, get full quotes with disk and reservation options, and batch-analyze RVTools exports.

An MCP Server that provides access to Google's Cloud Tool Results API, enabling applications to programmatically interact with test results from Firebase Test Lab and mobile app testing through natural language.