Google Search
Provides web search capabilities and webpage content extraction through Google Custom Search API, en...
Create a Google Cloud Project
- Go to Google Cloud Console.
- Create a new project or select an existing one.
- Enable billing for your project if it's not already enabled.
Enable the Custom Search API
- In the API Library, search for “Custom Search API”.
- Click on it, then select “Enable”.
Create an API Key
- Go to the Credentials page.
- Click "Create Credentials" and then "API Key".
- Copy the generated API key.
- (Optional) For improved security, restrict this API key to only be used with the Custom Search API.
Create a Programmable Search Engine
- Visit Programmable Search Engine.
- Enter the sites you want to search (use
www.google.comfor general web search). - Click "Create".
- On the next page, click "Customize".
- In the settings, enable “Search the entire web”.
- Copy your Search Engine ID (CX).
Fill in the FastMCP Connection Interface
- Use the “Install Now” button in FastMCP to begin installation.
- When prompted in the FastMCP connection interface, provide your:
- GOOGLE_API_KEY (from Step 3)
- GOOGLE_SEARCH_ENGINE_ID (from Step 4)
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Run MCP servers without
local setup or downtime
Access to 1,000+ ready-to-use MCP servers
Skip installation, maintenance, and trial-and-error.
No local setup or infra
Run MCP servers without Docker, ports, or tunnels.
Always online
Your MCP keeps working even when your laptop is off.
One secure URL
Use the same MCP from any agent, anywhere.
Secure by default
Encrypted connections. Secrets never stored locally.
Configuration for
Environment Variables
Please provide values for the following environment variables:
HTTP Headers
Please provide values for the following HTTP headers:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for Web Search
View All →
DuckDuckGo
Remote
Experience fast and reliable DuckDuckGo web search with this TypeScript MCP server. It offers a simple search interface supporting customizable queries, result counts, and safe search levels. Built-in rate limiting ensures fair usage with up to 1 request per second and 15,000 per month. The server returns well-formatted Markdown results, making it easy to integrate and display search data. Designed to demonstrate core Model Context Protocol concepts, it also includes helpful debugging tools to inspect communication. Perfect for developers wanting seamless DuckDuckGo integration via MCP with efficient error handling and robust controls.
Brave Search
Integrate web search and local search capabilities with Brave. Brave Search allows you to seamlessly integrate Brave Search functionality into AI assistants like Claude. By implementing a Model Context Protocol (MCP) server, it enables the AI to leverage Brave Search's web search and local business search capabilities. It provides tools for both general web searches and specific local searches, enhancing the AI assistant's ability to provide relevant and up-to-date information.
Microsoft Docs
Remote
Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.
Exa Search
Empower AI assistants like Claude with real-time web data using the Exa MCP Server. This Model Context Protocol server connects AI models to the Exa AI Search API, enabling safe, up-to-date web searches across diverse tools such as academic papers, company data, LinkedIn, Wikipedia, GitHub, and more. Its flexible toolset enhances research, competitor analysis, and content extraction, providing comprehensive information for smarter AI interactions. Designed for seamless integration with Claude Desktop, the Exa MCP Server boosts AI capabilities by delivering fast, reliable, and controlled access to the latest online information.
More for Web Scraping
View All →
DeepWiki
Remote
Instantly turn any Deepwiki article into clean, structured Markdown you can use anywhere. Deepwiki MCP Server safely crawls deepwiki.com pages, removes clutter like ads and navigation, rewrites links for Markdown, and offers fast performance with customizable output formats. Choose a single document or organize content by page, and easily extract documentation or guides for any supported library. It’s designed for secure, high-speed conversion and clear, easy-to-read results—making documentation and learning seamless.
Selenium WebDriver
Enables browser automation through Selenium WebDriver with support for Chrome, Firefox, and Edge browsers, providing navigation, element interaction, form handling, screenshot capture, JavaScript execution, and advanced actions for automated testing and web scraping tasks.
Similar MCP Servers
GetWeb
Integrates DuckDuckGo, Google Search, Felo AI, and Jina Reader APIs to provide web search, content extraction, and HTML-to-Markdown conversion with caching, user agent rotation, and configurable text filtering for reliable web research and information retrieval.