Tavily MCP Loadbalancer
A Tavily MCP server that supports multi-API key load balancing, provides both SSE and HTTP interfaces, and can automatically poll keys to improve concurrency and availability.
rating : 2.5 points
downloads : 0
What is the Tavily MCP Load Balancing Server?
This is an intelligent web search server based on the Model Context Protocol (MCP), specifically designed to handle web search requests. Its core feature is the support for automatic polling of multiple API keys. When a key reaches its usage limit or fails, the system automatically switches to the next available key, ensuring high availability and stability of the service.How to use the Tavily MCP Server?
You can use this server in two main ways: 1) Establish a persistent connection through the SSE (Server-Sent Events) interface to receive search results in real-time; 2) Send requests directly through the HTTP POST interface and get responses. The server supports various web tools, including web search, content extraction, and website crawling.Applicable Scenarios
This server is particularly suitable for application scenarios that require a large number of web searches, such as AI assistants that need to obtain real-time web information, research tools that need to collect multi-source data, content analysis platforms that need to extract web content, and SEO tools that need to analyze website structures.Main Features
Intelligent Load Balancing
Automatically polls multiple API keys and seamlessly switches to the next available key when a key reaches its usage limit, significantly improving concurrent processing capabilities.
Multi-Protocol Support
Supports both SSE (Server-Sent Events) and HTTP POST interface protocols to meet the connection needs of different clients.
Automatic Failover
Intelligently detects invalid API keys and automatically disables them, ensuring continuous service availability without manual intervention.
Complete Toolset
Provides 4 core tools: web search, web content extraction, website crawling, and sitemap generation, covering common web data acquisition needs.
Real-Time Monitoring
Detailed API key usage logs and performance statistics to help you understand the usage of each key and the system status.
Multi-Architecture Support
Supports both amd64 and arm64 processor architectures of Linux and can be deployed and run on different hardware platforms.
Advantages
High availability: Multi-key polling ensures uninterrupted service
Performance improvement: Parallel use of multiple API keys enhances request processing capabilities
Easy deployment: Provides Docker images for one-click deployment
Flexible interfaces: Supports both SSE and HTTP communication methods
Comprehensive functions: Covers various needs such as search, extraction, and crawling
Complete monitoring: Detailed logs and statistical information
Limitations
Requires multiple Tavily API keys to achieve the best results
Has certain requirements for network connection quality
Complex configuration may require some technical knowledge
Some advanced functions require corresponding API permissions
How to Use
Get API Keys
First, you need to register on the Tavily official website and obtain API keys. It is recommended to get multiple keys for better load balancing effects.
Deploy the Server
Use Docker to quickly deploy the server. Just one command can start the service.
Test the Connection
After deployment, verify whether the server is running normally through the health check interface.
Configure the Client
Configure the MCP client in your application and connect to the SSE or HTTP interface of the server.
Start Using
Send search requests through the client, and the server will automatically handle load balancing and return results.
Usage Examples
AI Assistant Obtains Real-Time Information
When a user asks the AI assistant for the latest news or technological developments, the AI assistant searches the web through the MCP server to obtain the latest information.
Research Tool Collects Data
Researchers need to collect multi-faceted data on a certain topic and obtain structured information from multiple web pages through the content extraction tool.
SEO Analyzes Website Structure
SEO experts need to analyze the structure of competitors' websites and generate a complete site structure map through the sitemap tool.
Content Monitoring System
Enterprises need to monitor mentions of their brand on the web and obtain relevant discussions and evaluations through regular searches.
Frequently Asked Questions
How many API keys do I need?
What's the difference between the SSE and HTTP interfaces?
What search parameters does the server support?
How can I monitor the usage of API keys?
What if all API keys become invalid?
Does it support Chinese search?
How can I improve the accuracy of search results?
Are there any usage limitations for the server?
Related Resources
Tavily Official Website
Get API keys and learn detailed information about the Tavily search service
Docker Hub Image
The latest Docker image of the server
GitHub Project Repository
View source code, submit issues, and participate in development
Model Context Protocol Documentation
Learn the technical specifications and standards of the MCP protocol
Quick Start Guide
Detailed installation and usage instructions

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.5K
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
28.6K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.5K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.9K
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
51.3K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
24.3K
5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
17.2K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
75.7K
4.7 points


