%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
rating : 4 points
downloads : 333
What is the Search1API MCP Server?
The Search1API MCP Server is a tool based on the Model Context Protocol (MCP). It leverages the powerful capabilities of Search1API to implement functions such as web search, news search, content extraction, and website crawling.How to use the Search1API MCP Server?
Through simple installation and configuration, you can quickly start the server and integrate it into various MCP clients. The server supports multiple tools and services to meet different needs.Applicable scenarios
Suitable for scenarios that require efficient web search, in - depth reasoning, and complex problem - solving, such as knowledge base construction, data analysis, and automated tool development.Main functions
Web searchSearch the Internet through Search1API, supporting multiple search engines (such as Google, Bing, DuckDuckGo, etc.).
News searchSearch for the latest news articles, supporting multiple news platforms to quickly obtain hot news.
Web content extractionExtract the complete web content from the specified URL for further analysis and processing.
Website map generationGenerate a complete website map from the target website to facilitate website structure analysis.
In - depth reasoningUse the DeepSeek R1 model for in - depth thinking and complex problem - solving, supporting multiple advanced reasoning tasks.
Hot topic trendsGet hot topics on platforms such as GitHub and Hacker News to keep up with industry trends in real - time.
Advantages and limitations
Advantages
Supports integration with multiple search engines and tools to meet diverse needs.
Efficient web crawling and content extraction capabilities.
Built - in in - depth reasoning function, suitable for complex problem - solving.
Open - source and free, easy to expand and customize.
Limitations
Requires a valid Search1API key to run.
Some advanced functions may have high requirements for the network environment.
The speed and effect of the in - depth reasoning function depend on the specific model configuration.
How to use
Install dependencies and configure the API key
After cloning the project, create a `.env` file in the project root directory and fill in your Search1API key.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Install dependencies and build
Run the following command to install dependencies and compile the code:
Start the server
Use the following command to start the server:
Usage examples
Example 1: Web searchSearch for information related to 'artificial intelligence'.
Example 2: News searchFind the latest blockchain news.
Frequently Asked Questions
How to obtain a Search1API key?
How to integrate this server into LibreChat?
Is the in - depth reasoning function stable?
Related resources
Search1API official website
Visit the Search1API official website for more information.
GitHub project repository
View the project's source code and update logs.
User manual
Download the detailed user manual.
Featured MCP Services
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
124
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
1.7K
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
75
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
820
4.3 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#
551
5 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
6.6K
4.5 points
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
743
4.8 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
5.2K
4.7 points