Web Search

# Web Search

R
Research Multi API Search
ResearchMCP is a research tool that combines the Model Context Protocol (MCP) with multiple search engines, aiming to provide research capabilities similar to ChatGPT DeepResearch.
TypeScript
10.1K
2.5 points
K
Kagi MCP Server
An MCP server based on the Kagi API, providing web search, content enhancement, and news acquisition functions.
Python
5.6K
2.5 points
M
MCP Server Serper
A TypeScript-based MCP server that provides web search and content scraping functions through the Serper API and supports integration with Claude Desktop.
TypeScript
10.3K
2.5 points
R
Reactmcp
ReActMCP Web Search is an MCP server integrated with the Exa API, providing real-time web search functionality for AI assistants, supporting basic search and advanced filtering options, and returning results in Markdown format.
Python
10.1K
3 points
M
MCP Searxng
An MCP server implementation integrating the SearXNG API, providing web search functions and supporting features such as pagination, time filtering, language selection, and safe search.
JavaScript
10.9K
2.5 points
W
Websearch (Google)
WebSearch-MCP is a server implementation based on the Model Context Protocol (MCP), providing real-time web search capabilities for AI assistants.
TypeScript
10.9K
2.5 points
O
One Search MCP
An MCP server implementation integrating multiple search engines and web page scraping functions
TypeScript
16.1K
2.5 points
D
Duckduckgo Search
A DuckDuckGo search plugin designed for Claude Code, providing functions such as web search, result detail acquisition, and related search suggestions, supporting advanced filtering and content exploration.
Python
11.4K
2.5 points
B
Bocha Search MCP
Bocha is a search engine designed specifically for AI, providing high-quality search services for nearly tens of billions of web pages and ecological content across the network, supporting structured data in multiple vertical fields such as weather, news, and encyclopedias, and suitable for various AI applications.
Python
12.4K
2.5 points
A
Actors MCP Server
The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.
TypeScript
9.4K
3.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.0K
4.3 points
B
Bing Search MCP
An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.
Python
20.7K
4 points
P
Perplexity MCP
Certified
An MCP server based on the Perplexity AI API, providing web search functionality for the Claude desktop client.
Python
18.4K
4.1 points
L
Lmstudio Toolpack
The Local MCP Tools Collection aims to simplify the integration of multi - functional tools for local large language models, supporting multiple MCP servers through a single virtual environment, including web search, Python sandbox, and long - term memory functions.
Python
9.8K
2.5 points
Z
Zed Exa MCP Extension
Zed extension that integrates exa-mcp-server to provide web search and content crawling functions
Rust
10.6K
2.5 points
S
Smolagents MCPs
This project uses the SmolAgents library to build an AI assistant that integrates Brave Search and Crawl4ai's MCP server, capable of performing web searches and crawling functions.
Python
6.7K
2 points
W
Web Search MCP
An MCP server project for web search
TypeScript
8.9K
2.5 points
M
MCP Tavily Web Search Server
An MCP server based on the Tavily API that provides real-time web search functionality for AI models and supports configuration of multiple search parameters.
Python
8.5K
2 points
O
O3 Search MCP
o3 - search - mcp is an MCP server that supports using the OpenAI o3 model and its powerful web search function to help AI programming agents independently solve complex problems.
TypeScript
5.4K
2.5 points
M
MCP Brower Use
An MCPAgent interactive application based on Streamlit, with functions such as conversation memory, web search, and model selection, providing a modern and responsive user interface.
Python
6.4K
2 points
S
Search MCP Server
A powerful MCP server that provides web search and similar content search functions, supporting integration with Claude Desktop
Python
8.3K
2.5 points
M
Marginalia MCP Server
An MCP server providing Marginalia search services
TypeScript
9.7K
2.5 points
O
Open Websearch
An MCP service for web search without an API key based on multiple search engines, supporting structured result return and article content retrieval
TypeScript
11.0K
3 points
M
MCP Chatgpt Responses
An MCP server that allows Claude Desktop to directly call the ChatGPT API, supporting custom parameters and web search functions.
Python
9.9K
2.5 points
W
Websearch Tools
WebSearch is an advanced web search and content extraction tool based on Python and the Firecrawl API, providing functions such as intelligent search, content scraping, and web crawling, and supporting MCP protocol integration.
Python
9.2K
2.5 points
D
Ddg Search
DuckDuckGo Search MCP is a fast, privacy-friendly Model Context Protocol (MCP) server based on DuckDuckGo, providing web search and URL content extraction functions and being compatible with multiple AI providers.
JavaScript
10.6K
2.5 points
M
MCP Kimi
A web search tool project based on DuckDuckGo, including an MCP server and client, which needs to be accessed through a browser interface
Python
0
2 points
T
Tool4lm
TOOL4LM is an MCP server that provides multi-tool support for local language models. It integrates functions such as web search, document reading, academic query, and calculator, and can enhance model capabilities without a default API key.
TypeScript
7.1K
2 points
S
Searxng MCP Server
An MCP server implementation integrating the SearxNG API, providing web search functionality and supporting pagination control.
TypeScript
10.6K
2.5 points
P
Perplexity MCP Server
An MCP server that provides Perplexity API web search functionality for the Claude desktop application
TypeScript
9.8K
2.5 points

Featured MCP Services

D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.0K
4.3 points
N
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
21.2K
4.5 points
M
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
33.8K
5 points
G
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
24.1K
4.3 points
F
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
63.7K
4.5 points
U
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#
30.8K
5 points
G
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
20.8K
4.5 points
C
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
97.2K
4.7 points
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