AIBase
EN
Explore
Serpapi MCP Server
S

Serpapi MCP Server

This project is a series of MCP servers based on SerpAPI and YouTube, providing AI assistants with various search functions, including Google Search, News, Scholar, Trends, Finance, Maps, Images, as well as YouTube Search and caption retrieval.
Search toolsResearch and data#Search Service#AI Integration#Data Acquisition#MCP Protocol.Python
2 points
8.7K
Open Site

Overview

Installation

Content Details

Alternatives

What is SerpApi MCP Server?

SerpApi MCP Server is a set of Python servers based on the Model Context Protocol (MCP). It aims to provide powerful search capabilities for AI assistants by integrating functions such as Google Search, News, Scholar, Trends, Finance, Maps, Images, as well as YouTube Search and captions.

How to use SerpApi MCP Server?

You simply need to configure and run the server, and then connect it to an AI assistant that supports MCP (such as Claude for Desktop). You can start using it through a few simple steps.

Applicable Scenarios

It is suitable for scenarios that require quick access to information, data analysis, or content creation, such as education, scientific research, and market analysis.

Main Features

Google Search
Supports comprehensive Google Search functions, including News, Scholar, Trends, Finance, Maps, and Images.
YouTube Search
Easily find relevant videos and obtain their caption content.
Support for Multiple Languages and Countries
Supports language and region settings of multiple countries to meet internationalization needs.
Advantages
Quickly integrate Google and YouTube data sources.
Support multiple custom parameters to meet diverse needs.
Easy to deploy and compatible with multiple AI assistants.
High - quality API interfaces ensure accurate search results.
Limitations
Requires a valid SerpAPI subscription.
Some advanced features may be limited by API quotas.
Requires a certain foundation in Python to configure the environment.

How to Use

Install Dependencies
Download the code, create a virtual environment, and install the required dependencies.
Configure API Key
Add your SerpAPI key to the .env file.
Start the Server
Run the corresponding server script, such as the Google Search server.

Usage Examples

Case 1: Academic Research
Find the latest academic papers on climate change.
Case 2: News Tracking
Get the latest news reports on artificial intelligence.

Frequently Asked Questions

How to apply for a SerpAPI key?
Why did my request fail?
Which languages and regions are supported?

Related Resources

SerpAPI Official Documentation
Learn more about SerpAPI's functions and parameters.
GitHub Code Repository
Get the code and example configurations.
MCP Protocol Description
Understand how the MCP protocol works.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "serpapi-google-search": {
      "type": "stdio",
      "command": "path/to/python",
      "args": [
        "path/to/serpapi-mcp-server/src/serpapi_google_search.py"
      ],
      "env": {
        "PYTHONPATH": "path/to/site-packages"
      }
    },
    "serpapi-youtube-search": {
      "type": "stdio",
      "command": "path/to/python",
      "args": [
        "path/to/serpapi-mcp-server/src/serpapi_youtube_search.py"
      ],
      "env": {
        "PYTHONPATH": "path/to/site-packages"
      }
    },
    "serpapi-google-news": {
      "type": "stdio",
      "command": "path/to/python",
      "args": [
        "path/to/serpapi-mcp-server/src/serpapi_google_news.py"
      ],
      "env": {
        "PYTHONPATH": "path/to/site-packages"
      }
    },
    "serpapi-google-trend": {
      "type": "stdio",
      "command": "path/to/python",
      "args": [
        "path/to/serpapi-mcp-server/src/serpapi_google_trend.py"
      ],
      "env": {
        "PYTHONPATH": "path/to/site-packages"
      }
    },
    "serpapi-google-scholar": {
      "type": "stdio",
      "command": "path/to/python",
      "args": [
        "path/to/serpapi-mcp-server/src/serpapi_google_scholar.py"
      ],
      "env": {
        "PYTHONPATH": "path/to/site-packages"
      }
    },
    "serpapi-google-finance": {
      "type": "stdio",
      "command": "path/to/python",
      "args": [
        "path/to/serpapi-mcp-server/src/serpapi_google_finance.py"
      ],
      "env": {
        "PYTHONPATH": "path/to/site-packages"
      }
    },
    "serpapi-google-maps": {
      "type": "stdio",
      "command": "path/to/python",
      "args": [
        "path/to/serpapi-mcp-server/src/serpapi_google_maps.py"
      ],
      "env": {
        "PYTHONPATH": "path/to/site-packages"
      }
    },
    "serpapi-google-images": {
      "type": "stdio",
      "command": "path/to/python",
      "args": [
        "path/to/serpapi-mcp-server/src/serpapi_google_images.py"
      ],
      "env": {
        "PYTHONPATH": "path/to/site-packages"
      }
    },
    "youtube-transcript": {
      "type": "stdio",
      "command": "path/to/python",
      "args": [
        "path/to/serpapi-mcp-server/src/youtube_transcript.py"
      ],
      "env": {
        "PYTHONPATH": "path/to/site-packages"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
16.2K
5 points
P
Paperbanana
Python
8.9K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
9.8K
4 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.7K
4.5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.7K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
16.7K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
17.9K
5 points
C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
32.6K
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
39.1K
5 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
24.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.2K
4.3 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
28.4K
4.3 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#
38.4K
5 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
69.5K
4.5 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
24.9K
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
107.1K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase