Is the serpapi-mcp MCP server actively maintained?

The serpapi-mcp MCP server was last committed 15d ago and has 10 contributors. Issue health: 63% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

serpapi-mcp MCP Server

Name: serpapi/serpapi-mcp
Rating: 4.2 (1 reviews)
Author: serpapi

serpapi/serpapi-mcp

Score: 80.4 ↑ 4.2% Rank #1850 MCP Server

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Overview

serpapi/serpapi-mcp is a Python MCP server licensed under MIT. SerpApi MCP Server for Google and other search engine results Topics: mcp, mcp-server, mcp-servers.

Ranked #1850 out of 24846 indexed tools.

In the top 8% of all indexed tools.

Has 10 contributors.

Ecosystem

Python MIT

mcpmcp-servermcp-servers

Score Breakdown

Stars 15% 180

180 stars → growing community

Freshness 25% 15d ago

Last commit 15d ago → recently updated

Issue Health 25% 63%

12/19 issues closed → decent issue management

Contributors 10% 10

10 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 43

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 180
Forks: 43
Open Issues: 7
Closed Issues: 12
Contributors: 10
Dependents: —
Language: Python
License: MIT
Last Commit: 15d ago

Matched Queries

"mcp server""mcp-server"topic:mcptopic:mcp-server

From the README

#  SerpApi MCP Server

A Model Context Protocol (MCP) server implementation that integrates with [SerpApi](https://serpapi.com) for comprehensive search engine results and data extraction.

## Features

- **Multi-Engine Search**: Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and [more](https://serpapi.com/search-engine-apis)
- **Engine Resources**: Per-engine parameter schemas available via MCP resources (see Search Tool)
- **Real-time Weather Data**: Location-based weather with forecasts via search queries
- **Stock Market Data**: Company financials and market data through search integration
- **Dynamic Result Processing**: Automatically detects and formats different result types
- **Flexible Response Modes**: Complete or compact JSON responses
- **JSON Responses (default)**: Structured JSON output with complete or compact modes
- **Markdown Responses**: Cut token usage by 50% on average and by more than 90% for APIs with complex nested JSON.
- **Interactive UI (MCP Apps)**: Opt-in

Read full README on GitHub →