Skip to main content

A high-performance, asynchronous MCP server for Serper Google Search, featuring connection pooling, request retries, and intelligent input parsing.

Project description

Serper MCP Toolkit

A high-performance, asynchronous MCP server that provides comprehensive Google search and web content scraping capabilities through the Serper API (excluding some rarely used interfaces).

This project is built on httpx, utilizing asynchronous clients and connection pool management to offer LLMs a stable and efficient external information retrieval tool.

Key Features

  • Asynchronous Architecture: Fully based on asyncio and httpx, ensuring high throughput and non-blocking I/O operations.
  • HTTP Connection Pool: Manages and reuses TCP connections through a global httpx.AsyncClient instance, significantly improving performance under high concurrency.
  • Concurrency Control: Built-in global and per-API endpoint concurrency semaphores effectively manage API request rates to prevent exceeding rate limits.
  • Automatic Retry Mechanism: Integrated request retry functionality with exponential backoff strategy automatically handles temporary network fluctuations or server errors, enhancing service stability.
  • Intelligent Country Code Parsing: Includes a comprehensive country name dictionary supporting inputs in Chinese, English, ISO Alpha-2/3, and other formats, with automatic normalization.
  • Flexible Environment Variable Configuration: Supports fine-tuned service configuration via environment variables.

Available Tools

This service provides the following tools:

Tool Name Description
serper-general-search Performs general Google web searches.
serper-image-search Performs Google image searches.
serper-video-search Performs Google video searches.
serper-place-search Performs Google place searches.
serper-maps_search Performs Google Maps searches.
serper-news-search Performs Google news searches.
serper-lens-search Performs Google Lens reverse image searches via image URL.
serper-scholar-search Performs Google Scholar searches.
serper-shopping-search Performs Google Shopping searches.
serper-patents-search Performs Google Patents searches.
serper-scrape Scrapes and returns the content of a specified URL.

Installation Guide

It is recommended to install using pip or uv.

# Using pip
pip install serper-toolkit

# Or using uv
uv pip install serper-toolkit

Quick Start

Set Environment Variables

Create a .env file in the project root directory and enter your Serper API key:

Environment Variables Default value Description
SERPER_API_KEY xxx your-serper-api-key-here
SERPER_HTTP2 0 Disable or enable HTTP2, <0/1>
SERPER_MAX_WORKERS 10 Number of processes
SERPER_MAX_CONNECTIONS 200 Maximum number of connections
SERPER_MAX_CONCURRENT_REQUESTS 200 Maximum number of concurrent requests
SERPER_KEEPALIVE 20 Maximum number of concurrent connections
SERPER_RETRY_COUNT 3 Maximum number of retries
SERPER_RETRY_BASE_DELAY 0.5 Base delay time for retries in seconds
SERPER_ENDPOINT_CONCURRENCY {"search":10,"scrape":2} Set concurrency per endpoint (JSON format)
SERPER_ENDPOINT_RETRYABLE {"scrape": false} Set retry allowance per endpoint (JSON format)
SERPER_MCP_ENABLE_STDIO 0 Disable or enable STDIO, <0/1>
SERPER_MCP_ENABLE_HTTP 0 Disable or enable HTTP, <0/1>
SERPER_MCP_ENABLE_SSE 0 Disable or enable SSE, <0/1>
SERPER_MCP_HTTP_HOST 127.0.0.1 HTTP host address
SERPER_MCP_HTTP_PORT 7001 HTTP host port
SERPER_MCP_SSE_HOST 127.0.0.1 SSE host address
SERPER_MCP_SSE_PORT 7001 SSE host port
SERPER_MCP_LOCK_FILE /tmp/serper_mcp.lock Lock file path
  • STDIO, HTTP, and SSE can only be used one at a time. If you need to use multiple protocols, please start separate services for each.
  • When using multiple services, please specify different lock files for each.

Configure MCP Client

Add the following server configuration in the MCP client configuration file:

{
  "mcpServers": {
    "serper": {
      "command": "python3",
      "args": ["-m", "serper-toolkit"],
      "env": {
        "SERPER_API_KEY": "<Your Serper API key>"
      }
    }
  }
}
{
  "mcpServers": {
    "serper-toolkit": {
      "command": "uvx",
      "args": ["serper-toolkit"],
      "env": {
        "SERPER_API_KEY": "<Your Serper API key>"
      }
    }
  }
}

Tool Parameters and Usage Examples

serper-general-search: Perform general web search

Parameters:

  • search_key_words (str, required): Keywords to search.
  • search_country (str, optional): Specify the country/region for search results. Supports Chinese names (e.g., "China"), English names (e.g., "United States"), or ISO codes (e.g., "US"). Default is "US".
  • search_num (int, optional): Number of results to return, range 1-100. Default is 10.
  • search_time (str, optional): Filter results by time range. Available values: "hour", "day", "week", "month", "year".

Example:

result_json = serper_general_search(
    search_key_words="AI advancements 2024",
    search_country="United States",
    search_num=5,
    search_time="month"
)

serper-lens-search: Perform reverse image search via image URL

Parameters:

  • image_url (str, required): Public URL of the image to search.
  • search_country (str, optional): Specify the country/region for search results. Default is "US".

Example:

result_json = serper_lens_search(
    image_url="https://www.google.com/images/branding/googlelogo/1x/googlelogo_color_272x92dp.png",
    search_country="JP"
)

serper-scrape: Scrape webpage content

Parameters:

  • url (str, required): URL of the target webpage.
  • include_markdown (bool, optional): Whether to include Markdown-formatted content in the returned results. Default is False.

Example:

result_json = serper_scrape(
    url="https://www.example.com",
    include_markdown=True
)

License Agreement

This project is licensed under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

serper_toolkit-0.0.10.tar.gz (24.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

serper_toolkit-0.0.10-py3-none-any.whl (22.1 kB view details)

Uploaded Python 3

File details

Details for the file serper_toolkit-0.0.10.tar.gz.

File metadata

  • Download URL: serper_toolkit-0.0.10.tar.gz
  • Upload date:
  • Size: 24.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for serper_toolkit-0.0.10.tar.gz
Algorithm Hash digest
SHA256 dee4db71a7ae59075bc498e03b72cf87c480a3bbccf11b020fe04fb09dee974f
MD5 29e86c2c6ce1e05b748fe61d3a6215eb
BLAKE2b-256 f5213ebc0ab90e6b0fb214e8da2fb0a8adfb4e5f5dedee870eddb9c25bde148d

See more details on using hashes here.

File details

Details for the file serper_toolkit-0.0.10-py3-none-any.whl.

File metadata

File hashes

Hashes for serper_toolkit-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 5f4f1b22a3b671cf17fd67252fcf7cb3516366889c4525f987504eb4488d4de2
MD5 c934dea97cf6c43c5cc0f3e7b4eeb62f
BLAKE2b-256 c2b642dcbbdb795af6de1946d455ade78f7f1a2efd6081ecea7deecfaae52eb0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page