原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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ScrapeBadger

作者:scrape-badger版本 0.1.2i★ –i在你的电脑上运行
注册名称io.github.scrape-badger/scrapebadger

安装

概览

作者提供的说明(英文原文)

Twitter/X scraping for AI agents: profiles, tweets, followers, trends, lists and communities.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 营销与社交媒体
  • 你需要填写:SCRAPEBADGER_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: SCRAPEBADGER_API_KEY

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "scrapebadger": {
      "command": "uvx",
      "args": [
        "scrapebadger-mcp"
      ],
      "env": {
        "SCRAPEBADGER_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add scrapebadger --env SCRAPEBADGER_API_KEY=your-value -- uvx scrapebadger-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "scrapebadger": {
      "command": "uvx",
      "args": [
        "scrapebadger-mcp"
      ],
      "env": {
        "SCRAPEBADGER_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "scrapebadger": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "scrapebadger-mcp"
      ],
      "env": {
        "SCRAPEBADGER_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • SCRAPEBADGER_API_KEY 机密 必填 env
    Your ScrapeBadger API key from scrapebadger.com

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 scrape-badger 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 2978 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2978 个服务器的 43% 更新
  • 基础检查结果等于或优于此分类中其他 2978 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

ScrapeBadger 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:SCRAPEBADGER_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.2)于38天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

MCP YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT10天前更新
安装

Google Analytics MCP

作者:surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT9天前更新
安装

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

在云端运行★ 137MIT10天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

ScrapeBadger MCP Server

Give your AI agents access to Twitter/X data and Google Search via the Model Context Protocol


What is this?

ScrapeBadger MCP Server is a Model Context Protocol (MCP) server that enables AI assistants like Claude, ChatGPT, Cursor, Windsurf, and other MCP-compatible clients to access Twitter/X data and Google Search results through the ScrapeBadger API.

With this MCP server, your AI can:

  • Get Twitter user profiles, followers, and following lists
  • Search and retrieve tweets
  • Access trending topics globally or by location
  • Explore Twitter lists and communities
  • Search for places and geolocated content
  • Search Google and read the structured results page, including People Also Ask answers

Quick Start

1. Get Your API Key

Sign up at scrapebadger.com and get your API key.

2. Install
# Using uvx (recommended - no installation needed)

uvx scrapebadger-mcp

Or install globally with pip

pip install scrapebadger-mcp

Or with uv

uv tool install scrapebadger-mcp

3. Configure Your AI Client
Claude Desktop

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{

"mcpServers": { "scrapebadger": { "command": "uvx", "args": ["scrapebadger-mcp"], "env": { "SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here" } } } }

Cursor

Add to your Cursor MCP settings (.cursor/mcp.json):

{

"mcpServers": { "scrapebadger": { "command": "uvx", "args": ["scrapebadger-mcp"], "env": { "SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here" } } } }

Windsurf

Add to your Windsurf MCP configuration:

{

"mcpServers": { "scrapebadger": { "command": "uvx", "args": ["scrapebadger-mcp"], "env": { "SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here" } } } }

VS Code with Copilot

Add to your VS Code settings (.vscode/mcp.json):

{

"mcpServers": { "scrapebadger": { "command": "uvx", "args": ["scrapebadger-mcp"], "env": { "SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here" } } } }

4. Start Using It!

Once configured, simply ask your AI to fetch Twitter data:

"Get the profile of @elonmusk"

"Search for tweets about AI agents"

"What's trending on Twitter right now?"

"Find the top 10 Python developers on Twitter"

"Search Google for 'are noise cancelling headphones worth it' and answer the People Also Ask questions"


Available Tools

The MCP server provides 17 tools organized into categories:

User Tools
ToolDescription
get_twitter_user_profileGet a user's profile by username (bio, followers, following, etc.)
get_twitter_user_aboutGet extended "About" info (account location, username history)
search_twitter_usersSearch for users by query
get_twitter_followersGet a user's followers
get_twitter_followingGet accounts a user follows
Tweet Tools
ToolDescription
get_twitter_tweetGet a single tweet by ID
get_twitter_user_tweetsGet recent tweets from a user
search_twitter_tweetsSearch for tweets (supports Twitter search operators)
Trend Tools
ToolDescription
get_twitter_trendsGet global trending topics (optionally by category)
get_twitter_place_trendsGet trends for a specific location (by WOEID)
Geo Tools
ToolDescription
search_twitter_placesSearch for Twitter places by name
List Tools
ToolDescription
get_twitter_list_detailGet details about a Twitter list
search_twitter_listsSearch for Twitter lists
get_twitter_list_tweetsGet tweets from a list
Community Tools
ToolDescription
get_twitter_community_detailGet details about a Twitter community
search_twitter_communitiesSearch for communities
Google Tools
ToolDescription
search_googleSearch Google (/v1/google/search): organic results, ads, knowledge graph, AI Overview, People Also Ask, shopping results, perspectives, discussions and forums, short videos, related searches

search_google takes q, gl, hl, start, location, ai_overview and expand_related_questions. Google loads a People Also Ask answer only when the question is clicked, so by default related_questions holds the questions without answers. expand_related_questions: true opens every question the page shows (usually four) and a number N opens the first N; each answered question then carries text_blocks and references. Each answered question costs one more search (credits = 20 x (1 + answered)), and a question whose answer does not come back is not billed. See the Google web search docs.


Example Conversations

Research a Twitter Account

You: Get the profile and recent tweets from @sama

Claude: I'll fetch Sam Altman's Twitter profile and recent tweets.

*Uses get_twitter_user_profile and get_twitter_user_tweets*

Sam Altman (@sama)
  • 3.2M followers, 1,847 following
  • Bio: "ceo of openai"
  • Joined: December 2008

Recent tweets:

  1. "excited to share..." (245K likes)
  2. "the future of ai..." (180K likes)

...

Monitor Trending Topics

You: What's trending in tech on Twitter today?

Claude: I'll check the current trending topics.

*Uses get_twitter_trends with category="news"*

Top Tech Trends:
  1. #GPT5 - 125,000 tweets
  2. Apple Vision Pro - 89,000 tweets
  3. #AGI - 45,000 tweets

...

Competitive Analysis

You: Compare the Twitter engagement of Stripe, Square, and PayPal

Claude: I'll gather data on all three companies' Twitter profiles.

*Uses get_twitter_user_profile for each company*

| Company | Followers | Following | Engagement Rate |

|---------|-----------|-----------|-----------------| | Stripe | 892K | 1,245 | 2.3% | | Square | 1.2M | 567 | 1.8% | | PayPal | 2.1M | 234 | 0.9% |


Configuration Options

Environment Variables
VariableRequiredDescription
SCRAPEBADGER_API_KEYYesYour ScrapeBadger API key
Using with Docker
FROM python:3.12-slim

RUN pip install scrapebadger-mcp

ENV SCRAPEBADGER_API_KEY=your_key_here

CMD ["scrapebadger-mcp"]

Using with Python Directly
# Set your API key

export SCRAPEBADGER_API_KEY="sb_live_your_key_here"

Run the server

python -m scrapebadger_mcp.server


Error Handling

The MCP server handles common errors gracefully:

ErrorDescriptionSolution
AuthenticationErrorInvalid API keyCheck your SCRAPEBADGER_API_KEY
RateLimitErrorToo many requestsWait and retry, or upgrade your plan
InsufficientCreditsErrorOut of creditsPurchase more at scrapebadger.com
NotFoundErrorUser/tweet not foundVerify the username or tweet ID

Development

Setup
# Clone the repository

git clone https://github.com/scrape-badger/scrapebadger-mcp.git cd scrapebadger-mcp

Install dependencies

uv sync --dev

Set your API key

export SCRAPEBADGER_API_KEY="sb_live_your_key_here"

Running Locally
# Run the MCP server directly

uv run python -m scrapebadger_mcp.server

Or use the CLI

uv run scrapebadger-mcp

Testing
# Run tests

uv run pytest

Run with coverage

uv run pytest --cov=src/scrapebadger_mcp

Code Quality
# Lint

uv run ruff check src/

Format

uv run ruff format src/

Type check

uv run mypy src/


Troubleshooting

"SCRAPEBADGER_API_KEY environment variable is required"

Make sure you've set the API key in your MCP configuration:

{

"env": { "SCRAPEBADGER_API_KEY": "sb_live_your_key_here" } }

Server not showing in Claude Desktop
  1. Restart Claude Desktop after changing the config
  2. Check the config file path is correct for your OS
  3. Verify JSON syntax is valid (no trailing commas)
"uvx: command not found"

Install uv first:

# macOS/Linux

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows

powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

Rate limit errors

ScrapeBadger has usage limits based on your plan. If you're hitting limits:

  1. Reduce request frequency
  2. Use pagination with smaller max_results
  3. Upgrade your plan at scrapebadger.com

Related Projects


Support


License

MIT License - see LICENSE for details.


Made with love by ScrapeBadger

问 PopNx