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PopNx MCPMCP servers for people who use AI · explained in plain words

ScrapeBadger

by scrape-badgerversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.scrape-badger/scrapebadger

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Marketing & social media
  • You need to fill in: SCRAPEBADGER_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: SCRAPEBADGER_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • SCRAPEBADGER_API_KEY secret required env
    Your ScrapeBadger API key from scrapebadger.com

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account scrape-badger, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 2972 servers in this category
  • Published to the registry more recently than 43% of the other 2972 servers in this category
  • Basic checks equal to or better than 100% of the other 2972 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ScrapeBadger safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: SCRAPEBADGER_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 37 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

An MCP server retrieving transcripts of YouTube videos

Runs on your computer★ 495MITUpdated 10 days ago
Install

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

Runs on your computer★ 244MITUpdated 9 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

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