Enables web search functionality through DuckDuckGo's search engine without requiring an API key.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@FireScrape MCP Serversearch for the latest React 19 release notes and summarize the key changes"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
π₯ FireScrape MCP Server
The Ultimate Gateway for AI Agents. Empower your LLMs to Browse, Search, Research, and Scrape with precision.
Installation β’ Connection Guides β’ AI Rules β’ Tools
π Overview
FireScrape MCP is a Model Context Protocol server designed to bridge the gap between AI models (Claude, Cursor, etc.) and the real world. It provides robust tools for:
Deep Research: Multi-step autonomous investigation and synthesis.
Web Access: Anti-blocking search and intelligent markdown scraping.
Local Context: File system access for project-aware coding.
π¦ Installation & Usage
Run instantly without global installation using npx:
β¨ Key Features (v1.1.2)
π§
deep_research: Conducts autonomous, multi-step research on complex topics, filtering noise and synthesizing reports.π
search_web: High-availability web search with fallback providers (DuckDuckGo + Brave) to ensure you always get results.π
scrape_webpage: Converts messy HTML into clean, token-efficient Markdown, stripping ads and irrelevant boilerplate.π
discover_tools: a "Meta-Tool" to find and install other MCP servers from GitHub and Smithery.π Local Integration: Seamlessly
list_filesandread_fileto give your AI context about your local project.
π€ AI Agent Rules
Want your AI to be smarter? We have created a standardized rule set to teach your AI agents (Cursor, Windsurf, Cline) how to effectively use these tools to verify facts and avoid hallucinations.
π Read the AI Usage Guidelines
Copy the content of the file above into your
π Connection Guides
1. Claude Desktop App
Open your configuration file:
Windows:
Win + R->%APPDATA%\Claude\claude_desktop_config.jsonmacOS:
~/Library/Application Support/Claude/claude_desktop_config.json
Add this configuration:
{ "mcpServers": { "firescrape": { "command": "npx", "args": ["-y", "@yutugyutugyutug/firescrape-mcp"] } } }
2. Cursor (AI Code Editor)
Navigate to Settings -> Features -> MCP.
Click + Add New MCP Server.
Fill in the fields:
Name:
FireScrapeType:
stdioCommand:
npxArgs:
-y @yutugyutugyutug/firescrape-mcp
Click Add to save.
3. Gemini CLI
Locate your config file:
Linux/Mac:
~/.gemini/settings.jsonWindows:
%USERPROFILE%\.gemini\settings.json
Insert the server configuration:
{ "mcpServers": { "firescrape": { "command": "npx", "args": ["-y", "@yutugyutugyutug/firescrape-mcp"] } } }
4. Claude Code (CLI)
Run this command in your terminal to add FireScrape:
5. Google Antigravity
Open the Manage MCP Servers panel.
Select "Edit Configuration" or open
mcp_config.json.Add the entry:
"firescrape": { "command": "npx", "args": ["-y", "@yutugyutugyutug/firescrape-mcp"] }
6. Cline (VS Code Extension)
Open Cline Settings (in VS Code settings or via the extension menu).
Locate the MCP Servers config file (usually via a button "Edit MCP Settings").
Add the following:
{ "mcpServers": { "firescrape": { "command": "npx", "args": ["-y", "@yutugyutugyutug/firescrape-mcp"] } } }
π οΈ Tools Reference
Tool Name | Description | Parameters |
| Reads a specific URL and returns structured Markdown. |
|
| Finds current info on the web. |
|
| Finds other MCP servers on GitHub. |
|
| Searches text inside a specific page URL. |
|
| Lists files in a folder. |
|
| Reads a file's content. |
|
| Returns the strict operational protocol for AI agents. |
|