WebQuest MCP

WebQuest MCP

A Model Context Protocol server that exposes powerful web search and scraping tools to AI agents and MCP-compatible clients.

Category
Visit Server

README

<p align="center"> <img src="https://github.com/mustafametesengul/webquest-mcp/raw/main/docs/images/logo.svg" alt="WebQuest MCP Logo" width="350"> </p>

WebQuest MCP

WebQuest MCP is a Model Context Protocol (MCP) server that exposes powerful web search and scraping tools to AI agents and MCP-compatible clients.

For available scrapers and browsers, see the WebQuest documentation.

Installation

Installing using pip:

pip install webquest-mcp

Installing using uv:

uv add webquest-mcp

Usage

Starting the server

To start the WebQuest MCP server, run:

webquest-mcp serve

The server reads its configuration from environment variables (or a .env file loaded automatically). Available settings:

  • OPENAI_API_KEY (required): OpenAI API key for scrapers.
  • HYPERBROWSER_API_KEY (required): Hyperbrowser API key.
  • WEBQUEST_MCP_AUTH_SECRET (optional): JWT secret to enable authenticated requests. Leave unset to disable auth.
  • WEBQUEST_MCP_AUTH_AUDIENCE (optional, default webquest-mcp): JWT audience to validate when auth is enabled.
  • WEBQUEST_MCP_TRANSPORT (optional, default stdio): MCP transport. Supported values: stdio, sse, streamable-http.
  • WEBQUEST_MCP_HOST (optional, default localhost): Host to bind when the transport is HTTP-based.
  • WEBQUEST_MCP_PORT (optional, default 8000): Port to use when the transport is HTTP-based.

Example .env:

OPENAI_API_KEY=your_openai_api_key
HYPERBROWSER_API_KEY=your_hyperbrowser_api_key
WEBQUEST_MCP_AUTH_SECRET=your_jwt_secret_key
WEBQUEST_MCP_AUTH_AUDIENCE=webquest-mcp
WEBQUEST_MCP_TRANSPORT=streamable-http
WEBQUEST_MCP_HOST=localhost
WEBQUEST_MCP_PORT=8000

Token generation

To generate an authentication token for the MCP client, set the required environment variables and run the generator.

The token generator uses the same WEBQUEST_MCP_* prefix as the server.

Required settings:

  • WEBQUEST_MCP_AUTH_SECRET: JWT secret used by the server.
  • WEBQUEST_MCP_AUTH_SUBJECT: Identifier for the client receiving the token.

Optional settings:

  • WEBQUEST_MCP_AUTH_AUDIENCE (default webquest-mcp)
  • WEBQUEST_MCP_AUTH_EXPIRATION_DAYS (default 365)

Example .env:

WEBQUEST_MCP_AUTH_SECRET=your-secret-key
WEBQUEST_MCP_AUTH_SUBJECT=client-name
WEBQUEST_MCP_AUTH_AUDIENCE=webquest-mcp
WEBQUEST_MCP_AUTH_EXPIRATION_DAYS=365

Run the generator:

webquest-mcp token

Docker

Run the published image:

docker run --rm -p 8000:8000 --env-file .env \
  -e WEBQUEST_MCP_HOST=0.0.0.0 \
  mustafametesengul/webquest-mcp serve

Disclaimer

This tool is for educational and research purposes only. The developers of WebQuest MCP are not responsible for any misuse of this tool. Scraping websites may violate their Terms of Service. Users are solely responsible for ensuring their activities comply with all applicable laws and website policies.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured