About Data MCP Server
Data MCP Server exposes webpage scraping, structured extraction, crawling, search, and browser-agent tools. It is intended for MCP clients that need to retrieve and process web content, with profile management and documentation resources also available.
Key features
- 01Scrape webpages into formatted content
- 02Crawl linked pages
- 03Convert HTML to structured JSON
- 04Search the web with Bing
- 05Run browser automation agents
- 06Manage persistent profiles
Use cases
- 01Extract content from a webpage
- 02Collect information across linked pages
- 03Turn messy HTML into JSON
- 04Automate complex browser tasks
MCP support
It exposes scraping, crawling, extraction, search, browser automation, and profile-management tools to MCP clients. Documentation is also available through MCP resources.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEData MCP Server
This is Data's Model Context Protocol (MCP) Server. It provides various tools to scrape, extract structured data, and crawl webpages. It also provides easy access to general purpose browser agents like OpenAI's CUA, Anthropic's Claude Computer Use, and Browser Use.
More information about the Data can be found here. The data API supports a superset of features present in the mcp server.
More information about the Model Context Protocol can be found here.
Table of Contents
Installation
Manual Installation
To install the server, run:
npx data-mcp <YOUR-DATA-API-KEY>
Running on Cursor
Add to ~/.cursor/mcp.json like this:
{
"mcpServers": {
"data": {
"command": "npx",
"args": ["-y", "data-mcp"],
"env": {
"DATA_API_KEY": "YOUR-API-KEY"
}
}
}
}
Running on Windsurf
Add to your ./codeium/windsurf/model_config.json like this:
{
"mcpServers": {
"data": {
"command": "npx",
"args": ["-y", "data-mcp"],
"env": {
"DATA_API_KEY": "YOUR-API-KEY"
}
}
}
}
Development
For development purposes, you can run the server directly from the source code.
-
Clone the repository:
git clone [email protected]:NexusX-MCP/data-mcp-server.git data-mcp cd data-mcp -
Install dependencies:
npm install # or yarn install npm run build -
Run the server:
node dist/server.js
Claude Desktop app
This is an example config for the Data MCP server for the Claude Desktop client.
{
"mcpServers": {
"data": {
"command": "npx",
"args": ["--yes", "data-mcp"],
"env": {
"DATA_API_KEY": "your-api-key"
}
}
}
}
Tools
scrape_webpage- Extract formatted (markdown, screenshot etc) content from any webpagecrawl_webpages- Navigate through multiple linked pages and extract LLM-friendly formatted contentextract_structured_data- Convert messy HTML into structured JSONsearch_with_bing- Query the web and get results with Bing searchbrowser_use_agent- Fast, lightweight browser automation with the Browser Use agentopenai_computer_use_agent- General-purpose automation using OpenAI's CUA modelclaude_computer_use_agent- Complex browser tasks using Claude computer usecreate_profile- Creates a new persistent Data profile.delete_profile- Deletes an existing persistent Data profile.list_profiles- Lists existing persistent Data profiles.
Installing via Smithery
To install Data MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @data-mcp --client claude
Resources
The server provides the documentation about data through the resources methods. Any client which can do discovery over resources has access to it.
License
This project is licensed under the MIT License.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.