AgentQL MCP Server
FeaturedLocalAbout AgentQL MCP Server
AgentQL MCP Server is an MCP server that connects AgentQL's data extraction to MCP-compatible apps. After installing it from npm and setting an API key, an AI assistant can pull structured data from specified web pages.
Key features
- 01Provides an extract-web-data tool
- 02Extracts fields described by a prompt
- 03Installs globally via npm
- 04Configuration guides for four MCP apps
Use cases
- 01Extracting titles, authors and view counts from search results
- 02Formatting web data as a Markdown table
- 03Replacing generic page reading in research tasks
MCP support
This is an MCP server that exposes the extract-web-data tool to MCP clients. The client passes a url and a prompt and receives structured data in return.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
1Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| prompt | string | Yes | Natural Language description of the data to extract from the page |
| url | string | Yes | The URL of the public webpage to extract data from |
Details
From the project READMEAgentQL MCP Server
This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities.
Features
Tools
extract-web-data- extract structured data from a given 'url', using 'prompt' as a description of actual data and its fields to extract.
Installation
To use AgentQL MCP Server to extract data from web pages, you need to install it via npm, get an API key from our Dev Portal, and configure it in your favorite app that supports MCP.
Install the package
npm install -g agentql-mcp
Configure Claude
- Open Claude Desktop Settings via
⌘+,(don't confuse with Claude Account Settings) - Go to Developer sidebar section
- Click Edit Config and open
claude_desktop_config.jsonfile - Add
agentqlserver insidemcpServersdictionary in the config file - Restart the app
{
"mcpServers": {
"agentql": {
"command": "npx",
"args": ["-y", "agentql-mcp"],
"env": {
"AGENTQL_API_KEY": "YOUR_API_KEY"
}
}
}
}
Read more about MCP configuration in Claude here.
Configure VS Code
For one-click installation, click one of the install buttons below:
Manual Installation
Click the install buttons at the top of this section for the quickest installation method. For manual installation, follow these steps:
Add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "apiKey",
"description": "AgentQL API Key",
"password": true
}
],
"servers": {
"agentql": {
"command": "npx",
"args": ["-y", "agentql-mcp"],
"env": {
"AGENTQL_API_KEY": "${input:apiKey}"
}
}
}
}
}
Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.
{
"inputs": [
{
"type": "promptString",
"id": "apiKey",
"description": "AgentQL API Key",
"password": true
}
],
"servers": {
"agentql": {
"command": "npx",
"args": ["-y", "agentql-mcp"],
"env": {
"AGENTQL_API_KEY": "${input:apiKey}"
}
}
}
}
Configure Cursor
- Open Cursor Settings
- Go to MCP > MCP Servers
- Click + Add new MCP Server
- Enter the following:
- Name: "agentql" (or your preferred name)
- Type: "command"
- Command:
env AGENTQL_API_KEY=YOUR_API_KEY npx -y agentql-mcp
Read more about MCP configuration in Cursor here.
Configure Windsurf
- Open Windsurf: MCP Configuration Panel
- Click Add custom server+
- Alternatively you can open
~/.codeium/windsurf/mcp_config.jsondirectly - Add
agentqlserver insidemcpServersdictionary in the config file
{
"mcpServers": {
"agentql": {
"command": "npx",
"args": ["-y", "agentql-mcp"],
"env": {
"AGENTQL_API_KEY": "YOUR_API_KEY"
}
}
}
}
Read more about MCP configuration in Windsurf here.
Validate MCP integration
Give your agent a task that will require extracting data from the web. For example:
Extract the list of videos from the page https://www.youtube.com/results?search_query=agentql, every video should have a title, an author name, a number of views and a url to the video. Make sure to exclude ads items. Format this as a markdown table.
Tip
In case your agent complains that it can't open urls or load content from the web instead of using AgentQL, try adding "use tools" or "use agentql tool" hint.
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
If you want to try out development version, you can use the following config instead of the default one:
{
"mcpServers": {
"agentql": {
"command": "/path/to/agentql-mcp/dist/index.js",
"env": {
"AGENTQL_API_KEY": "YOUR_API_KEY"
}
}
}
}
Note
Don't forget to remove the default AgentQL MCP server config to not confuse Claude with two similar servers.
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
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.