Data & Analytics · Agentql + Claude
AgentQL MCP with Claude: Structured Web Data for Smarter Automations
The short answer
Claude works with AgentQL through the Model Context Protocol, a secure standard that lets Claude use the tool with permissions you set. Once connected, Claude can browse websites, pull structured data from pages and run AgentQL queries written in plain language, while people approve consequential actions.
What is Agentql?
AgentQL is a toolkit that connects AI agents to the web using a specialised query language. It helps software find specific information on websites and interact with pages in a structured way, rather than relying on fragile screen scraping. Data and analytics teams, operations managers and developers typically use it to gather market prices, supplier details, listings or other web-based information for reporting and automated processes.
How Claude connects to Agentql through MCP
The Model Context Protocol, or MCP, is an open standard that lets Claude securely use other software. Think of it as a universal adapter between Claude and the tool. It gives Claude a defined, controlled way to ask AgentQL for information and to carry out actions, without custom code for every request.
Once connected, Claude can browse websites, extract structured data from pages and run AgentQL queries that you describe in natural language. For example, a team could ask Claude to collect product names and prices from a set of web pages and return them as a clean table ready for analysis.
Permissions and approvals keep people in charge. Access is limited to what each task needs, following least-privilege principles. Actions that change information or trigger further steps can require human sign-off, and every request can be logged for audit. AgentQL access is set up with an API key that your organisation controls and can revoke at any time.
What you can automate
Competitor price monitoring
A pricing analyst asks Claude to visit a defined list of competitor websites each week and extract product names, prices and availability. Claude returns the results in a structured format, flags large changes, and places the data where the team can review it. The analyst spends less time copying figures by hand and more time deciding on pricing.
Supplier and vendor research
A procurement team uses Claude to gather structured details from supplier websites, such as certifications listed, minimum order quantities and contact pages. The information is compiled into a comparison sheet. A buyer then reviews the shortlist, so decisions stay with people while research time falls.
Property and listings data collection
A real estate operations team asks Claude to extract listing details from approved portals, including location, size, price and status. The data is standardised so that agents can search and compare properties quickly. Staff check the output before it is shared with clients.
Market and regulatory updates
A compliance or strategy lead asks Claude to check specific government or industry web pages for new notices and summarise the changes in structured form. Relevant items are passed to the right team with a link to the source. Nothing is acted on without a person reviewing it first.
Web-based data validation
An operations team uses Claude to check that information held in internal systems matches what is published on a partner's website, such as stock levels or delivery dates. Mismatches are logged as tickets for follow-up. This reduces manual checking and catches errors earlier.
An end-to-end workflow: Weekly competitor pricing report
TriggerEvery Monday at 7:00 am, a scheduled request is sent to Claude with the list of competitor product pages to review.
Claude uses AgentQL to open each approved competitor page and extract product names, prices and stock status in a structured format.
Claude compares the results with the previous week's figures stored in the company's Microsoft 365 workbook.
Price changes above an agreed threshold are flagged and added to a summary for the commercial team.
The updated data is written to the shared workbook, and a draft summary is posted to the team's CRM notes for the account owner.
A pricing manager reviews the flagged changes and approves any follow-up actions before anything is shared externally.
OutcomeThe commercial team receives a current, consistent pricing overview each week without manual copying, so pricing decisions are based on fresh data. Typical results vary by organisation and by the number of sites monitored.
How we set it up
Free automation audit
We review your current web research and reporting work to identify the workflows worth automating, and agree which websites and data matter most.
Secure connection
We connect Claude to AgentQL using an API key, or through the AgentQL MCP connection, with access limited to the tasks you approve. Your key is stored securely and can be revoked at any time.
Workflow design
We design the end-to-end process across AgentQL and your other systems, such as Microsoft 365, your CRM or your ERP, and define where people must approve actions.
Testing and launch
We test the workflow against real past cases, check accuracy, and launch with monitoring and audit logs so every request can be traced.
Team training
We train your staff on how to make requests, review outputs and handle exceptions, and agree ongoing support so the workflow stays reliable.
Who benefits
- Data and analytics managers
- Structured web data arrives in a consistent format, ready for analysis and reporting.
- Pricing and commercial teams
- Competitor and market information is refreshed regularly without manual copying.
- Operations and procurement leads
- Routine web research is handled faster, leaving staff free for decisions that need judgement.
- IT and security heads
- Access is controlled through a single API key with least-privilege limits and audit logs.
Security and control
- Access is limited to the websites and actions each workflow needs, following least-privilege principles.
- An API key is used for sign-in, stored securely and revocable at any time.
- People approve any consequential action, such as sharing data externally or changing records.
- Every request and result can be logged for audit and review.
- We only automate web access that is permitted by the websites concerned and by your own policies.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host the Claude-based workflow in their chosen region to meet internal data handling requirements. In India, we design workflows to meet the Digital Personal Data Protection Act, 2023. Organisations in the UAE and Saudi Arabia benefit from workflows designed around local data protection laws. Hosting region is chosen during design so that it meets your specific legal and contractual requirements.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the AgentQL MCP server do?
The AgentQL MCP server gives Claude a standard, secure way to use AgentQL. Through it, Claude can browse websites, extract structured data and run AgentQL queries written in plain language. It acts as the connection point between Claude and AgentQL, so requests follow a defined and controlled path.
Is connecting AgentQL to Claude secure?
Security depends on how the connection is set up. Access uses an API key that you control, limited to the actions each workflow needs. Consequential actions can require human approval, and requests can be logged for audit. We design and review each connection with these controls in place.
What can Claude do with AgentQL once connected?
Typically, Claude can open approved web pages, extract information into a structured format, and run queries described in everyday language. It can then compare results, summarise them or pass them to other business systems. The exact actions allowed are set by your organisation's permissions.
How long does setup take?
Timing depends on the number of workflows and the systems involved. A simple single-workflow connection can often be set up in a few days, while a multi-system process with testing and training usually takes several weeks. We confirm an estimated timeline during the free automation audit.
What access or plan do I need to use AgentQL with Claude?
In general, you need an AgentQL API key, which is the sign-in method supported for this connection. The specific account type and usage limits depend on your AgentQL arrangement. We confirm what your current access allows during the audit and advise if any changes are needed.