Data & Analytics · Cloro + Claude
Cloro MCP with Claude: Structured Search Insights Without Scraping
The short answer
Claude connects to Cloro through the Model Context Protocol (MCP), an open standard that lets Claude use other software securely. Once connected with an API key, Claude can request Google Search results and AI assistant answers, run research tasks, and return structured data that people can review and act on.
What is Cloro?
Cloro is an API for structured Google Search and AI assistant data. It lets software collect clean search results without the team building or maintaining its own scraping infrastructure. Marketing teams, SEO specialists, market researchers, analysts and product teams typically use it to track how search results and AI assistants present brands, products and topics over time.
How Claude connects to Cloro through MCP
The Model Context Protocol, or MCP, is an open standard that acts as a universal adapter between Claude and other software. It lets Claude read information and carry out actions in a tool, using permissions the organisation controls. Cloro offers its own MCP server, so Claude can work with its search data directly rather than through custom code.
Once connected with your API key, Claude can ask Cloro for Google Search results, retrieve AI assistant answers, start asynchronous research tasks and receive structured search data. You describe what you need in everyday language, and Claude translates that into the right requests and summarises the results.
Permissions and approvals keep people in charge. The API key is scoped to the access your team chooses, and we set up the connection with least-privilege access. Consequential actions, such as sharing findings externally or triggering further tasks, can require a person to approve them first.
What you can automate
Tracking brand visibility in search
A marketing manager asks Claude which brands appear for a set of target keywords each week. Claude pulls the Google Search results through Cloro, compares them with the previous week, and highlights where the brand has moved up or down. The team gets a short summary instead of a manual spreadsheet exercise.
Monitoring how AI assistants describe your products
A product team wants to know what AI assistants say about their category. Claude retrieves AI assistant answers for a fixed list of questions, extracts the brands and claims mentioned, and groups the findings by theme. This helps the team spot inaccurate descriptions and plan content updates.
Competitor research on demand
A strategy analyst needs a quick view of how competitors rank for a new market. Claude runs an asynchronous research task through Cloro, waits for the results, and returns a structured table of positions, page types and recurring topics. The analyst reviews the output before it goes into a board pack.
Content gap analysis for SEO teams
An SEO lead asks Claude which questions customers search for that the site does not yet answer. Claude collects search data for those queries, identifies where competitors appear and the company does not, and produces a prioritised list. The content team then decides which articles to commission.
Market research for new launches
A researcher preparing a regional launch in the Middle East or India asks Claude for search interest and result patterns in local languages and locations. Claude returns organised findings that the research team can compare against sales and survey data.
An end-to-end workflow: Weekly search visibility report
TriggerEvery Monday at 07:00, a scheduled request starts the workflow, or a manager asks Claude for the report.
Claude reads the agreed keyword list from the shared planning sheet in Microsoft 365.
Claude requests Google Search results and AI assistant answers for each keyword through Cloro.
Claude compares this week's structured results with last week's and flags significant movements.
Claude drafts a summary with tables and key changes, and saves it to the marketing team's folder.
A marketing lead reviews the draft and approves it before it is sent to the wider leadership group.
The approved report is logged in the CRM against the related campaign records.
OutcomeLeaders receive a consistent, reviewed view of search visibility each week, and the team spends its time acting on changes rather than collecting data by hand.
How we set it up
Start with a free automation audit
We review your current research and reporting work to find the search and AI assistant questions worth automating. You receive a clear list of candidate workflows, ranked by effort and expected value, at no cost.
Connect Cloro to Claude
We connect Claude to Cloro through its MCP server or a secure managed connector, using the API key sign-in method that Cloro supports. The key is stored securely and access is limited to the permissions your team agrees to.
Design the end-to-end workflow
We map how Cloro data flows into your other systems, such as Microsoft 365, your CRM or your reporting tools. People are placed at each approval point for consequential actions.
Test against real past cases
We run the workflow on past keyword sets and research questions and compare Claude's outputs with results your team has already verified. We adjust prompts, formats and checks until the output meets your standard.
Launch with monitoring and training
We go live with audit logs and usage monitoring, then train your team on how to request reports, review outputs and handle exceptions. Support continues through the first weeks of use.
Who benefits
- Marketing managers
- Receive weekly visibility summaries without assembling data manually.
- SEO and content leads
- Identify content gaps and competitor positions faster.
- Market researchers and analysts
- Get structured search data on demand for launches and reviews.
- Heads of operations or IT
- Gain a governed way to use search data without building scraping systems.
Security and control
- API keys are stored securely and access is limited to least-privilege permissions.
- People approve any consequential action, such as external sharing or triggering further tasks.
- Audit logs record each request and output so the team can trace how a finding was produced.
- Outputs are checked against verified past cases before launch and monitored afterwards.
- Search data is used only for the purposes your organisation has agreed, in line with the terms of the tool.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host the automation in a region that meets their data residency and privacy requirements. Indian organisations must also meet the Digital Personal Data Protection Act, 2023, so we configure data handling and hosting in India where needed. Organisations in the UAE and Saudi Arabia must comply with their local data protection laws, and we select a suitable hosting region for each client. The hosting region is always chosen to meet 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 Cloro MCP server do?
The Cloro MCP server lets Claude connect to Cloro and request Google Search results, AI assistant answers and research tasks in plain language. It returns structured data that Claude can summarise, compare and format for your team. It works as a secure bridge, so you do not need to write custom code to ask for search insights.
Is connecting Cloro to Claude secure?
Security depends on how the connection is set up. We use the API key sign-in method, store the key securely, and limit access to the permissions your team needs. Audit logs record activity, and people approve consequential actions before they happen.
What can Claude do with Cloro once connected?
Claude can query Google Search, retrieve AI assistant answers, run asynchronous research tasks and return structured search data. You ask in everyday language, and Claude handles the requests, organises the results and produces summaries or tables for review.
How long does setup take?
Setup time depends on how many workflows you want and how complex your other systems are. A focused first workflow often takes a few weeks, including testing against past cases and team training. We confirm a timeline during the free automation audit.
What access or plan do I need?
You need a Cloro API key with access to the search and AI assistant data you want to use. The exact plan and permissions depend on your Cloro account, so we confirm what is required during the audit and set up access with least-privilege settings.