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Key Summary:
- Model Context Protocol (MCP), developed by Anthropic (creator of Claude), is a standard that allows AI to connect to real apps and tools, enabling it to perform actions - not just generate text.
- Without MCP, AI can only suggest tasks, leaving users to manually execute them across apps. With MCP, a single prompt lets Claude complete multi-step tasks across tools like Gmail, HubSpot, Slack, Jira, and Google Calendar.
- It has three components - Claude (the AI brain), MCP servers (secure bridges for each app), and tools/actions (functions Claude calls). Claude coordinates tasks across these servers automatically.
- MCP benefits sales, project management, operations, software development, and executive tasks - e.g., sending personalized follow-ups, updating sprints, scheduling meetings, and flagging overdue invoices - with one prompt instead of multiple manual steps.
- MCP reduces time wasted switching between apps, streamlines workflows, and turns teams into decision-makers instead of messengers. Integration is simple, no developer needed - Claude automatically uses connected tools.
Everyone is talking about AI and we all feel that it’s here to stay and will cause one of the largest disruption across the sectors. It has already started as a matter of fact. You can ask Claude or ChatGPT to write an email, summarise a document, or explain a complex topic in plain English. That part works well.
But, then your AI assistant will hit the wall.
Try telling your AI assistant to do the following:
- Pull up a contact from your CRM.
- Check your calendar and book a meeting.
- Draft and send an email to a specific lead from your CRM.
And so on. Do you think we have achieved the real “Artificial Intelligence” in our operations and day to day work? Uptil now, the answer is a big NO**.
So, what to do in order to achieve Artificial Intelligence in its true sense? Enter MCP or Model Context Protocol.
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What exactly is MCP?
MCP stands for Model Context Protocol which is developed by Anthropic, the company behind the development of Claude. MCP is a standardized way for AI which connects external apps and tools to take real time actions based on the prompts and not just generate texts and research.
With the advent of MCP, AI assistants are realising their true purpose of actually being the ‘Co-workers’ for the users to perform the jobs as they are expected to.
To give a real world analogy, think about what happened before universal chargers existed. Every phone brand had its own cable. Your Nokia charger did not work with your Sony. Your Sony charger did not work with your Motorola. You needed a different one for every device. It was messy, inefficient, and completely unnecessary.
AI integrations had the same problem. If a company wanted Claude to work with their CRM, a developer had to build that connection from scratch. If they then wanted it to work with their email tool, another custom build, then their project management software, then their calendar and so on.
MCP changes that. It is a single, open standard that any tool can plug into and once it does, Claude can connect to it, understand what it can do, and use it on your behalf. One protocol. Every tool. No custom builds required. That is what makes MCP significant, not just as a technical achievement, but as a shift in what AI can practically do for you.
Before MCP vs After MCP
The best way to understand what MCP actually changes is to see the same task done both ways. You will see a direct impact the MCP has made with its arrival.
- Task
- Before MCP
- After MCP
- Follow up with a lead
- Claude writes the email.
- You open HubSpot.
- Find the contact.
- Copy the email.
- Open Gmail, paste it, send it.
- Tell Claude to pull the lead and draft the follow-up in Gmail and send.
- Schedule a meeting
- Claude suggests times.
- You open Google Calenda
- Check availability
- Create the event
- Send the invite, everything manually.
- Tell Claude to find a free slot this week and book the meeting. Done.
- Sprint update
- Claude helps you write the update.
- You open Jira
- Check tickets
- Copy statuses
- Open Slack, paste the summary, post it.
- Tell Claude to check open Jira tickets and post a sprint summary to Slack. One prompt.
- Flag overdue invoices
- Claude explains how to do it.
- You open your finance tool
- Filter by date
- Identify the overdue ones manually.
- Tell Claude to pull invoices from this month and flag anything overdue. It surfaces them instantly.
The pattern is the same every time. Before MCP, AI gives you a starting point and you do the rest. After MCP, you give AI a starting point and it does the rest.
How does MCP work?
MCP has basically three components that make it what it is. Everything else is just these three things working together.
- The Claude [Brain]:** Claude reads your prompt, understands what you are asking for, figures out which tools are needed, and decides the order to use them in. Consider it as a conductor of a symphony.
- **The MCP server [Bridge]:** Every tool that supports MCP has its own MCP server sitting in front of it. Think of it as a secure doorway. HubSpot has one. Gmail has one. Google Calendar has one. Slack has one. Claude does not access these tools directly. It uses MCP to access these services.
- **The Tool [Action]:** Each MCP server exposes a set of specific actions Claude can call. Search contacts. Create a draft. Book a meeting. Post a message. These are the tools. Claude picks the right one based on what you asked for and fires it.
**
Let’s look into the entire flow with an example and also understand it with a diagram.
Prompt:** “Fetch X’s email from HubSpot and send an email with Subject line and Message body“
Step 1 - Claude reads the prompt: It identifies two tasks: find a contact in HubSpot, then create a draft in Gmail. It knows it needs two MCP servers and determines that HubSpot must come first because Gmail needs the email address that HubSpot will return.
Step 2 - HubSpot MCP is called: Claude connects to the HubSpot MCP server and calls the search contacts tool with "Yanela" as the query. HubSpot returns her contact record, including her email address.
Step 3 - Gmail MCP is called: Claude takes the email address it just retrieved and connects to the Gmail MCP server. It calls the create draft tool, passing in the recipient, subject line, and body. Gmail creates the draft in your inbox.
Step 4 - Claude reports back: Claude confirms both tasks are complete and tells you the draft is ready for your review.
**
Some of the Real World scenarios to user MCP
MCP is not built for one type of user. Whether you are closing deals, managing a team, or running operations, the same principle applies; one prompt, real action across your actual tools.
- Role
- MCP usage examples
- Sales
- Pull a lead from HubSpot.
- Check their last interaction and conversation history.
- Draft a personalised follow-up email in Gmail with full context; not a generic template.
- Ready to send in seconds, without switching a single tab.
- Project Manager
- Summarise all open Jira tickets from the current sprint.
- Identify what is blocked and what needs attention.
- Post a clean sprint update directly to your Slack channel.
- Thirty-minute task done in one prompt.
- Founders/Businessmen
- Check your calendar availability for the week.
- Find a free slot that works for a new contact.
- Create the meeting and send the invite automatically.
- No back-and-forth emails, no manual calendar juggling.
- Software Developers
- Search all GitHub issues tagged "critical".
- Summarise the key problems across each issue.
- Create a doc with the full list and details.
- Walk into standup knowing exactly what needs attention today.
- Operations
- Pull this month's invoice data from your finance tool.
- Identify every payment that is past due.
- Flag them with amounts and contact details in one place.
- What used to take an hour of spreadsheet digging takes seconds.
Claude + MCP; the possibilities are endless across the designation, departments, and businesses of what it can be utilized for.
Major apps supported (categories & tools)
Communication & email:** Gmail, Slack, Microsoft Outlook
Calendar & scheduling: Google Calendar, Microsoft Calendar
CRM & sales: HubSpot, Salesforce, Clay
Project management: Asana, Atlassian (Jira & Confluence), Monday.com
Design & creative: Figma, Canva
Development: GitHub, GitLab
E-commerce: Shopify, Amazon
File storage & docs: Google Drive, Box, Notion
**
How to Set Up MCP and Connect Your Apps to Claude?
Connecting a tool to Claude does not require a developer, a tutorial, or an afternoon. For most tools, it takes under two minutes. Here is exactly how.
Anyone with a Claude account can connect MCP tools directly from the interface. Here is the step-by-step:
Setting up MCP on Claude.ai (no code required)
- Go to claude.ai** and log in to your account
- Click on your **profile icon** in the top right corner
- Open **Settings**
- Navigate to the **Integrations** or **Connectors** section
- Browse the list of available MCP-connected tools
- Click **Connect** next to the tool you want - HubSpot, Gmail, Google Calendar, Slack, and more
- **Authenticate** with your account - this works exactly like "Login with Google," a simple OAuth flow that takes seconds
- Done - **Claude** can now use that tool in any conversation
No API keys. No configuration files. No developer required. Once connected, Claude automatically knows the tool is available and will use it when your prompt calls for it.
What does it mean for the businesses?
The biggest issue in business is the time spent moving information from one place to another. Someone pulls a report, pastes it into a doc, sends it to a colleague, who then copies it into a presentation. Nothing new was created. Hours were spent.
MCP cuts that loop entirely.
When your tools are connected through MCP, your team stops being messengers and starts being decision makers. A non-technical team member can ask Claude to pull last month's sales data, compare it against the previous month, and draft a summary for the management meeting without opening a single spreadsheet or knowing how to write a query. A founder can run their Monday morning review across CRM, calendar, and project management in one sitting, through one interface.
Fewer handoffs. Faster decisions. Less time lost to tool-switching.
At Nimblechapps, we build AI-powered systems and integrations using MCP-compatible tools for businesses that want to move faster without hiring more people. If that sounds like something your team needs, we would be glad to talk.
Conclusion
For the past few years, AI has been an impressive answering machine. Ask it something, get a response, go do the thing yourself. That was genuinely useful but it was also only half the job.
MCP changes the other half.
It is not a feature inside Claude. It is not a plugin or an add-on. It is a shift in what AI fundamentally is.