Connect MCP Client integrations
Interface your MCP Client connections with Make to feed remote server tools directly to your AI agents. Utilizing this workflow automation lets you map live data to external files, secure databases, and search APIs without manual setup. The connection securely runs complex server tasks on demand. Begin your free trial today to build your first connected AI assistant.
MCP Client
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MCP Client
Popular MCP Client workflows
Integrate MCP Client with Make. Automate your favorite apps, sync data, and build smarter workflows today.
Notion MCP + Webhook Response to Flowise AI
Receives a webhook, queries your Notion workspace for a specific question, and sends the response back to the original webhook sender. This scenario was originally designed as part of a Flowise AI - Notion MCP demo. simosme.com
Extract key info from document via ComPDF AI MCP and upload results as JSON to Google Drive
Automatically download an unstructured document from Google Drive using its file ID, extract key information such as names, dates, amounts, and entities through ComPDF AI MCP, and convert it into structured JSON data stored back in your Google Drive folder. This template transforms unstructured content into machine-readable data, helping you automate information extraction, classification, and downstream analysis — ideal for reports, contracts, invoices, and other text-heavy documents. Before you start: Ensure Google Drive and ComPDF AI MCP connections are properly configured. Prepare a valid Google file ID and folder access permission. If your workflow requires specific fields, define them in advance to map extraction results correctly.
Automate Your AI Workflows by Integrating MCP Client with Make
Connect MCP Client to Make to build powerful, visual AI workflows without coding. Automatically extract data, trigger real-time responses, and manage your tool connections from one centralized dashboard.
Connect AI models to your favorite apps
Make bridges the gap between the Model Context Protocol and thousands of cloud services, allowing your AI models to interact directly with your existing software stack.
Automate unstructured data extraction
Use Make to automatically fetch documents from storage, run them through MCP-compatible AI tools, and save the extracted data directly into structured files or databases.
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Build automated AI workflows without coding
You can easily design visual scenarios that trigger AI tool execution and data extraction using Make's drag-and-drop interface instead of writing complex connection scripts.
Enable real-time interactions
Connect webhooks to your MCP client on Make to instantly trigger AI lookups and send context-rich answers back to your users or chat interfaces.
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FAQs
How do I get started with Make?
Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.
What is a scenario?
A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.
What is a module?
Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.
What is mapping?
Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.