Meta launches Llama 4 multimodal AI model to reshape the open source AI landscape
1025
English
English
At a time when AI technology is rapidly evolving, Zapier's new service recently released - MCP (Model Context Protocol) , is providing developers and enterprises with an unprecedented intelligent integration experience. The core goal of this technology is to enable AI assistants to not only "conversation", but also "do things".
With MCP, AI Assistant can quickly and securely connect to more than 8,000 commonly used applications, including Slack, Google Sheets, Salesforce, Notion, etc., without the need to develop complex API interfaces. Developers only need to generate an exclusive MCP endpoint URL to configure the AI assistant to perform specific operations, such as sending information, creating a schedule, updating customer data, etc.
This capability has made AI tools that could only "chat" truly become intelligent "collaborative partners" that can implement tasks.
MCP fully considers the sensitivity of the enterprise to permissions and security when designing it. Users can set the permission scope of the AI assistant according to their needs and refine it to a specific application, functional module or even field level. For example, you can specify that the AI assistant can only send messages to a Slack channel , or restrict its access to a specified GitHub repository to prevent accidental operations or abuse of permissions.
In addition, all MCP endpoints have built-in authentication mechanisms, and the data interaction process meets security standards. Zapier is responsible for handling underlying identity authentication and request control, so that developers have no worries.
The biggest highlight of MCP is the automation execution capabilities it gives AI. Not only can basic data processing tasks be performed, but it also supports such as creating calendar events, synchronizing project tasks, reading and writing to file systems, sending emails, and even updating real-time information in CRM or databases.
Applicable scenarios include:
Enterprise-level project management : coordinate meetings, assign tasks, track progress
Sales and customer service support : Automatically update potential customers, create support orders
Data extraction and integration : Extract key information from multiple applications and organize it into a readable format
Document and file processing : AI Assistant can search, read or edit files in local file systems
All this can be done without the user's manual operation, a natural language instruction can be done.
At present, Zapier MCP has been officially launched on the official website ( zapier.com/mcp ) and supports integration into mainstream AI clients, such as Cursor and Claude Desktop, helping users obtain intelligent suggestions based on the current operating context and then perform operations quickly.
