Model Context Protocol (MCP)
Enable Real-Time Tool Execution in Voice Conversations
Connect your voice agents to external tools and services through MCP integration, allowing them to execute actions and access real-time data during conversations.
Key Benefits
Leveraging the Model Context Protocol (MCP) integration provides several advantages:
- Execute real-time actions during voice conversations
- Connect to Microsoft Teams, Asana, Salesforce, and more
- No coding required for tool integration
- Support for multiple MCP servers
- Unified voice and text interaction handling
Setup Steps
Setting up the Model Context Protocol (MCP) integration involves these key steps:
1
Configure MCP Server
Set up your MCP server with the tools and services you want to make available.
2
Connect to VoiceInfra
Add your MCP server URL and authentication details in the platform settings.
3
Assign Tools
Select which tools should be available to specific voice agents.
4
Test Integration
Validate tool execution through test conversations before going live.
Frequently Asked Questions
MCP is a standard that allows AI models to interact with external tools and services. In VoiceInfra, it enables voice agents to perform actions like booking appointments, updating records, or accessing real-time data during conversations.
MCP supports integration with a wide range of tools including Microsoft Teams, Asana, Salesforce, and any system with an API. You can also create custom tools through platforms like Pipedream.
Tool execution happens in real-time during conversations. Our platform maintains sub-second response times even when calling external services through MCP.
Yes, you can connect multiple MCP servers to VoiceInfra. This allows you to organize tools by department, function, or security requirements.
Ready to Use the Model Context Protocol (MCP)?
Learn how easily you can connect VoiceInfra using this method.