Use Studio chat to drive this server — credentials stay in your workspace.
Vapi is a voice AI platform for building conversational voice agents. Provides real-time voice processing, speech-to-text, text-to-speech, and phone call management for AI-powered voice applications.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Vapi is a voice AI platform for building conversational voice agents. Provides real-time voice processing, speech-to-text, text-to-speech, and phone call management for AI-powered voice applications. It provides tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/vapi-mcp. Authentication is handled automatically.
Vapi uses API Key. Vapi requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect Vapi to any MCP client in minutes
Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.
Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.
Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.
More machine learning integrations you might like
This API enables AI agents to verify facts with human input, enhancing the reliability of informatio...
BizGigz Agent Marketplace enables users to register and manage AI agents, facilitating the integrati...
This server serves as a marketplace for AI agents, facilitating the automation of workflows and task...
This server acts as a registry for AI agents, allowing users to manage and access various AI solutio...
AiPayGen is a large suite of 148 AI tools designed for agents, enabling them to perform tasks such a...
This server serves as a brain for AI applications, providing advanced capabilities for data processi...