Voyp MCP Server

What does “Voyp” MCP Server do?

The Voyp MCP (Model Context Protocol) Server is a specialized tool that enables AI assistants to connect with external telephony services, allowing them to make and monitor phone calls. By integrating the Voyp MCP Server, AI models can initiate calls, search for business information (such as restaurants or dentists), make appointments, reservations, consultations, and track the progress of ongoing calls. This server bridges the gap between conversational AI and real-world phone interactions, empowering developers to build advanced workflows where AI can handle voice communications and automate appointment scheduling or inquiries. It is especially useful for enhancing development workflows that require seamless, secure, and standardized access to telephony capabilities.

List of Prompts

No prompt templates are explicitly mentioned in the repository or documentation.

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List of Resources

No specific MCP resources are described in the available documentation or code.

List of Tools

• Construct robust call contexts: Allows the AI or user to prepare structured information for making effective phone calls.
• Search for business information: Enables the AI to look up details about businesses (e.g., restaurants, dentists) before or during calls.
• Call and make appointments/reservations: Provides functionality to initiate calls and interact with external parties to book appointments, make reservations, or conduct consultations.
• Provide status of the call: Offers real-time status updates about the ongoing call.
• Hangup call: Terminates an active phone call.

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Use Cases of this MCP Server

• Automated Appointment Scheduling: Developers can use the Voyp MCP Server to let AI assistants call businesses and schedule appointments (e.g., at a dentist or restaurant) on behalf of users, improving efficiency and user experience.
• Business Information Lookup: AI agents can search for and retrieve business details before making calls, streamlining the process for users seeking reservations or consultations.
• Call Status Monitoring: The server can track the status of a call in real time, allowing users or automated agents to respond to changes (e.g., call answered, on hold, ended).
• Telephony Workflow Automation: Developers can automate workflows involving phone calls, such as confirming reservations, making inquiries, or following up with clients, reducing manual effort.
• Customer Support Integration: AI can use the MCP server to initiate outbound calls to customers for support or information, enhancing customer service capabilities.

How to set it up

Windsurf

No setup instructions for Windsurf are provided in the repository.

Claude

1. Prerequisites: Ensure Node.js (v20+) and Git are installed.
2. API Key: Obtain a Voyp API key from voyp.app .
3. Install via Smithery:

   npx -y @smithery/cli install @paulotaylor/voyp-mcp --client claude
   

4. Alternatively, run with NPX:

   npx -y voyp-mcp@0.1.0
   

5. Configure Claude Desktop:
   (No specific JSON snippet provided in the repo.)

Securing API Keys (General Pattern):

{
  "env": {
    "VOYP_API_KEY": "your-api-key"
  },
  "inputs": {
    "api_key": "${VOYP_API_KEY}"
  }
}

Cursor

No setup instructions for Cursor are provided in the repository.

Cline

No setup instructions for Cline are provided in the repository.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "voyp-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “voyp-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Roots Support: ⛔ Not mentioned

Sampling Support: ⛔ Not mentioned

Based on the available documentation, the Voyp MCP server provides clear telephony integration for AI agents but lacks explicit documentation on prompts, resources, roots, and sampling. The installation process is clear for Claude (and Goose), but missing for Windsurf, Cursor, and Cline. The project would benefit from more comprehensive documentation and resource listings.

Our opinion

The Voyp MCP server is a promising project for integrating telephony into AI workflows, especially for appointment scheduling and business lookups. However, the lack of detailed documentation on prompt templates, resources, and advanced MCP features limits its immediate utility for broader developer adoption. Score: 5/10.

MCP Score