3,400+ MCP servers ready to use
Vinkius

SnapCall MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Archive Call Stream, Create Call, Create Video Clip Request, and more

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect SnapCall through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Use with Your AI Agent

Ask AI about this App Connector for Mastra AI

Open in ChatGPT Open in Claude Open in Perplexity

The SnapCall app connector for Mastra AI is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "snapcall": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "SnapCall Agent",
    instructions:
      "You help users interact with SnapCall " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with SnapCall?"
  );
  console.log(result.text);
}

main();
SnapCall
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About SnapCall MCP Server

Connect your SnapCall account to any AI agent to automate your real-time customer engagement and video support orchestration. SnapCall provides a premier platform for embedding interactive calls into websites and apps, and this integration allows you to initiate calls, manage video clips, and monitor AI-driven conversational insights through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and SnapCall tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Call & Interaction Orchestration — Create and manage interactive voice and video calls programmatically to enhance your customer support.
  • Clip Lifecycle Management — Create and monitor video clips to provide visual support and documentation directly from the AI interface.
  • Conversation Intelligence — Access and monitor real-time data streams and retrieve AI-driven skill insights to optimize your team's performance.
  • Webhook & Automation Control — Create and manage webhooks to ensure your conversational data is instantly synchronized with your external tools.
  • Operational Monitoring — Track account usage and monitor system health via natural language commands to maintain a clear overview of your engagement metrics.

The SnapCall MCP Server exposes 11 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 SnapCall tools available for Mastra AI

When Mastra AI connects to SnapCall through Vinkius, your AI agent gets direct access to every tool listed below — spanning interactive-video, voice-calls, screen-sharing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

archive_call_stream

Archive or delete a call record

create_call

Create an instant video/voice call

create_video_clip_request

Request a video clip from customer

create_webhook

g., call.started, clip.created). Create a new webhook

delete_webhook

Remove a webhook

get_account_info

Get SnapCall account details

get_ai_insights_for_call

Get AI insights for a specific call

get_call_details

Get details for a call stream

list_ai_skills_data

List AI call insights

list_call_streams

List recent call streams

list_webhooks

List registered webhooks

Connect SnapCall to Mastra AI via MCP

Follow these steps to wire SnapCall into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 11 tools from SnapCall via MCP

Why Use Mastra AI with the SnapCall MCP Server

Mastra AI provides unique advantages when paired with SnapCall through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add SnapCall without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every SnapCall tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

SnapCall + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the SnapCall MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query SnapCall, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed SnapCall as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query SnapCall on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using SnapCall tools alongside other MCP servers

Example Prompts for SnapCall in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with SnapCall immediately.

01

"List all active data streams in my SnapCall account."

02

"Show me all video call sessions from today with their duration, resolution status, and customer satisfaction."

03

"Generate a weekly performance report for all support agents handling video calls."

Troubleshooting SnapCall MCP Server with Mastra AI

Common issues when connecting SnapCall to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

SnapCall + Mastra AI FAQ

Common questions about integrating SnapCall MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.