Freshcaller MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Freshcaller through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"freshcaller": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Freshcaller Agent",
instructions:
"You help users interact with Freshcaller " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Freshcaller?"
);
console.log(result.text);
}
main();
* 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 Freshcaller MCP Server
Connect your Freshcaller (now Freshdesk Contact Center) account to any AI agent to automate your cloud telephony and contact center management through the Model Context Protocol (MCP). Freshcaller is a modern phone system that enables teams to handle customer calls across the globe with zero hardware. This MCP server enables you to track call logs, monitor agent performance, and retrieve recording links directly through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Freshcaller tool infrastructure. Connect 12 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.
Key Features
- Call Oversight — List all inbound and outbound calls, fetch detailed metadata including duration and status, and monitor recent activity instantly.
- Agent Management — Access your database of users and agents to maintain full context of who is online and handling calls.
- Team Coordination — List configured agent teams and retrieve metadata for specific groups to optimize your routing.
- Recording Retrieval — Get direct links to call recordings for quality assurance and training purposes directly from your chat interface.
- Performance Metrics — Access real-time account metrics to understand call volumes and service levels across your organization.
- Number Inventory — List owned phone numbers and search for new available numbers to scale your global presence.
- Data Export — Monitor initiated export jobs to ensure your historical data is ready for deep analysis.
The Freshcaller MCP Server exposes 12 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.
How to Connect Freshcaller to Mastra AI via MCP
Follow these steps to integrate the Freshcaller MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Freshcaller via MCP
Why Use Mastra AI with the Freshcaller MCP Server
Mastra AI provides unique advantages when paired with Freshcaller through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Freshcaller without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Freshcaller tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Freshcaller + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Freshcaller MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Freshcaller, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Freshcaller as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Freshcaller on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Freshcaller tools alongside other MCP servers
Freshcaller MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Freshcaller to Mastra AI via MCP:
get_agent_details
Get agent metadata
get_call_details
Get call metadata
get_call_recording
Get recording link
get_export_status
Check export job
get_team_details
Get team metadata
list_account_metrics
Get call center metrics
list_agent_teams
List agent teams
list_agents
List call center agents
list_buyable_numbers
Search for phone numbers
list_calls
List recent phone calls
list_export_jobs
List data exports
list_my_numbers
List owned phone numbers
Example Prompts for Freshcaller in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Freshcaller immediately.
"List my 5 most recent calls and their duration."
"Show me the status of all agents in my support team."
"Get the recording link for call 'call_abc123'."
Troubleshooting Freshcaller MCP Server with Mastra AI
Common issues when connecting Freshcaller to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFreshcaller + Mastra AI FAQ
Common questions about integrating Freshcaller MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Freshcaller with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Freshcaller to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
