How do I get an API Key for Freshcaller?

Log in to Freshcaller, click on your Profile Icon, then go to Profile Settings to find your API Key.

Where do I find my Freshcaller Domain?

Your domain is the subdomain in your Freshcaller URL (e.g. if your URL is 'acme.freshcaller.com', your domain is 'acme').

Can I listen to call recordings through the agent?

Yes! Use the 'get_call_recording' tool and provide the Call ID. The agent will return a secure link to the recording file.

Is it possible to see which agents are currently available?

Yes, the 'list_agents' tool retrieves all users in your account along with their current status and metadata.

Freshcaller MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Freshcaller
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Freshcaller through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Freshcaller "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Freshcaller?"
    )
    print(result.data)

asyncio.run(main())

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DLPData protection

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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 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.

Pydantic AI validates every Freshcaller tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI via MCP

Follow these steps to integrate the Freshcaller MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Freshcaller with type-safe schemas

Why Use Pydantic AI with the Freshcaller MCP Server

Pydantic AI provides unique advantages when paired with Freshcaller through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Freshcaller integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Freshcaller connection logic from agent behavior for testable, maintainable code

Freshcaller + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Freshcaller MCP Server delivers measurable value.

Type-safe data pipelines: query Freshcaller with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Freshcaller tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Freshcaller and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Freshcaller responses and write comprehensive agent tests

Freshcaller MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Freshcaller to Pydantic 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic 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 Pydantic AI

Common issues when connecting Freshcaller to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Freshcaller + Pydantic AI FAQ

Common questions about integrating Freshcaller MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Freshcaller MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.