Freshcaller MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Freshcaller through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Freshcaller Assistant",
instructions=(
"You help users interact with Freshcaller. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Freshcaller"
)
print(result.final_output)
asyncio.run(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.
The OpenAI Agents SDK auto-discovers all 12 tools from Freshcaller through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Freshcaller, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Freshcaller MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Freshcaller
Why Use OpenAI Agents SDK with the Freshcaller MCP Server
OpenAI Agents SDK provides unique advantages when paired with Freshcaller through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Freshcaller + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Freshcaller MCP Server delivers measurable value.
Automated workflows: build agents that query Freshcaller, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Freshcaller, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Freshcaller tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Freshcaller to resolve tickets, look up records, and update statuses without human intervention
Freshcaller MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Freshcaller to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Freshcaller to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Freshcaller + OpenAI Agents SDK FAQ
Common questions about integrating Freshcaller MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
