Froged MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Froged 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="Froged Assistant",
instructions=(
"You help users interact with Froged. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Froged"
)
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 Froged MCP Server
Connect your Froged account to any AI agent to automate your customer success and support operations through the Model Context Protocol (MCP). Froged is an omnichannel customer service platform designed to improve retention and engagement. This MCP server enables you to track behavioral events, manage customer profiles, and participate in support conversations directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 11 tools from Froged through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Froged, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Contact Management — List all customer profiles, fetch detailed metadata, and programmatically create or update contacts to maintain a 360-degree view.
- Behavioral Event Tracking — Access recent user events and post custom behavioral data (e.g., 'plan_upgraded') to trigger automated marketing campaigns.
- Support Conversations — List active support chats across all channels and post replies to conversations seamlessly.
- Marketing Campaigns — Retrieve a list of all active marketing and in-app campaigns to monitor engagement.
- Knowledge Base Access — Fetch published help articles from your Knowledge Base to aid in self-service support.
- Real-time Synchronization — Keep your customer success data and support inbox perfectly aligned with your internal tools.
The Froged MCP Server exposes 11 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 Froged to OpenAI Agents SDK via MCP
Follow these steps to integrate the Froged 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 11 tools from Froged
Why Use OpenAI Agents SDK with the Froged MCP Server
OpenAI Agents SDK provides unique advantages when paired with Froged 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
Froged + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Froged MCP Server delivers measurable value.
Automated workflows: build agents that query Froged, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Froged, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Froged tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Froged to resolve tickets, look up records, and update statuses without human intervention
Froged MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect Froged to OpenAI Agents SDK via MCP:
get_chat_details
Get conversation history
get_contact_details
Get contact metadata
list_behavioral_events
List tracked events
list_cs_contacts
List Froged contacts
list_kb_articles
List help articles
list_marketing_campaigns
List active campaigns
list_support_conversations
List support chats
send_chat_message
Send support reply
track_custom_event
Track user behavior
upsert_contact
Create/Update contact
verify_api_status
Verify API connection
Example Prompts for Froged in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Froged immediately.
"List my 5 most recent active support conversations."
"Track the event 'plan_upgraded' for user 'customer@email.com'."
"Show me the contact profile for 'jane@example.com'."
Troubleshooting Froged MCP Server with OpenAI Agents SDK
Common issues when connecting Froged to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Froged + OpenAI Agents SDK FAQ
Common questions about integrating Froged 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 Froged 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 Froged to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.