Fivetran MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fivetran through the 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="Fivetran Assistant",
instructions=(
"You help users interact with Fivetran. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Fivetran"
)
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 Fivetran MCP Server
Connect your Fivetran account to any AI agent and take full control of your automated data movement and ELT pipelines through natural conversation.
The OpenAI Agents SDK auto-discovers all 7 tools from Fivetran through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Fivetran, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Connector Orchestration — List all connectors within specific groups and retrieve detailed configuration, synced schema details, and setup states natively
- Destination Auditing — Retrieve configuration details for destination databases or data warehouses connected to your groups to verify delivery boundaries
- Group Management — List all groups (destinations) created in your Fivetran account and extract identifiers and creation metadata limitlessly
- Sync State Monitoring — Identify precise active sync statuses and validate physical data movement progress across your organizational pipelines securely
- User & Team Oversight — Enumerate all registered users and RBAC teams in the workspace to monitor access levels and administrative status flawlessy
- Pipeline Discovery — Analyze specific localized variables decoding active data routes and extracting hidden structural constraints within your ELT flows
- Resource Mapping — Retrieve complex structural arrays defining precisely which sources are mapped to which destinations globally across your account
The Fivetran MCP Server exposes 7 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 Fivetran to OpenAI Agents SDK via MCP
Follow these steps to integrate the Fivetran 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 7 tools from Fivetran
Why Use OpenAI Agents SDK with the Fivetran MCP Server
OpenAI Agents SDK provides unique advantages when paired with Fivetran 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
Fivetran + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Fivetran MCP Server delivers measurable value.
Automated workflows: build agents that query Fivetran, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Fivetran, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Fivetran tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Fivetran to resolve tickets, look up records, and update statuses without human intervention
Fivetran MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Fivetran to OpenAI Agents SDK via MCP:
get_connector
Get connector details
get_destination
Get destination for group
get_group
Get group details
list_connectors
List connectors in group
list_groups
List all groups
list_teams
List all teams
list_users
List all users
Example Prompts for Fivetran in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Fivetran immediately.
"List all Fivetran groups in my account"
"What is the status of connector 'conn_abc123'?"
"List all users in the Fivetran workspace"
Troubleshooting Fivetran MCP Server with OpenAI Agents SDK
Common issues when connecting Fivetran to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Fivetran + OpenAI Agents SDK FAQ
Common questions about integrating Fivetran 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 Fivetran 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 Fivetran to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
