Zixflow 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 Zixflow 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="Zixflow Assistant",
instructions=(
"You help users interact with Zixflow. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Zixflow"
)
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 Zixflow MCP Server
Connect your Zixflow workspace to any AI agent to automate your sales and CRM operations. This MCP server enables your agent to interact with collections (People, Company, etc.), manage individual records, and track wallet transactions directly from natural language.
The OpenAI Agents SDK auto-discovers all 7 tools from Zixflow through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Zixflow, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Collection Oversight — List all data collections configured in your workspace to understand your CRM structure
- Contact Management — List, retrieve, create, and update records within any collection using detailed field mappings
- Precision Filtering — Search for specific records using JSON-based filtering and sorting criteria
- Cleanup Automation — Delete unnecessary records and maintain your database directly via natural language commands
- Wallet Tracking — Access a history of transactions and balance changes within your Zixflow wallet
The Zixflow 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 Zixflow to OpenAI Agents SDK via MCP
Follow these steps to integrate the Zixflow 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 Zixflow
Why Use OpenAI Agents SDK with the Zixflow MCP Server
OpenAI Agents SDK provides unique advantages when paired with Zixflow 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
Zixflow + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Zixflow MCP Server delivers measurable value.
Automated workflows: build agents that query Zixflow, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Zixflow, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Zixflow tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Zixflow to resolve tickets, look up records, and update statuses without human intervention
Zixflow MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Zixflow to OpenAI Agents SDK via MCP:
create_collection_record
g., a person or company) to a specific Zixflow collection. Create a new record in a collection
delete_collection_record
Delete a record from a collection
get_record_details
Get details for a specific record
list_collection_records
Requires a JSON body for filtering/sorting. List records within a specific collection
list_collections
List all collections (People, Company, etc.)
list_wallet_transactions
List Zixflow wallet transactions
update_collection_record
Update an existing record
Example Prompts for Zixflow in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Zixflow immediately.
"List all data collections in my Zixflow workspace."
"Show details for record with ID '98765'."
"List my recent wallet transactions."
Troubleshooting Zixflow MCP Server with OpenAI Agents SDK
Common issues when connecting Zixflow to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Zixflow + OpenAI Agents SDK FAQ
Common questions about integrating Zixflow 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 Zixflow 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 Zixflow to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.