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FlowiseAI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Execute Chatflow Prediction, Get Chatflow Details, Get Server Version, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect FlowiseAI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The FlowiseAI app connector for OpenAI Agents SDK is a standout in the Friends Mcp category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="FlowiseAI Assistant",
            instructions=(
                "You help users interact with FlowiseAI. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from FlowiseAI"
        )
        print(result.final_output)

asyncio.run(main())
FlowiseAI
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IAMAccess control
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DLPData protection
V8 IsolateSandboxed
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<40msKill switch
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 FlowiseAI MCP Server

Connect your FlowiseAI (self-hosted) instance to any AI agent and take full control of your LLM orchestration and RAG workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from FlowiseAI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries FlowiseAI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Prediction Orchestration — Trigger specific chatflows and retrieve LLM-generated responses programmatically using natural language inputs
  • Chatflow Management — List all orchestration flows and retrieve detailed technical structures and metadata to monitor your AI agents
  • Vector Intelligence — Programmatically upsert documents or raw data into the vector stores linked to your chatflows to ensure high-fidelity context
  • Component Oversight — Access server-wide credentials, custom tools, and global variables to manage your complete Flowise ecosystem
  • Operational Visibility — Monitor user feedback, leads, and assistant profiles directly through your agent for instant reporting

The FlowiseAI 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.

All 12 FlowiseAI tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to FlowiseAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-workflows, rag-pipelines, chatbot-development, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

execute_chatflow_prediction

Trigger an LLM flow prediction

get_chatflow_details

Get details for a specific chatflow

get_server_version

Get Flowise server version

list_ai_assistants

List OpenAI-style assistants

list_chat_feedback

List user feedback for a chatflow

list_chatflows

List all LLM orchestration flows

list_external_tools

List custom tools

list_flow_leads

List captured leads

list_flow_variables

List global variables

list_flowise_credentials

List configured credentials

list_marketplace_templates

List chatflow templates

upsert_vector_data

Push data into a vector store

Connect FlowiseAI to OpenAI Agents SDK via MCP

Follow these steps to wire FlowiseAI into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from FlowiseAI

Why Use OpenAI Agents SDK with the FlowiseAI MCP Server

OpenAI Agents SDK provides unique advantages when paired with FlowiseAI through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

FlowiseAI + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the FlowiseAI MCP Server delivers measurable value.

01

Automated workflows: build agents that query FlowiseAI, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries FlowiseAI, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through FlowiseAI tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query FlowiseAI to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for FlowiseAI in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with FlowiseAI immediately.

01

"List all my chatflows in Flowise."

02

"Execute chatflow 'cf_1' with question: 'How do I reset my password?'"

03

"Upsert this data into vector store for chatflow 'cf_2': [data]"

Troubleshooting FlowiseAI MCP Server with OpenAI Agents SDK

Common issues when connecting FlowiseAI to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

FlowiseAI + OpenAI Agents SDK FAQ

Common questions about integrating FlowiseAI MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.