Can my agent run a prediction against a specific Flowise chatflow?

Yes. Use the 'predict' tool. Provide the 'chatflow_id' and your question. The agent will command the Flowise backend to process the logic chain and return the AI-generated response directly in your chat.

How do I see the past conversational logs for a chatflow via chat?

Use the 'get_history' tool with the 'chatflow_id'. Your agent will retrieve the past execution traces and logs, helping you understand how users have interacted with that specific logic chain natively.

Can I list all custom tools configured in my Flowise instance through the agent?

Absolutely. Use the 'list_tools' tool. Your agent will retrieve custom tools and integrations configured in your environment, allowing you to audit available capabilities through natural conversation.

Flowise MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Name: Flowise
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 7 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Flowise Assistant",
            instructions=(
                "You help users interact with Flowise. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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IAMAccess control

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Ed25519Audit chain

<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 Flowise MCP Server

Connect your FlowiseAI instance to any AI agent and take full control of your low-code generative AI application development through natural conversation.

The OpenAI Agents SDK auto-discovers all 7 tools from Flowise through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Flowise, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Chatflow Orchestration — List and retrieve detailed architectural nodes and edges for all deployed Chatflows within your Flowise instance natively
Agentic Workflow Control — Access compound Agentflows defining complex AI tasks and multi-step reasoning logic synchronously
Live AI Prediction — Commands the backend to submit user questions to specific Chatflows and retrieve generated AI responses in real-time
Execution History Auditing — Pull precise past execution traces and conversational logs to debug logic chains and monitor agent performance limitlessly
Tool & Integration Discovery — Retrieve custom tools and third-party integrations configured in your Flowise environment to verify available capabilities
Credential Oversight — Enumerate stored credential components used to authenticate your AI logic chains securely within the platform
System Health Monitoring — Verify instance status and available base endpoints to ensure your AI orchestration layer is operational

The Flowise 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 Flowise to OpenAI Agents SDK via MCP

Follow these steps to integrate the Flowise 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 Flowise

Why Use OpenAI Agents SDK with the Flowise MCP Server

OpenAI Agents SDK provides unique advantages when paired with Flowise 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

Flowise + OpenAI Agents SDK Use Cases

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

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

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

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

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

Flowise MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Flowise to OpenAI Agents SDK via MCP:

get_chatflow

Get chatflow details

get_history

Get chat execution history

list_agentflows

List agentflows

list_chatflows

List chatflows

list_credentials

List credentials

list_tools

List available tools

predict

Run prediction on chatflow

Example Prompts for Flowise in OpenAI Agents SDK

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

"Ask chatflow 'abc-123': 'Summarize this document: [Context]'"

"List all active chatflows in my instance"

"Show me the execution history for chatflow 'Legal-Assistant'"

Troubleshooting Flowise MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Flowise + OpenAI Agents SDK FAQ

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

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.