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 AutoGen 7 tools — connect in under 2 minutes

Name: Flowise
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Flowise as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="flowise_agent",
            tools=tools,
            system_message=(
                "You help users with Flowise. "
                "7 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Flowise tools. Connect 7 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Flowise MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 7 tools from Flowise automatically

Why Use AutoGen with the Flowise MCP Server

AutoGen provides unique advantages when paired with Flowise through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Flowise tools to solve complex tasks

Role-based architecture lets you assign Flowise tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Flowise tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Flowise tool responses in an isolated environment

Flowise + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Flowise MCP Server delivers measurable value.

Collaborative analysis: one agent queries Flowise while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Flowise, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Flowise data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Flowise responses in a sandboxed execution environment

Flowise MCP Tools for AutoGen (7)

These 7 tools become available when you connect Flowise to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting Flowise to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Flowise + AutoGen FAQ

Common questions about integrating Flowise MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Flowise tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.