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Flowise MCP Server

Name: Flowise
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR ToolsFree for Subscribers

Manage low-code AI workflows via Flowise — run predictions, track chatflows and agentflows, handle tools, and audit execution history directly from any AI agent.

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What is the Flowise MCP Server?

The Flowise MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Flowise via 7 tools. Manage low-code AI workflows via Flowise — run predictions, track chatflows and agentflows, handle tools, and audit execution history directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (7)

get_chatflowget_historylist_agentflowslist_chatflowslist_credentialslist_toolspredict

Tools for your AI Agents to operate Flowise

Ask your AI agent "Ask chatflow 'abc-123': 'Summarize this document: [Context]'" and get the answer without opening a single dashboard. With 7 tools connected to real Flowise data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

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Flowise MCP Server capabilities

7 tools

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

What the Flowise MCP Server unlocks

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

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

How it works

1. Subscribe to this server
2. Enter your Flowise Base URL and API Key (found in your Flowise Settings)
3. Start managing your AI workflows from Claude, Cursor, or any MCP-compatible client

Who is this for?

AI Developers — test and debug Chatflows and Agentflows without leaving the development environment
Automation Engineers — trigger AI predictions and monitor execution histories using natural language
Product Teams — audit available AI tools and verify conversational logs in real-time
Data Scientists — evaluate different LLM orchestration patterns and logic chains through natural conversation

Frequently asked questions about the Flowise MCP Server

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.