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 Connector for Claude

A+

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

7 tools Official Updated Jun 28, 2026 Official Vinkius Partner

More Details Connect to Claude

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

Subscribe to this server
Enter your Flowise Base URL and API Key (found in your Flowise Settings)
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

llm-orchestrationrag-pipelineslow-codeai-agentsworkflow-automationchatflows

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