How do I find my API Key in Flowise?

Log in to your Flowise dashboard and click on the **API Keys** tab in the sidebar to generate or copy your unique token.

Does this support multi-tenant instances?

Yes! Ensure you provide the full Instance URL and the API Key corresponding to the specific environment you want to manage.

Can I push documents to vector stores via AI?

Absolutely. Use the `upsert_vector_data` tool by providing the `chatflow_id` and the JSON payload containing your document data.

INSTANT PLUG AND PLAY

FlowiseAI MCP Server for Claude CodeGive Claude Code instant access to 12 tools to Execute Chatflow Prediction, Get Chatflow Details, Get Server Version, and more

Name: FlowiseAI
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools CLI

Claude Code is Anthropic's agentic CLI for terminal-first development. Add FlowiseAI as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Use with Your AI Agent

Ask AI about this App Connector for Claude Code

Open in ChatGPT Open in Claude Open in Perplexity

The FlowiseAI app connector for Claude Code 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

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install FlowiseAI and 3,400+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·bash

# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add flowiseai --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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 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.

Claude Code registers FlowiseAI as an MCP server in a single terminal command. Once connected, Claude Code discovers all 12 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where FlowiseAI data drives decisions without human intervention.

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 Claude Code 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 Claude Code

When Claude Code 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 Claude Code via MCP

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

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

Add the MCP Server

Run the command above in your terminal

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

Start using FlowiseAI

Ask Claude: "Using FlowiseAI, show me...". 12 tools are ready

Why Use Claude Code with the FlowiseAI MCP Server

Claude Code provides unique advantages when paired with FlowiseAI through the Model Context Protocol.

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

Claude Code runs headlessly, enabling unattended batch processing using FlowiseAI tools in cron jobs or deployment scripts

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

FlowiseAI + Claude Code Use Cases

Practical scenarios where Claude Code combined with the FlowiseAI MCP Server delivers measurable value.

CI/CD integration: embed FlowiseAI tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

Headless batch processing: schedule Claude Code to query FlowiseAI nightly and generate reports without human intervention

Shell scripting: pipe FlowiseAI outputs into other CLI tools for data transformation, filtering, and aggregation

Infrastructure monitoring: run Claude Code in a cron job to query FlowiseAI status endpoints and alert on anomalies

Example Prompts for FlowiseAI in Claude Code

Ready-to-use prompts you can give your Claude Code agent to start working with FlowiseAI immediately.

"List all my chatflows in Flowise."

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

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

Troubleshooting FlowiseAI MCP Server with Claude Code

Common issues when connecting FlowiseAI to Claude Code through the Vinkius, and how to resolve them.

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

Connection timeout

Check your internet connection and verify the Edge URL is reachable

FlowiseAI + Claude Code FAQ

Common questions about integrating FlowiseAI MCP Server with Claude Code.

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.