3,400+ MCP servers ready to use
Vinkius

Bring Llm Workflows
to Claude Code

Learn how to connect FlowiseAI to Claude Code and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Execute Chatflow PredictionGet Chatflow DetailsGet Server VersionList Ai AssistantsList Chat FeedbackList ChatflowsList External ToolsList Flow LeadsList Flow VariablesList Flowise CredentialsList Marketplace TemplatesUpsert Vector Data
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the 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.

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

How it works

1. Subscribe to this server
2. Enter your Flowise Instance URL and API Key
3. Start orchestrating your LLM flows from Claude, Cursor, or any MCP client

No more manual testing in the Flowise UI for every prediction. Your AI acts as your dedicated LLM operations and orchestration coordinator.

Who is this for?

  • AI Developers — instantly test and trigger complex orchestration flows using natural language queries
  • Data Engineers — automate document ingestion into vector stores without leaving your workspace
  • Product Managers — monitor chatflow performance and review captured leads through simple AI commands

Built-in capabilities (12)

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

Why Claude Code?

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.

  • —

    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

See it in action

FlowiseAI in Claude Code

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

FlowiseAI and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect FlowiseAI to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for Claude Code →
Enterprise Security

Why teams choose Vinkius for FlowiseAI in Claude Code

The FlowiseAI 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code 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, zero maintenance.

Use with Your AI Agent View full FlowiseAI details →
FlowiseAI
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

The Vinkius Advantage

How Vinkius secures FlowiseAI for Claude Code

Every tool call from Claude Code to the FlowiseAI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

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.

05

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.

06

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.

07

Command not found: claude

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

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable