Bring Llm Orchestration
to LangChain
Create your Vinkius account to connect Flowise to LangChain and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
Built-in capabilities (7)
Get chatflow details
Get chat execution history
List agentflows
List chatflows
List credentials
List available tools
Run prediction on chatflow
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Flowise through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Flowise MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Flowise queries for multi-turn workflows
Flowise in LangChain
Why run Flowise with Vinkius?
The Flowise connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Flowise using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Flowise and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Flowise to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Flowise for LangChain
Every request between LangChain and Flowise is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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