Flowise MCP Server for Windsurf 7 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Flowise through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Flowise and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"flowise": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 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.
Windsurf's Cascade agent chains multiple Flowise tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 7 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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
The Flowise MCP Server exposes 7 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Flowise to Windsurf via MCP
Follow these steps to integrate the Flowise MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Flowise
Open Cascade and ask: "Using Flowise, help me...". 7 tools available
Why Use Windsurf with the Flowise MCP Server
Windsurf provides unique advantages when paired with Flowise through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 7 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Flowise + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Flowise MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Flowise and generate models, types, or handlers based on real API responses
Live debugging: query Flowise tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Flowise and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Flowise data with Cascade's code generation to scaffold entire features in minutes
Flowise MCP Tools for Windsurf (7)
These 7 tools become available when you connect Flowise to Windsurf via MCP:
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
Example Prompts for Flowise in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Flowise immediately.
"Ask chatflow 'abc-123': 'Summarize this document: [Context]'"
"List all active chatflows in my instance"
"Show me the execution history for chatflow 'Legal-Assistant'"
Troubleshooting Flowise MCP Server with Windsurf
Common issues when connecting Flowise to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Flowise + Windsurf FAQ
Common questions about integrating Flowise MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Flowise with your favorite client
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Connect Flowise to Windsurf
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.