How to Use the Flowise MCP in VS Code Copilot

Q: How do I share the Flowise setup in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and add the Flowise MCP Server details. Once committed, any team member with the Copilot extension gets automatic access to the tools.

Q: How do we check Flowise credentials inside VS Code Copilot?

The agent uses listcredentials to show which keys are configured on your server. It only displays metadata, ensuring actual raw credentials are never leaked in the chat.

Q: Does this MCP Server support both chatflows and agentflows?

Yes. The server uses listchatflows and listagentflows to handle both standard sequential pipelines and complex multi-agent setups, letting you run predictions on either.

Q: Is our Flowise chat history secure when using VS Code?

Yes, it is secure. The gethistory tool queries your own database directly. Your chat logs and history parameters are never routed through external third-party logging servers.

Connect your team's VS Code Copilot agent to Flowise pipelines to run predictions and inspect active workflows.

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Connect Flowise MCP to VS Code Copilot

Create your Vinkius account to connect Flowise to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Flowise with VS Code Copilot

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Execute Flowise pipelines from VS Code Copilot

The Flowise MCP Server allows your development team to run visual backend flows directly from the VS Code Copilot chat window. Your agent uses the `predict` tool to trigger predictions and verify API responses during development. By committing the configuration to your repo, every developer on your team gets instant access to the same testing tools. You do not have to share API keys or manual curl commands anymore.

Map visual backend architectures in your workspace

This MCP Server exposes your visual infrastructure to your local development environment. The agent uses `list_chatflows` and `list_agentflows` to catalog every active route available on your server. When you need to inspect a specific route, the agent uses `get_chatflow` to pull its node structure. It gives your team complete visibility into how data flows through your low-code backend.

Track execution histories and active integrations

Monitoring performance across your team is simple with integrated logging. Your agent uses `get_history` to fetch recent execution runs, making it easy to debug failing steps in collaborative projects. To check your environment setup, the agent uses `list_credentials` and `list_tools` to verify active API connections. This ensures your local workspace is properly aligned with your production server configurations.

Setup guide

Set up Flowise MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Flowise MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Flowise tools listed. Try asking: "List my recent Flowise transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "flowise-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flowise. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Flowise MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and add the Flowise MCP Server details. Once committed, any team member with the Copilot extension gets automatic access to the tools.

Yes. As long as your VS Code Copilot agent can reach your Flowise endpoint, it uses the `predict` tool to trigger both public and private chatflows securely.

The agent uses `list_credentials` to show which keys are configured on your server. It only displays metadata, ensuring actual raw credentials are never leaked in the chat.

Yes. The server uses `list_chatflows` and `list_agentflows` to handle both standard sequential pipelines and complex multi-agent setups, letting you run predictions on either.

Yes, it is secure. The `get_history` tool queries your own database directly. Your chat logs and history parameters are never routed through external third-party logging servers.

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