How to Use the LibreChat MCP in Windsurf

Q: How do I configure the LibreChat MCP Server in Windsurf?

Open your MCP settings panel or edit the mcpconfig.json file in your .codeium directory. Add the server details there, then hit refresh to let Windsurf detect the tools.

Q: Can Windsurf use LibreChat agents for code generation?

Yes. Once you connect the server, Windsurf can call chatcompletions to route specific coding tasks to your custom agents.

Connect LibreChat to Windsurf to trigger agentic workflows directly from your IDE context.

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Connect LibreChat MCP to Windsurf

Create your Vinkius account to connect LibreChat to Windsurf 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 LibreChat with Windsurf

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Manage agents with Windsurf

Use the `list_models` tool to pull your existing LibreChat agents directly into your Cascade context. Windsurf sees your available models without you leaving the editor. Once the models are indexed, you can reference specific agent IDs in your prompts. Cascade handles the mapping, so you just tell it what to build.

Execute completions via MCP Server

Trigger the `chat_completions` tool to feed your local codebase context into a LibreChat agent. It runs the logic and returns the output straight into your active window. You don't need to copy-paste responses. The server pipes the raw completion data back to Windsurf, letting you iterate on code blocks instantly.

Automate sessions in Windsurf

Call `login` to establish your session tokens within the MCP Server environment. This ensures your IDE has persistent access to your instance configurations. After auth is handled, the server maintains the connection. You can switch between agents or run multiple `open_responses` requests during a single coding session.

Setup guide

Set up LibreChat MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the LibreChat MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my LibreChat payment history." If connected, Cascade will call the LibreChat tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LibreChat. 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 LibreChat MCP in Windsurf

Open your MCP settings panel or edit the `mcp_config.json` file in your `.codeium` directory. Add the server details there, then hit refresh to let Windsurf detect the tools.

Yes. Once you connect the server, Windsurf can call `chat_completions` to route specific coding tasks to your custom agents.

Windsurf chains these tools together effectively. You can list models, authenticate, and generate content as part of a single autonomous Cascade flow.

Your data travels between the LibreChat instance and your local IDE. The MCP Server only touches your session tokens and the specific text strings returned by the API.

The server uses your endpoint tokens to verify access. Windsurf stores these securely in your local configuration, keeping your credentials isolated from the broader workspace.

Use it with your favorite AI tools

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