LibreChat MCP Server for WindsurfGive Windsurf instant access to 4 tools to Chat Completions, List Models, Login, and more
Windsurf brings agentic AI coding to a purpose-built IDE. Connect LibreChat 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 for Windsurf
The LibreChat MCP Server for Windsurf is a standout in the Productivity category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
{
"mcpServers": {
"librechat": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install LibreChat and 4,000+ MCP Servers from a single visual interface.





* 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 LibreChat MCP Server
Connect your LibreChat instance to any AI agent and gain programmatic control over your self-hosted AI ecosystem. This server allows you to bridge your custom agents and models with any MCP-compatible client.
Windsurf's Cascade agent chains multiple LibreChat tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 4 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Agent Orchestration — List all available agents and models configured in your LibreChat environment.
- Unified Completions — Create chat completions using the Agents API, providing an OpenAI-compatible interface for your custom setups.
- Open Responses — Utilize the Open Responses API specification to generate structured AI outputs.
- Session Management — Authenticate directly via email and password to retrieve access tokens when a static API key is not preferred.
The LibreChat MCP Server exposes 4 tools through the Vinkius. Connect it to Windsurf in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 LibreChat tools available for Windsurf
When Windsurf connects to LibreChat through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-orchestration, chat-interface, self-hosted, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Chat completions on LibreChat
Model corresponds to an Agent ID. Create a chat completion using the Agents API
List models on LibreChat
List available LibreChat models/agents
Login on LibreChat
Login to LibreChat to get access and refresh tokens
Open responses on LibreChat
Create a response using the Open Responses API
Connect LibreChat to Windsurf via MCP
Follow these steps to wire LibreChat into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open MCP Settings
Cmd+Shift+P and search "MCP"Add the server
mcp_config.jsonSave and reload
Start using LibreChat
Why Use Windsurf with the LibreChat MCP Server
Windsurf provides unique advantages when paired with LibreChat 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 4 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
LibreChat + Windsurf Use Cases
Practical scenarios where Windsurf combined with the LibreChat MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from LibreChat and generate models, types, or handlers based on real API responses
Live debugging: query LibreChat tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from LibreChat and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine LibreChat data with Cascade's code generation to scaffold entire features in minutes
Example Prompts for LibreChat in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with LibreChat immediately.
"List all available agents in my LibreChat instance."
"Login to LibreChat using my credentials."
"Ask agent_123 to summarize the latest trends in AI."
Troubleshooting LibreChat MCP Server with Windsurf
Common issues when connecting LibreChat to Windsurf through Vinkius, and how to resolve them.
Server not connecting
LibreChat + Windsurf FAQ
Common questions about integrating LibreChat 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.Explore More MCP Servers
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