WindsurfIDE

LibreChat MCP Server

Bring Llm Orchestration
to Windsurf

Name: LibreChat MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect LibreChat to Windsurf and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Chat CompletionsList ModelsLoginOpen Responses

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Provide your LibreChat Base URL and API Key (or use the login tool)
Start interacting with your private LLM agents through Claude, Cursor, or other MCP tools.

Who is this for?

AI Engineers — integrate self-hosted LibreChat agents into automated workflows and IDEs.
DevOps Teams — monitor and query available model configurations across different environments.
Power Users — centralize access to multiple private LLMs through a single, secure interface.

Built-in capabilities (4)

chat_completions

Model corresponds to an Agent ID. Create a chat completion using the Agents API

list_models

List available LibreChat models/agents

open_responses

Create a response using the Open Responses API

Why Windsurf?

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.

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Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
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Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
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JSON-based configuration means zero code changes: paste a URL, reload, and all 4 tools are immediately available
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Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

See it in action

LibreChat in Windsurf

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

LibreChat and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect LibreChat to Windsurf through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Windsurf →

Enterprise Security

Why teams choose Vinkius for LibreChat in Windsurf

The LibreChat 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Windsurf only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full LibreChat details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
LibreChat for Windsurf

Every tool call from Windsurf to the LibreChat MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I see which agents are currently available in my LibreChat instance?

You can use the list_models tool. It will query your configured LibreChat instance and return a list of all accessible agents and models associated with your credentials.

Can I use this server to chat with a specific agent by its ID?

Yes! Use the chat_completions tool. Simply provide the model (which is the Agent ID) and an array of messages to generate a response from that specific agent.

What should I do if I don't have a static API key for my instance?

You can use the login tool. By providing your email and password, the server will authenticate with LibreChat and retrieve the necessary access tokens for subsequent requests.

How does Windsurf discover MCP tools?

Windsurf reads the 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?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.