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Connect LibreChat to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run your private LLM ecosystem through any MCP-compatible client.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through LibreChat.

  1. 01

    Chat completions

    Triggers a chat completion through the Agents API. You specify an Agent ID as the model to get responses from your custom-configured agents.

  2. 02

    List models

    Retrieves a list of all models and agents currently configured in your LibreChat environment.

  3. 03

    Login

    Authenticates your session with LibreChat. It retrieves the access and refresh tokens needed to keep your connection active using your email and password.

  4. 04

    Open responses

    Generates a response using the Open Responses API specification for structured outputs.

Real work

What teams actually run

01

IDE Integration

Use your custom-tuned LibreChat agents to help write or debug code directly in Cursor or VS Code.

02

Workflow Automation

Trigger specific LibreChat agents to process data as part of a larger automated script.

03

Centralized Model Management

Access a variety of private LLMs through a single connection in your AI client.

04

Structured Data Generation

Use the Open Responses API to get predictable, structured outputs from your agents.

Automate a task

Put LibreChat to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

LibreChat works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put LibreChat to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

925ms average. Fast in production.

LibreChat is checked daily against the live service.

Daily averagePeak 1188ms
Oct 3Today
Fastest day
665ms
Slowest day
1188ms
14-day trend
Slowing+13%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of LibreChat, so you can see the experience inside your AI.

It does not authenticate your account with LibreChat. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

LibreChat Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_2Y5OcBZjfHKkJsGbCGI3uDOzGTusTgIZgBtbs3a3/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — LibreChat capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "librechat-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2Y5OcBZjfHKkJsGbCGI3uDOzGTusTgIZgBtbs3a3/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up LibreChat in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work LibreChat owners hand off.

This is built for people running their own AI infrastructure who want to use those models inside their professional capabilities.

  • 01

    AI Engineers

    They pull self-hosted agents into automated workflows or IDEs.

  • 02

    DevOps Teams

    They query model configurations across different environments.

  • 03

    Power Users

    They centralize access to multiple private LLMs through one interface.

FAQ

Questions LibreChat owners ask.

  • 01

    How do I connect my LibreChat instance?

    You provide your LibreChat Base URL and either an API Key or use the login capability with your credentials.

  • 02

    Can I use my existing agents?

    Yes, the MCP can list and interact with any agents you have already configured in your LibreChat environment.

  • 03

    Which AI clients can I use this with?

    You can use this with any MCP-compatible client, such as Claude, Cursor, Windsurf, or VS Code.

  • 04

    Do I need a static API key?

    No, you can use the login capability to authenticate via email and password to get access and refresh tokens.

  • 05

    Is this for hosted or self-hosted LibreChat?

    This MCP is designed to connect to your self-hosted LibreChat ecosystem.

  • 06

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

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

  • 07

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

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

  • 08

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

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

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