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LibreChat

LibreChat MCP Server with 4 Tools for Claude, Cursor, and AI Agents

MCP Inspector GDPR Free for Subscribers

Orchestrate your LibreChat instance — manage agents, list available models, and generate AI completions via the Agents and Open Responses APIs. Vinkius routes your AI agents directly to LibreChat through a governed connection. 4 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.

Built for AI Agents by Vinkius

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
AI AgentVinkius
High Security·Kill Switch·Plug and Play
LibreChat
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

What is the LibreChat MCP Server?

The LibreChat MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to LibreChat via 4 tools. Orchestrate your LibreChat instance — manage agents, list available models, and generate AI completions via the Agents and Open Responses APIs. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.

Built-in capabilities (4)

chat_completionslist_modelsloginopen_responses

Tools for your AI Agents to operate LibreChat

Ask your AI agent "List all available agents in my LibreChat instance." and get the answer without opening a single dashboard. With 4 tools connected to real LibreChat data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.

Build your own MCP Server with our secure development framework →

The LibreChat App Connector works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Use all 4 LibreChat tools with your AI agents right now

Vinkius routes your AI agents to LibreChat through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.

Explore Tools Hub
chat

Chat completions on LibreChat

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

list

List models on LibreChat

List available LibreChat models/agents

action

Login on LibreChat

Login to LibreChat to get access and refresh tokens

open

Open responses on LibreChat

Create a response using the Open Responses API

What the LibreChat MCP Server unlocks

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

1. Subscribe to this server
2. Provide your LibreChat Base URL and API Key (or use the login tool)
3. 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.

Frequently asked questions about the LibreChat MCP Server

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.

Vinkius AI Gateway

We built the connector to LibreChat. Now put your agents to work. Fully governed.

Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.

How it works
Infrastructure

Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.

Visibility

Every tool call, every token, every response. Logged and auditable. Data flows direct from LibreChat to your agent. Nothing is stored on our side. Ever.

Control

Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.