LibreChat MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 4 tools to Chat Completions, List Models, Login, and more

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

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LibreChat through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The LibreChat MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="LibreChat Assistant",
            instructions=(
                "You help users interact with LibreChat. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from LibreChat"
        )
        print(result.final_output)

asyncio.run(main())

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* 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.

The OpenAI Agents SDK auto-discovers all 4 tools from LibreChat through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries LibreChat, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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

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

open

Open responses on LibreChat

Create a response using the Open Responses API

Connect LibreChat to OpenAI Agents SDK via MCP

Follow these steps to wire LibreChat into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 4 tools from LibreChat

Why Use OpenAI Agents SDK with the LibreChat MCP Server

OpenAI Agents SDK provides unique advantages when paired with LibreChat through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

LibreChat + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the LibreChat MCP Server delivers measurable value.

Automated workflows: build agents that query LibreChat, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries LibreChat, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through LibreChat tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query LibreChat to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for LibreChat in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting LibreChat to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

LibreChat + OpenAI Agents SDK FAQ

Common questions about integrating LibreChat MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.