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LibreChat MCP Server for Google ADKGive Google ADK instant access to 4 tools to Chat Completions, List Models, Login, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add LibreChat as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The LibreChat MCP Server for Google ADK 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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python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="librechat_agent",
    instruction=(
        "You help users interact with LibreChat "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)
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

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.

Google ADK natively supports LibreChat as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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

Login to LibreChat to get access and refresh tokens

open

Open responses on LibreChat

Create a response using the Open Responses API

Connect LibreChat to Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 4 tools from LibreChat via MCP

Why Use Google ADK with the LibreChat MCP Server

Google ADK provides unique advantages when paired with LibreChat through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with LibreChat

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine LibreChat tools with BigQuery, Vertex AI, and Cloud Functions

LibreChat + Google ADK Use Cases

Practical scenarios where Google ADK combined with the LibreChat MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query LibreChat and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine LibreChat tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query LibreChat regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including LibreChat

Example Prompts for LibreChat in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with LibreChat immediately.

01

"List all available agents in my LibreChat instance."

02

"Login to LibreChat using my credentials."

03

"Ask agent_123 to summarize the latest trends in AI."

Troubleshooting LibreChat MCP Server with Google ADK

Common issues when connecting LibreChat to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

LibreChat + Google ADK FAQ

Common questions about integrating LibreChat MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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