LibreChat MCP Server for Google ADKGive Google ADK instant access to 4 tools to Chat Completions, List Models, Login, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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],
)
* 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 completions on LibreChat
Model corresponds to an Agent ID. Create a chat completion using the Agents API
List models on LibreChat
List available LibreChat models/agents
Login on LibreChat
Login to LibreChat to get access and refresh tokens
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.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the LibreChat MCP Server
Google ADK provides unique advantages when paired with LibreChat through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with LibreChat
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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.
Enterprise data agents: ADK agents query LibreChat and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine LibreChat tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query LibreChat regularly and flag policy violations or configuration drift
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.
"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 Google ADK
Common issues when connecting LibreChat to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkLibreChat + Google ADK FAQ
Common questions about integrating LibreChat MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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