NVIDIA NIM MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add NVIDIA NIM 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
Vinkius supports streamable HTTP and SSE.
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="nvidia_nim_agent",
instruction=(
"You help users interact with NVIDIA NIM "
"using 8 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 NVIDIA NIM MCP Server
What you can do
Take complete proxy command over physically hosted NIM limits checking analytics gracefully explicitly across local GPUs:
Google ADK natively supports NVIDIA NIM as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- Track Hardware Executions natively reading active telemetry resolving explicitly limits dynamically
- Extract Native Profiling determining exactly implicit LLMs mapping currently logically loaded securely
- Check Execution Bounds resolving liveness checking physically bound proxy nodes gracefully
- Map GPU Variables catching constraints logging strictly logical memory parameters efficiently
- Execute Host Audits asserting physical bounds securely over explicitly natively mounted docker endpoints
The NVIDIA NIM MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect NVIDIA NIM to Google ADK via MCP
Follow these steps to integrate the NVIDIA NIM MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 8 tools from NVIDIA NIM via MCP
Why Use Google ADK with the NVIDIA NIM MCP Server
Google ADK provides unique advantages when paired with NVIDIA NIM 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 NVIDIA NIM
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 NVIDIA NIM tools with BigQuery, Vertex AI, and Cloud Functions
NVIDIA NIM + Google ADK Use Cases
Practical scenarios where Google ADK combined with the NVIDIA NIM MCP Server delivers measurable value.
Enterprise data agents: ADK agents query NVIDIA NIM and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine NVIDIA NIM tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query NVIDIA NIM regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including NVIDIA NIM
NVIDIA NIM MCP Tools for Google ADK (8)
These 8 tools become available when you connect NVIDIA NIM to Google ADK via MCP:
nim_check_health_live
Execute liveness probes natively evaluating if the physical host container orchestrator is responsive
nim_check_health_ready
Detect if the GPU inference layers have successfully loaded the explicitly configured model artifacts natively
nim_get_container_logs
Fetch explicit execution parameters catching native stdout proxies bound cleanly to the orchestrator layer securely
nim_get_gpu_status
Parse explicit GPU topological limits mapped onto the NIM proxy securely formatting active hardware memory variables cleanly
nim_get_metadata
Pull logical engine execution metrics mapping exactly the loaded foundational configuration bounds natively secure
nim_get_metrics
Extract Prometheus hardware scaling metrics explicitly from the NIM orchestrator natively
nim_list_models
Dump explicit active LLMs securely allocating inference targets over the logical backend array cleanly
nim_scale_replicas
Dynamically orchestrate bounds adjusting native hardware replication proxy assignments scaling execution layers
Example Prompts for NVIDIA NIM in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with NVIDIA NIM immediately.
"Analyze container limits executing active native probes mapped on the physical server to check explicit liveness natively securely."
"Dump active LLM targets explicitly listing matrices isolating natively loaded models natively secure."
"Extract explicit proxy hardware telemetry strictly extracting native GPU metrics logically evaluating bounds attached to the docker bounds natively."
Troubleshooting NVIDIA NIM MCP Server with Google ADK
Common issues when connecting NVIDIA NIM to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkNVIDIA NIM + Google ADK FAQ
Common questions about integrating NVIDIA NIM 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?
Connect NVIDIA NIM with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect NVIDIA NIM to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.