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Rendi MCP Server for Google ADKGive Google ADK instant access to 11 tools to Convert Video To Audio, Delete File, Ffprobe, and more

Built by Vinkius GDPR 11 Tools SDK

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

Ask AI about this App Connector for Google ADK

The Rendi app connector for Google ADK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="rendi_agent",
    instruction=(
        "You help users interact with Rendi "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)
Rendi
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 Rendi MCP Server

Connect your Rendi account to any AI agent and take full control of your cloud-based media processing and FFmpeg orchestration through natural conversation. Rendi provides a serverless platform for executing professional video and audio commands, allowing you to convert formats, generate thumbnails, and probe media metadata directly from your chat interface.

Google ADK natively supports Rendi as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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

  • FFmpeg Command Orchestration — Run any standard FFmpeg command in the cloud programmatically without managing server infrastructure.
  • Media Format Intelligence — Convert videos to audio, generate GIFs, and create thumbnails directly from the AI interface using simple natural language.
  • Chained Workflow Control — Execute multiple media commands in a single request to automate complex processing pipelines.
  • FFprobe & Metadata Analysis — Analyze media files and retrieve technical metadata to ensure your assets meet professional standards.
  • Operational Monitoring — Track system activity and manage temporary cloud storage files using simple AI commands.

The Rendi MCP Server exposes 11 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.

All 11 Rendi tools available for Google ADK

When Google ADK connects to Rendi through Vinkius, your AI agent gets direct access to every tool listed below — spanning ffmpeg, media-processing, video-transcoding, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

convert_video_to_audio

Quickly convert a video to audio

delete_file

Delete a file from Rendi storage

ffprobe

Analyze a media file using ffprobe

generate_thumbnail

Generate a thumbnail from a video

get_command_status

Once completed, it provides the storage URL for output files. Get status of an FFmpeg command

get_file_details

Get details for a stored file

get_file_info

Get metadata and details for a specific file

list_commands

List all submitted FFmpeg commands

list_files

List all files in Rendi storage

run_chained_ffmpeg_commands

Run multiple chained FFmpeg commands

run_ffmpeg_command

Returns a command ID to poll for status. Run a single FFmpeg command in the cloud

Connect Rendi to Google ADK via MCP

Follow these steps to wire Rendi into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the 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 11 tools from Rendi via MCP

Why Use Google ADK with the Rendi MCP Server

Google ADK provides unique advantages when paired with Rendi 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 Rendi

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 Rendi tools with BigQuery, Vertex AI, and Cloud Functions

Rendi + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Rendi 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 Rendi

Example Prompts for Rendi in Google ADK

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

01

"Analyze this media file for technical metadata: https://example.com/video.mp4"

02

"Convert this MP4 video to WebM format with H265 encoding and reduce the file size by 50%."

03

"Analyze the media properties of the uploaded video file and show me all codec and stream details."

Troubleshooting Rendi MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Rendi + Google ADK FAQ

Common questions about integrating Rendi 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.