R2R MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add R2R 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="r2r_agent",
instruction=(
"You help users interact with R2R "
"using 6 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 R2R MCP Server
Connect your R2R (Rag to Riches) deployment to an AI agent, bringing your RAG infrastructure inside your chat interface. By linking this server, the AI can query its own constructed knowledge base on demand.
Google ADK natively supports R2R as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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
- Vector Search — Perform semantic similarity queries across your document database to retrieve contextually relevant chunks of information.
- Execute RAG Queries — Use the 'rag_query' endpoint to have the R2R server directly summarize information based on vector data.
- Knowledge Management — Call the API to list ingested documents, read metadata attributes, and filter logical collections.
- Instance Health Monitoring — Quickly ping the connection using health checks to verify your system is responsive.
The R2R MCP Server exposes 6 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 R2R to Google ADK via MCP
Follow these steps to integrate the R2R 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 6 tools from R2R via MCP
Why Use Google ADK with the R2R MCP Server
Google ADK provides unique advantages when paired with R2R 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 R2R
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 R2R tools with BigQuery, Vertex AI, and Cloud Functions
R2R + Google ADK Use Cases
Practical scenarios where Google ADK combined with the R2R MCP Server delivers measurable value.
Enterprise data agents: ADK agents query R2R and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine R2R tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query R2R regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including R2R
R2R MCP Tools for Google ADK (6)
These 6 tools become available when you connect R2R to Google ADK via MCP:
get_document
Retrieves details for a specific document
get_health
Checks the health status of the R2R server
list_collections
Lists all document collections
list_documents
Lists all ingested documents in the R2R system
rag_query
Executes a RAG (Retrieval-Augmented Generation) query
search
Performs a vector search across ingested documents
Example Prompts for R2R in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with R2R immediately.
"Perform a vector search for 'Company Holiday Policy 2026'."
"Query the RAG engine to summarize known advanced RAG chunking strategies."
"Verify the operational health of the R2R server."
Troubleshooting R2R MCP Server with Google ADK
Common issues when connecting R2R to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkR2R + Google ADK FAQ
Common questions about integrating R2R 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 R2R with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 R2R to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.