LlamaCloud (Managed RAG & Parsing) 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 LlamaCloud (Managed RAG & Parsing) as an MCP tool provider through the 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="llamacloud_managed_rag_parsing_agent",
instruction=(
"You help users interact with LlamaCloud (Managed RAG & Parsing) "
"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 LlamaCloud (Managed RAG & Parsing) MCP Server
Connect your LlamaCloud account to any AI agent and take full control of your enterprise RAG infrastructure and AI-powered document parsing through natural conversation.
Google ADK natively supports LlamaCloud (Managed RAG & Parsing) as an MCP tool provider — declare the 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
- Pipeline Orchestration — List all deployed data pipelines and retrieve detailed configurations including connected sources and index settings directly from your agent
- AI Document Parsing — Dispatch complex files (PDFs, docs) to LlamaParse to convert intricate layouts, tables, and handwriting into structured Markdown context
- Job Monitoring — Track the status of ongoing parsing jobs and retrieve extraction results once processing is complete to power your AI workflows
- Project Management — Navigate high-level LlamaCloud projects managing collections of pipelines and queryable indices securely
- Unstructured Data Ingestion — Monitor the flow of raw data into your managed indices and verify processing states for high-quality LLM grounding
- Diagnostic Audit — Fetch final parsed outputs and job traces to ensure data integrity and layout accuracy across your RAG pipeline
The LlamaCloud (Managed RAG & Parsing) 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 LlamaCloud (Managed RAG & Parsing) to Google ADK via MCP
Follow these steps to integrate the LlamaCloud (Managed RAG & Parsing) 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 LlamaCloud (Managed RAG & Parsing) via MCP
Why Use Google ADK with the LlamaCloud (Managed RAG & Parsing) MCP Server
Google ADK provides unique advantages when paired with LlamaCloud (Managed RAG & Parsing) 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 LlamaCloud (Managed RAG & Parsing)
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 LlamaCloud (Managed RAG & Parsing) tools with BigQuery, Vertex AI, and Cloud Functions
LlamaCloud (Managed RAG & Parsing) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the LlamaCloud (Managed RAG & Parsing) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query LlamaCloud (Managed RAG & Parsing) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine LlamaCloud (Managed RAG & Parsing) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query LlamaCloud (Managed RAG & Parsing) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including LlamaCloud (Managed RAG & Parsing)
LlamaCloud (Managed RAG & Parsing) MCP Tools for Google ADK (6)
These 6 tools become available when you connect LlamaCloud (Managed RAG & Parsing) to Google ADK via MCP:
create_parsing_upload
Dispatch a file explicitly to LlamaParse
get_parsing_result
Retrieve the final markdown/rich-text extraction from LlamaParse
get_pipeline
Get configuration details for a specific pipeline
list_parsing_jobs
List LlamaParse active parsing jobs tracking document ingestion
list_pipelines
List LlamaCloud deployed data pipelines
list_projects
List active LlamaCloud projects
Example Prompts for LlamaCloud (Managed RAG & Parsing) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with LlamaCloud (Managed RAG & Parsing) immediately.
"List all active data pipelines in my LlamaCloud account"
"Parse this PDF file using LlamaParse: 'annual_report_2024.pdf'"
"Show me the configuration for the 'Technical-Docs-RAG' pipeline"
Troubleshooting LlamaCloud (Managed RAG & Parsing) MCP Server with Google ADK
Common issues when connecting LlamaCloud (Managed RAG & Parsing) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkLlamaCloud (Managed RAG & Parsing) + Google ADK FAQ
Common questions about integrating LlamaCloud (Managed RAG & Parsing) 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 LlamaCloud (Managed RAG & Parsing) with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect LlamaCloud (Managed RAG & Parsing) to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.