Bring Rag
to Google ADK
Create your Vinkius account to connect LlamaIndex (AI Data Framework & RAG) to Google ADK and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the LlamaIndex (AI Data Framework & RAG) MCP Server?
Connect your LlamaIndex (LlamaCloud) account to any AI agent and take full control of your RAG data framework and semantic search orchestration through natural conversation.
What you can do
- RAG Orchestration — Execute structural natural language queries directly against your data pipelines to retrieve synthesized answers grounded in your source documents
- Index Visibility — List managed active indices wrapping your semantic stores and verify how your data is distributed across indexed databases
- File Audit — Retrieve explicit metadata for raw source files currently ingested by your pipelines to verify document tracking and ingestion limits
- Pipeline Management — List deployed data pipelines and retrieve detailed configurations including connected sources and embedding settings directly from your agent
- Project CRM — Navigate across high-level LlamaIndex projects managing collections of pipelines and queryable semantic search boundaries securely
- Real-time Synthesis — Use your agent to perform real-time RAG extraction, ensuring your AI workflows are powered by accurate, indexed enterprise knowledge
How it works
- Subscribe to this server
- Enter your LlamaCloud API Key
- Start querying your enterprise knowledge from Claude, Cursor, or any MCP-compatible client
Who is this for?
- RAG Developers — test semantic search relevancy and query RAG pipelines through natural conversation without writing manual Python boilerplate
- AI Engineers — monitor document ingestion statuses and verify indexed file metadata to ensure high-quality fact-grounding for AI agents
- Data Scientists — audit semantic index structures and manage data pipeline configurations across multiple enterprise AI projects efficiently
Built-in capabilities (6)
Get configuration details for a specific pipeline
List raw source files currently ingested by a pipeline
List LlamaCloud active indexes
List LlamaCloud deployed data pipelines
List active LlamaCloud projects
Execute a natural language query against a specific Pipeline
Why Google ADK?
Google ADK natively supports LlamaIndex (AI Data Framework & RAG) 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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with LlamaIndex (AI Data Framework & RAG)
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine LlamaIndex (AI Data Framework & RAG) tools with BigQuery, Vertex AI, and Cloud Functions
LlamaIndex (AI Data Framework & RAG) in Google ADK
Why run LlamaIndex (AI Data Framework & RAG) with Vinkius?
The LlamaIndex (AI Data Framework & RAG) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect LlamaIndex (AI Data Framework & RAG) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
LlamaIndex (AI Data Framework & RAG) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect LlamaIndex (AI Data Framework & RAG) to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
LlamaIndex (AI Data Framework & RAG) for Google ADK
Every request between Google ADK and LlamaIndex (AI Data Framework & RAG) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I query my indexed documents using natural language through my agent?
Yes. Use the query_pipeline tool by providing the Pipeline ID and your natural language question. Your agent will trigger a real-time RAG extraction and return a synthesized answer based on the relevant source documents found in the index.
How do I check which files have been successfully ingested into a pipeline?
The list_files tool allows your agent to retrieve explicit metadata for all physical documents attached to a pipeline. This is perfect for auditing your data source boundaries and ensuring all required documents are correctly indexed.
Can my agent manage multiple semantic indices?
Absolutely. Use the list_indexes tool to see all active semantic stores managed by LlamaCloud. Your agent will report the index names and types, making it easy to identify the correct target for your search or ingestion workflows.
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.
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.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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