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Vinkius
Google ADKSDK
Google ADK
Why use Marqo AI (Vector Search & Embeddings) MCP Server with Google ADK?

Bring Semantic Search
to Google ADK

Create your Vinkius account to connect Marqo AI (Vector Search & Embeddings) 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.

MCP Inspector GDPR Free for Subscribers
Add DocumentsCreate IndexDelete DocumentsGet Index StatsList IndexesTensor Search
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Marqo AI (Vector Search & Embeddings)

What is the Marqo AI (Vector Search & Embeddings) MCP Server?

Connect your Marqo instance to any AI agent and take full control of your semantic search infrastructure, vector embeddings, and real-time document indexing through natural conversation.

What you can do

  • Tensor Search Orchestration — Execute dense semantic similarity searches against your indices using natural language queries, with Marqo handling embedding extraction automatically
  • Dynamic Document Ingestion — Write new JSON records into your vector indices directly from your agent, allowing for instant searchability of fresh data mappings
  • Index Lifecycle Management — Create explicitly bounded new vector indices with custom model settings and dimension constraints to optimize your search architecture
  • Vector Audit & Stats — Retrieve detailed configuration metrics for your indices, including document counts, embedding model types, and underlying schema mappings
  • Precision Deletion — Physically eradicate vectorized representations by targeting specific scalar identifiers to maintain a clean and relevant search index
  • Resource Inventory — List all available vector indices on your Marqo instance to identify collection boundaries before executing search queries

How it works

  1. Subscribe to this server
  2. Enter your Marqo API URL and API Key
  3. Start optimizing your semantic search from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Search Architects — test semantic relevance and verify index configurations through natural conversation without manual API tools
  • Machine Learning Engineers — monitor vector index stats and verify document embedding results directly from your workspace
  • Software Developers — integrate AI-powered search results into applications and manage document lifecycles across multiple Marqo environments efficiently

Built-in capabilities (6)

add_documents

Write new documents into Marqo

create_index

Create an explicitly bounded new vector index

delete_documents

Delete specific documents from Marqo by targeting their IDs

get_index_stats

Get configuration and stats for an index

list_indexes

Crucial before writing queries hitting arbitrary collections. List all Marqo vector indexes

tensor_search

Perform natural language tensor search on Marqo

Why Google ADK?

Google ADK natively supports Marqo AI (Vector Search & Embeddings) 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.

  • 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 Marqo AI (Vector Search & Embeddings)

  • 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 Marqo AI (Vector Search & Embeddings) tools with BigQuery, Vertex AI, and Cloud Functions

G
See it in action

Marqo AI (Vector Search & Embeddings) in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Marqo AI (Vector Search & Embeddings) with Vinkius?

The Marqo AI (Vector Search & Embeddings) 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.

Marqo AI (Vector Search & Embeddings)
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* 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

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Marqo AI (Vector Search & Embeddings) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Marqo AI (Vector Search & Embeddings) and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Marqo AI (Vector Search & Embeddings) 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.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Marqo AI (Vector Search & Embeddings) for Google ADK

Every request between Google ADK and Marqo AI (Vector Search & Embeddings) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Does Marqo handle the vector embeddings for me through the agent?

Yes. Marqo is an end-to-end engine. When you use the tensor_search tool, you provide natural language and Marqo handles the model inference and vector extraction under the hood, returning semantically relevant results immediately.

02

Can I add new data to a vector index through a conversation?

Absolutely. Use the add_documents tool by providing a JSON array of your documents. Your agent will synchronize these records into the target index, and they will be searchable via semantic query instantly.

03

How do I check the stats of my vector index?

The get_index_stats tool retrieves critical metrics for a specific index. Your agent will report the document count, memory usage, and configuration details, helping you monitor the health of your vector store.

04

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.

05

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.

06

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.

07

McpToolset not found

Update: pip install --upgrade google-adk

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