Bring Semantic Search
to OpenAI Agents SDK
Create your Vinkius account to connect Marqo AI (Vector Search & Embeddings) to OpenAI Agents SDK 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 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
- Subscribe to this server
- Enter your Marqo API URL and API Key
- 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)
Write new documents into Marqo
Create an explicitly bounded new vector index
Delete specific documents from Marqo by targeting their IDs
Get configuration and stats for an index
Crucial before writing queries hitting arbitrary collections. List all Marqo vector indexes
Perform natural language tensor search on Marqo
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 6 tools from Marqo AI (Vector Search & Embeddings) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Marqo AI (Vector Search & Embeddings), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Marqo AI (Vector Search & Embeddings) in OpenAI Agents SDK
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.
* 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 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.
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 OpenAI Agents SDK 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
Marqo AI (Vector Search & Embeddings) for OpenAI Agents SDK
Every request between OpenAI Agents SDK 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.
Frequently asked questions
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.
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.
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.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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