4,000+ servers built on MCP Fusion
Vinkius
AutoGenFramework
AutoGen
Why use Zilliz Cloud MCP Server with AutoGen?

Bring Similarity Search
to AutoGen

Create your Vinkius account to connect Zilliz Cloud to AutoGen and start using all 10 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
Create CollectionDelete EntitiesDescribe CollectionDrop CollectionInsert EntitiesList CollectionsLoad CollectionQuery EntitiesRelease CollectionSearch Vectors
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Zilliz Cloud

What is the Zilliz Cloud MCP Server?

Connect your Zilliz Cloud cluster to any AI agent to automate your vector database operations. This MCP server enables your agent to manage collections, insert data, and perform high-performance similarity searches directly from natural language.

What you can do

  • Collection Management — List, describe, create, and drop vector collections in your cluster
  • Memory Control — Load and release collections to optimize cluster resource usage and search availability
  • Vector Search — Execute complex vector similarity searches (ANN) using customizable metrics and parameters
  • Metadata Querying — Query entities using boolean expressions and metadata filters to find specific records
  • Data Maintenance — Insert new vector/scalar data and delete entities from your collections

How it works

  1. Subscribe to this server
  2. Enter your Zilliz Cluster Endpoint and API Key
  3. Start managing your vector data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • AI Engineers — Quickly test vector searches and verify collection schemas via natural language
  • Data Scientists — Monitor cluster health and data distribution without writing boilerplate code
  • Developers — Integrate vector database management and retrieval into your development workflow

Built-in capabilities (10)

create_collection

Requires a JSON body. Create a new vector collection

delete_entities

Delete entities from a collection

describe_collection

Get details for a specific collection

drop_collection

Drop a collection

insert_entities

Insert data into a collection

list_collections

List all collections in the Zilliz cluster

load_collection

Load a collection into memory

query_entities

Query entities using metadata filtering

release_collection

Release a collection from memory

search_vectors

Requires a JSON search configuration. Perform a vector similarity search

Why AutoGen?

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Zilliz Cloud tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

  • Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Zilliz Cloud tools to solve complex tasks

  • Role-based architecture lets you assign Zilliz Cloud tool access to specific agents. a data analyst queries while a reviewer validates

  • Human-in-the-loop support: agents can pause for human approval before executing sensitive Zilliz Cloud tool calls

  • Code execution sandbox: AutoGen agents can write and run code that processes Zilliz Cloud tool responses in an isolated environment

A
See it in action

Zilliz Cloud in AutoGen

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

Why run Zilliz Cloud with Vinkius?

The Zilliz Cloud 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 10 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.

Zilliz Cloud
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 Zilliz Cloud using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Zilliz Cloud and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Zilliz Cloud to AutoGen 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 Zilliz Cloud for AutoGen

Every request between AutoGen and Zilliz Cloud 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

How do I find my Cluster Endpoint?

You can find your Cluster Endpoint in the Zilliz Cloud Console under the 'Cluster Details' page. It typically looks like https://in01-xxxxxxxxxxxx.vectordb.zillizcloud.com.

02

Why do I need to 'load' a collection before searching?

Zilliz requires collections to be loaded into memory to perform high-performance similarity searches. Use the load_collection tool to make your data available for search.

03

Can I filter my vector search using metadata?

Yes, Zilliz supports hybrid search. You can use the query_entities tool for metadata-only filtering or include filtering expressions in your search_vectors JSON configuration.

04

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Zilliz Cloud tools during their conversation turns.

05

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.

06

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

07

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

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