Zilliz MCP Server
OfficialEnables AI agents to interact with Milvus vector databases and Zilliz Cloud through natural language...
Create / sign in to your Zilliz Cloud account
- Open the Zilliz Cloud console (cloud.zilliz.com) and sign in or register if you don’t have an account.
Open the Organization’s API Keys page
- In the Zilliz Cloud console, go to the Organization → Security → API Keys (or “API Keys” for your organization).
- Click the + API Key button to create a new key. (docs.zilliz.com)
Configure the new API key
- Give the key a descriptive name (≤ 64 characters).
- Set the access scope / roles for the key. For least privilege, restrict the key to only the project, clusters, or volumes the MCP server needs. Only Organization Owners and Project Admins can create customized API keys. (docs.zilliz.com)
Create and copy the API key value
- Complete creation; copy the API key string that is shown in the console. Keep this value safe (store in your secret manager or clipboard for immediate use).
Open the FastMCP connection interface (“Install Now”)
- Click the “Install Now” button in your FastMCP UI to open the connection / environment variables entry form.
Fill the environment variables in the FastMCP connection form
- If you will run the MCP via StdIO (agent-managed server), add:
- Key: ZILLIZ_CLOUD_TOKEN
- Value:
- If you will run the MCP as a standalone HTTP service (streamable-http / .env), add:
- Key: ZILLIZ_API_KEY
- Value:
- Save / apply the connection so FastMCP stores the env value and installs the MCP server.
- If you will run the MCP via StdIO (agent-managed server), add:
(If running locally / manually) Use .env instead
- If you start the server manually (streamable HTTP), create/update .env with:
- ZILLIZ_API_KEY="your_api_key_here"
- Then run the server per the README (for example: uv run src/zilliz_mcp_server/server.py --transport streamable-http).
- If you start the server manually (streamable HTTP), create/update .env with:
Verify the server / connection
- After installing/saving, confirm the MCP server appears in your client’s tool list and that Zilliz control-plane tools (e.g., list_projects, list_clusters) work.
Security & maintenance
- Limit API key scope to the minimum required and rotate or revoke keys if compromised.
- Use customized keys for long-lived service access and revoke or reset keys from the Zilliz Cloud console when needed. (docs.zilliz.com)
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Run MCP servers without
local setup or downtime
Access to 1,000+ ready-to-use MCP servers
Skip installation, maintenance, and trial-and-error.
No local setup or infra
Run MCP servers without Docker, ports, or tunnels.
Always online
Your MCP keeps working even when your laptop is off.
One secure URL
Use the same MCP from any agent, anywhere.
Secure by default
Encrypted connections. Secrets never stored locally.
Configuration for
Environment Variables
Please provide values for the following environment variables:
HTTP Headers
Please provide values for the following HTTP headers:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for Database
View All →Supabase MCP Server
Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.
Svelte
Official Svelte documentation access and code analysis server that provides up-to-date reference material, playground link generation, and intelligent autofixer capabilities for detecting common patterns, anti-patterns, and migration opportunities in Svelte 5 and SvelteKit projects.
ClickHouse
Unlock powerful analytics with the ClickHouse MCP Server—seamlessly run, explore, and manage SQL queries across ClickHouse clusters or with chDB’s embedded OLAP engine. This server offers easy database and table listing, safe query execution, and flexible access to data from files, URLs, or databases. Built-in health checks ensure reliability, while support for both ClickHouse and chDB enables robust data workflows for any project.
More for Cloud Platforms
View All →Salesforce
Unlock powerful Salesforce org management with the Salesforce DX MCP Server, designed for seamless interaction between large language models and Salesforce environments. This developer preview offers secure, direct access to Salesforce resources without exposing secrets, using TypeScript libraries and granular org allowlisting. Its modular toolsets cover org administration, data queries, user permissions, metadata deployment, and testing. Easily extendable and compatible with various clients like VS Code, Cursor, and more, it empowers developers to perform complex tasks with natural language commands while maintaining robust security. The MCP Server streamlines Salesforce DX workflows through an efficient, secure, and flexible protocol.
Hostinger API
Integrates with Hostinger's hosting platform to enable domain registration and DNS management, VPS creation and configuration, firewall setup, backup operations, and billing subscription handling through over 100 specialized tools organized by service category.
Netlify
Control your Netlify projects effortlessly using natural language through AI agents with Netlify MCP Server. This server follows the Model Context Protocol to enable code agents to create, deploy, and manage sites, configure access controls, handle environment variables, and more—all via simple prompts. It acts as a bridge between AI clients and Netlify’s API and CLI, empowering seamless automation and resource management. Whether retrieving team data or managing forms and extensions, Netlify MCP Server streamlines your workflow by integrating powerful AI-driven project control in an accessible, standardized way.
Tencent EdgeOne Pages
Effortlessly publish HTML, folders, or zip files with instant public URLs using EdgeOne Pages MCP. This service streamlines rapid deployment of your static content via EdgeOne Pages, leveraging serverless edge functions and key-value storage for fast, reliable delivery. Users can quickly deploy content and receive shareable links, making it ideal for web developers and teams needing easy, scalable web hosting.
Azure All
Supercharge AI agents with seamless access to Azure services using Azure MCP Server. This project enables powerful automation and management of Azure resources with tools for databases, storage, monitoring, security, and best practices. Easily interact with services like Cosmos DB, SQL, Key Vault, Service Bus, and more—all within compatible AI platforms. Azure MCP Server is in Public Preview and rapidly evolving, making it a versatile solution for both developers and enterprise environments looking to integrate Azure functionality.
Similar MCP Servers
Zapier
Zapier MCP gives your AI assistant direct access to over 7,000+ apps and 30,000+ actions without complex API integrations. Now your AI can perform real tasks like sending messages, managing data, scheduling events, and updating records—transforming it from a conversational tool to a functional extension of your applications
Azure All
Supercharge AI agents with seamless access to Azure services using Azure MCP Server. This project enables powerful automation and management of Azure resources with tools for databases, storage, monitoring, security, and best practices. Easily interact with services like Cosmos DB, SQL, Key Vault, Service Bus, and more—all within compatible AI platforms. Azure MCP Server is in Public Preview and rapidly evolving, making it a versatile solution for both developers and enterprise environments looking to integrate Azure functionality.