
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

stephen37/mcp-server-milvus
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
{
"mcpServers": {
"milvus": {
"command": "/PATH/TO/uv",
"args": [
"--directory",
"/path/to/mcp-server-milvus/src/mcp_server_milvus",
"run",
"server.py",
"--milvus-uri",
"http://localhost:19530"
]
}
}
}This repository contains a MCP server that provides access to Milvus vector database functionality.
milvus-text-search
Search for documents using full text search
milvus-vector-search
Perform vector similarity search on a collection
milvus-hybrid-search
Perform hybrid search combining vector similarity and attribute filtering
milvus-multi-vector-search
Perform vector similarity search with multiple query vectors
milvus-query
Query collection using filter expressions
milvus-count
Count entities in a collection
milvus-collection-info
Get detailed information about a collection
milvus-get-collection-stats
Get statistics about a collection
milvus-create-collection
Create a new collection with specified schema
milvus-load-collection
Load a collection into memory for search and query
milvus-release-collection
Release a collection from memory
milvus-get-query-segment-info
Get information about query segments
milvus-get-collection-loading-progress
Get the loading progress of a collection
milvus-insert-data
Insert data into a collection
milvus-bulk-insert
Insert data in batches for better performance
milvus-upsert-data
Upsert data into a collection (insert or update if exists)
milvus-delete-entities
Delete entities from a collection based on filter expression
milvus-create-dynamic-field
Add a dynamic field to an existing collection
milvus-create-index
Create an index on a vector field
milvus-get-index-info
Get information about indexes in a collection
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

Desktop · Freemium · Proprietary
The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.

supabase-community/supabase-mcp
The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools.

googleapis/genai-toolbox
MCP Toolbox for Databases is an open source Model Context Protocol (MCP) server that connects your AI agents, IDEs, and applications directly to your enterprise databases.

alexander-zuev/supabase-mcp-server
Query MCP is an open-source MCP server that lets your IDE safely run SQL, manage schema changes, call the Supabase Management API, and use Auth Admin SDK — all with built-in safety controls.

MobinX/awesome-mcp-list
This is a continuously updated curated list of MCP servers, covering categories such as browser control, arts and culture, cloud platforms, command line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, gaming, knowledge and memory, location services, marketing, monitoring, search and utilities. Each project includes a GitHub link and star count for quick reference and use.

stuzero/pg-mcp-server
PG-MCP is a server implementation of the Model Context Protocol for PostgreSQL databases. It provides a comprehensive API for AI agents to discover, connect to, query, and understand PostgreSQL databases through MCP's resource-oriented architecture.

bytebase/dbhub
[!NOTE] If you need an enterprise-level database MCP server with built-in guardrails like approval flow, access control, data masking, and audit logging beyond what DBHub offers, check out Bytebase.