MCP Trust Score

README.md

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 # MCP Server for Milvus
+[![Trust Score](https://archestra.ai/mcp-catalog/api/badge/quality/zilliztech/mcp-server-milvus)](https://archestra.ai/mcp-catalog/zilliztech__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.
 

src 2/mcp_server_milvus/__init__.py

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+from . import server
+
+def main():
+    """Main entry point for the package."""
+    server.main()
+
+# Optionally expose other important items at package level
+__all__ = ['main', 'server']

src 2/mcp_server_milvus/blogpost.md

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+We've moved from simple chatbots to sophisticated AI agents that can reason, plan, and execute complex tasks with minimal human intervention. 
+Agents now can perceive their environment, make decisions, and take actions to achieve specific goals, having a particularly big impact on how we build applications. 
+To help with this, the Model Context Protocol (MCP) standard, proposed by Anthropic to standardize how applications provide context to LLMs. It helps building complex workflows on top of LLMs.
+# What is Model Context Protocol (MCP)? 
+MCP is an open protocol that has a goal of standardizing ways to connect AI Models to different data sources and tools.
+The idea is to help you build agents and complex workflows on top of LLMs, making them even smarter. It provides: 
+- A list of pre-built integrations that LLMs can directly plug into
+- The flexibility to switch between LLM providers and vendors 
+The general idea is for MCP to follow a client-server architecture, where a host application can connect to multiple servers: 
+[Image]
+- MCP Hosts: Programs like Claude Desktop, IDEs, or AI tools that want to access data through MCP
+- MCP Clients: Protocol clients that maintain 1:1 connections with servers
+- MCP Servers: Lightweight programs that each expose specific capabilities through the standardized Model Context Protocol
+- Local Data Sources: Your computer’s files, databases, and services that MCP servers can securely access
+- Remote Services: External systems available over the internet (e.g., through APIs) that MCP servers can connect to
+
+# Using Milvus with MCP 
+Milvus, 

src 2/mcp_server_milvus/example.env

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+MILVUS_URI=""
+MILVUS_TOKEN=""
+MILVUS_DB=""