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Model Context Protocol Templates
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Model Context Protocol Templates

The Model Context Protocol (MCP) is an open - source protocol released by Anthropic, aiming to solve the standardization problem of connecting large language models (LLMs) with external data sources and systems. It provides a structured framework that enables models to integrate and utilize external context, thereby expanding their capabilities and improving response accuracy. MCP supports functions such as knowledge expansion, external tool calls, and pre - written prompts.
Artificial intelligence chatbotsDeveloper tools#AI protocol#Model extension#Context integration#Open - source tool.Python
2.5 points
20

What is MCP?

MCP is a new protocol for defining how large language models understand and generate content by observing their context.

Why is MCP needed?

MCP aims to unify the interaction methods of different models, enabling developers to build and deploy models more easily.

How to use MCP?

By defining clear interfaces and rules, MCP enables models to handle various tasks in a consistent manner.
Install dependencies
Initialize the model
Define the interface
Start using
Is MCP only applicable to Anthropic's models?
Which programming languages are supported?
Is there a security risk when using MCP?
Official documentation
Official MCP documentation and tutorials.
Python SDK
MCP implemented in Python.
Security notice
Learn about the security precautions of MCP.
Community support
Join the MCP developer community.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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