modelcontextprotocol
🥇GoldThe Model Context Protocol provides a comprehensive specification and documentation framework for AI model interactions. It facilitates seamless integration and enhances the understanding of model behavior, making it essential for developers and organizations leveraging AI technologies.
7,2901,2650Updated Today
Intermediate15 minutes to implementdevelopment
Saves ~180 min per use
Quick InstallView Source
claude install modelcontextprotocol/modelcontextprotocolWorks with:
ChatGPTGitHub Copilot
Overview
About This Skill
The Model Context Protocol provides a comprehensive specification and documentation framework for AI model interactions. It facilitates seamless integration and enhances the understanding of model behavior, making it essential for developers and organizations leveraging AI technologies.
Use Cases
Integrating AI models into applications to improve functionality and user experience.
Documenting AI model behaviors to provide clear guidelines for future development.
Creating standardized protocols for AI interactions to ensure consistency across different models.
Enhancing developer understanding of AI models through detailed specifications and documentation.
Best For
GrowthRevOps
Tags
Setup & Installation
Quick Install
Terminal
claude install modelcontextprotocol/modelcontextprotocolAlternative Install (Git Clone)
git clone https://github.com/modelcontextprotocol/modelcontextprotocolRequirements
- Claude Code or compatible AI agent
- Works with: ChatGPT, GitHub Copilot
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Using the Model Context Protocol, can you provide a detailed specification for the interaction of [MODEL_NAME] in [APPLICATION_AREA] that includes [FUNCTIONALITY] and [USER_REQUIREMENTS]?
Example Output
### Model Context Specification for ChatBot 3000 **Application Area:** Customer Support **Functionality:** - Handle FAQs - Escalate complex queries to human agents **User Requirements:** - Must respond within 2 seconds - Must understand context from previous interactions **Model Behavior:** - The model should prioritize responses based on user sentiment analysis. - It should log interactions for future training and improvement. **Integration Guidelines:** - Use REST API for communication. - Ensure all data exchanged is encrypted to comply with GDPR. **Testing Procedures:** - Conduct stress tests with 1000 simultaneous users. - Monitor for response accuracy and latency during peak loads.
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