The Python SDK for Model Context Protocol simplifies the integration of servers and clients, enabling developers to easily implement and manage context-aware applications. With a robust set of features and extensive documentation, it accelerates development workflows.
claude install modelcontextprotocol/python-sdkThe Python SDK for Model Context Protocol simplifies the integration of servers and clients, enabling developers to easily implement and manage context-aware applications. With a robust set of features and extensive documentation, it accelerates development workflows.
Integrate context-aware features into existing applications to improve user experience.
Build robust client-server architectures that effectively manage state and context.
Enhance API interactions by utilizing context-aware data for more relevant responses.
Rapidly prototype AI models that adapt based on user context and preferences.
claude install modelcontextprotocol/python-sdkgit clone https://github.com/modelcontextprotocol/python-sdkCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Using the Python SDK for Model Context Protocol, how can I implement a context-aware application for [COMPANY] in the [INDUSTRY]? Please provide code snippets and best practices for managing context effectively.
### Context-Aware Application Implementation
To create a context-aware application for **Tech Innovations** in the **Software Development** industry, you can follow these steps:
#### Step 1: Install the SDK
```bash
pip install model-context-sdk
```
#### Step 2: Initialize the Context Manager
```python
from model_context_sdk import ContextManager
context_manager = ContextManager(api_key='YOUR_API_KEY')
```
#### Step 3: Define Context Parameters
```python
context_params = {
'user_id': '12345',
'location': 'New York',
'preferences': ['dark_mode', 'notifications']
}
context_manager.set_context(context_params)
```
#### Step 4: Retrieve Context in Application
```python
current_context = context_manager.get_context()
print(current_context)
# Output: {'user_id': '12345', 'location': 'New York', 'preferences': ['dark_mode', 'notifications']}
```
With this setup, your application can now adjust its behavior based on the user's context, enhancing the user experience.Unlock data insights with interactive dashboards and collaborative analytics capabilities.
Orchestrate workloads with multi-cloud support, job scheduling, and integrated service discovery features.
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Enhance performance monitoring and root cause analysis with real-time distributed tracing.