NASA API Integration with MCP
by jmand626
This project integrates the NASA API with an MCP (presumably a chat application or interface). It allows users to query NASA's vast data collection through simple, natural language questions.
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What is NASA API Integration with MCP?
This project is a Python-based application that connects to the NASA API and answers user questions related to space and astronomy through a chat interface (MCP). It leverages the Ollama and llama3.2 model to facilitate natural language understanding.
How to use NASA API Integration with MCP?
First, install Ollama and the llama3.2 model. Then, clone the repository, create a virtual environment, activate it, and install the dependencies using pip install -r requirements.txt. Finally, run the application using python mcp_chat.py. You can use the example queries or make similar requests.
Key features of NASA API Integration with MCP
Natural Language Querying
Integration with NASA API
Access to Astronomy Pictures
Asteroid Tracking
Earth Imagery
Use cases of NASA API Integration with MCP
Educational tool for learning about space
Astronomy research and data analysis
Quick access to NASA's image library
Chatbot for space-related information
Interactive NASA data exploration
FAQ from NASA API Integration with MCP
What NASA API endpoints are utilized?
What NASA API endpoints are utilized?
The specifics of the NASA API endpoints used are available in the project report.
What is MCP?
What is MCP?
MCP refers to a chat application or interface, but the details of MCP are not available in this documentation.
What is Ollama?
What is Ollama?
Ollama is a tool used by the project.
What natural language model is used?
What natural language model is used?
llama3.2 is the language model used in the project.
Where can I find more detailed information?
Where can I find more detailed information?
See the project report for more in-depth documentation.