Update README.md

[adithya1012]

Adding the new MCP Server : NASA Image MCP Server

Description

This PR adds a new MCP server that integrates NASA's public image and data APIs into the Model Context Protocol ecosystem. The server provides structured access to rich datasets like Astronomy Picture of the Day (APOD), Mars Rover imagery, Near Earth Objects (NEO), Earth images from DSCOVR (EPIC), and high-resolution satellite imagery from GIBS. It also includes an image analysis tool that prepares image content for LLM processing.

Server Details

• Server: PyPI - nasa-mcp-server
• Changes to: New tools and resources added as part of a new server integration. This includes tool schemas for image APIs, remote image analysis capability, and associated test infrastructure.

Motivation and Context

NASA provides rich and educational public APIs for space and Earth science data, which are ideal for LLM-based applications. This MCP server bridges that gap, offering structured, documented, and LLM-compatible tools. It will enable natural language interfaces to retrieve real-time astronomy content, visualize satellite images, and analyze Mars Rover photos, all through a unified protocol.

How Has This Been Tested?

• The server has been tested using the Claude desktop client, VS Code Copilot and Librechat.
• All 7 tools were tested with default, valid, and edge-case parameters.
• The image analysis tool was verified with both static and NASA-hosted image URLs.
• Validations include error cases for invalid inputs, and key authorization issues.

Breaking Changes

No breaking changes.
However, users must add a valid NASA_API_KEY in their MCP client configuration to use the server successfully.

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
• Documentation update

Checklist

• I have read the MCP Protocol Documentation
• My changes follow MCP security best practices
• I have updated the server's README accordingly
• I have tested this with an LLM client
• My code follows the repository's style guidelines
• New and existing tests pass locally
• I have added appropriate error handling
• I have documented all environment variables and configuration options

Additional context

This MCP server was developed as part of my internship project with MIE, with the goal of enabling richer contextual LLM experiences for science and education. The implementation uses uvx for MCP compatibility and emphasizes testability, configurability, and extensibility. I’m happy to contribute further enhancements or support downstream users!

I am open to any type of suggestions and feedback.

More about my work. doc

[olaservo]

Thanks for your contribution to the servers list. This has been merged in this combined PR: #2370

This is a new process we're trying out, so if you see any issues feel free to re-open the PR and tag me.