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MCP Example

@fdmocho

基本信息

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其他

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stdio

作者

fdmocho

关于 MCP Example

MCP demo server

MCP Example 配置

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该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

MCP Example 工具

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概览

What is MCP Example?

MCP Example is an MCP server that integrates with the NASA NEO (Near Earth Object) API, allowing retrieval of near-Earth object information by date range. It is intended for developers who want to query NASA’s asteroid data through a Claude desktop app or any MCP‑compatible LLM.

How to use MCP Example?

Clone the repository, run uv install to set up dependencies, then add your NASA API key in apiconfig.py. Configure the server in your LLM’s MCP settings (e.g., claude_desktop_config.json) using the uv command pointing to main.py. The server exposes a single tool, getNeo(), which you call with start_date and end_date arguments.

Key features of MCP Example

  • Integrates with NASA’s NEO (Near Earth Object) API.
  • Retrieve asteroid data by start and end date.
  • Simple installation via uv and Python.
  • Configurable API key for NASA access.
  • Compatible with Claude desktop and MCP Inspector.

Use cases of MCP Example

  • Query near-Earth object data for a specific date range.
  • Integrate NASA asteroid information into AI‑powered assistant workflows.
  • Explore NASA’s NEO dataset using natural language via an LLM.

常见问题

1

How do I install MCP Example?

Clone the repo and run `uv install` from the project directory.

2

How do I set my NASA API key?

Copy `apiconfig.example.py` to `apiconfig.py` and add your NASA API key there.

3

How do I run the server in Claude desktop?

Add the JSON configuration shown in the README to your `claude_desktop_config.json`, replacing `<PATH TO YOUR PY>` with the actual path.

4

How can I test the server using MCP Inspector?

Run `uv run mcp dev <MYPYTHONFILE>` from the project directory to start the inspector; it will open a web interface at a local port.

5

What runtime dependencies are required?

Python with `uv` and the `mcp[cli]` package are required. The server runs as a Python script using `main.py`.

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