semvec/pypi-packages huggingface dataset:
local-aws-lambda 0.1.4
Local AWS Lambda is a Python package that allows you to simulate AWS Lambda functions in your local development environment. This helps you test and debug your serverless applications without deploying them to AWS.
Requires Python: >=3.7

# 🚀 Local AWS Lambda

**Local AWS Lambda** is a Python package that allows you to simulate AWS Lambda functions in your local development environment. This helps you test and debug your serverless applications without deploying them to AWS.

---

## 📦 Installation

```bash
pip install local-aws-lambda
```

---

## ⚡ Usage

### ✅ Basic Example

```python
from local_lambda import LocalLambda

def handler(event, context):
    return {"message": "Hello from Local AWS Lambda!", "event": event}

lambda_runtime = LocalLambda(handler)
event = {"key": "value"}
print(lambda_runtime.invoke(event))
```

---

## 🛠️ Configuration

You can customize the Lambda environment:

```python
lambda_runtime = LocalLambda(handler, timeout=5, memory=256)
```

- **`timeout`**: Max execution time (in seconds)
- **`memory`**: Simulated memory allocation (in MB)

---

## 🧪 Contributing

Contributions are welcome! 🚀

1. Fork the repository
2. Create a new branch (`git checkout -b feature-xyz`)
3. Commit your changes (`git commit -m 'Add new feature'`)
4. Push to the branch (`git push origin feature-xyz`)
5. Open a Pull Request

---

## 🦢 Running Tests

```bash
pytest tests/
```

---

## 📜 License

This project is licensed under the **MIT License**. See the [LICENSE](./LICENSE) file for details.

---

## 🌐 Links

- [Homepage](https://www.aswath.dev/)
- 
- [PyPI Package](https://pypi.org/project/local-aws-lambda/)
mcp-x-post 0.1.1
A MCP server project for posting tweet on X
Requires Python: >=3.12.5

# mcp_x_post MCP server

A MCP server project for posting tweet on X

## Components

### Resources

The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype

### Prompts

The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
  - Optional "style" argument to control detail level (brief/detailed)
  - Generates prompt combining all current notes with style preference

### Tools

The server implements one tool:
- add-note: Adds a new note to the server
  - Takes "name" and "content" as required string arguments
  - Updates server state and notifies clients of resource changes

## Configuration

[TODO: Add configuration details specific to your implementation]

## Quickstart

### Install

#### Claude Desktop

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

<details>
  <summary>Development/Unpublished Servers Configuration</summary>
  ```
  "mcpServers": {
    "mcp_x_post": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/shuzoushifusa/sandbox/mcp_x_post",
        "run",
        "mcp_x_post"
      ]
    }
  }
  ```
</details>

<details>
  <summary>Published Servers Configuration</summary>
  ```
  "mcpServers": {
    "mcp_x_post": {
      "command": "uvx",
      "args": [
        "mcp_x_post"
      ]
    }
  }
  ```
</details>

## Development

### Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:
```bash
uv sync
```

2. Build package distributions:
```bash
uv build
```

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:
```bash
uv publish
```

Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: `--token` or `UV_PUBLISH_TOKEN`
- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

### Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).


You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

```bash
npx @modelcontextprotocol/inspector uv --directory /Users/shuzoushifusa/sandbox/mcp_x_post run mcp-x-post
```


Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.