semvec/pypi-packages huggingface dataset:
iflow-mcp_you-need-an-mcp 0.1.0
Add your description here
Requires Python: >=3.12

# you-need-an-mcp

An MCP server providing LLMs access to a YNAB budget.

## Setup

### 1. Install Dependencies

```bash
uv sync
```

### 2. Get YNAB Access Token

To use this MCP server, you need a YNAB Personal Access Token:

1. Log into your YNAB account at https://app.youneedabudget.com
2. Go to **Account Settings** (click your email in the top right corner)
3. Click on **Developer Settings** in the left sidebar
4. Click **New Token**
5. Enter a token name (e.g., "MCP Server")
6. Click **Generate**
7. Copy the generated token (you won't be able to see it again)

### 3. Set Environment Variables

```bash
export YNAB_ACCESS_TOKEN=your_token_here
```

Optionally, set a default budget ID to avoid having to specify it in every call:

```bash
export YNAB_DEFAULT_BUDGET=your_budget_id_here
```

### 4. Run the Server

```bash
uv run python server.py
```

## Available Tools

- `list_budgets()` - Returns all your YNAB budgets
- `list_accounts(budget_id=None, limit=100, offset=0, include_closed=False)` - Returns accounts with pagination and filtering
- `list_categories(budget_id=None, limit=50, offset=0, include_hidden=False)` - Returns categories with pagination and filtering
- `list_category_groups(budget_id=None)` - Returns category groups with totals (lighter weight overview)

### Pagination

The `list_accounts` and `list_categories` tools support pagination. Use the `offset` parameter to get subsequent pages:
- First page: `list_categories(limit=50, offset=0)`
- Second page: `list_categories(limit=50, offset=50)`
- Check `pagination.has_more` to see if there are more results

## Security Note

Keep your YNAB access token secure and never commit it to version control. The token provides read access to all your budget data.
rggrader2 0.1.2
Submission tool for Ruangguru AI Bootcamp
Requires Python: >=3.6

# rggrader2

Submission tool for Ruangguru AI Bootcamp.

## Installation

```bash
pip install rggrader2
```

## Usage

```python
from rggrader import submit

submit(
    id_student="your_student_id",
    name="Your Name",
    assignment_name="Assignment Name",
    result="Your Result",
    batch="your_batch_id"
)
```