### MCP Server Download

Source: https://context7_llms

Provides instructions to download a Python script for exposing HTTP endpoints over the Model Context Protocol (MCP). The script can be run with Python, and the target installation can be specified using the `--url` argument or the `LOTSOFCSVS_URL` environment variable.

```APIDOC
Download URL: https://www.lotsofcsvs.com/csv_mcp_server.py

Usage:
Download the script and run it with Python.

Configuration:
Use `--url` or the `LOTSOFCSVS_URL` environment variable to target another installation.

Example command:
python csv_mcp_server.py --url https://another.lotsofcsvs.com
```

--------------------------------

### Fetch CSV Dataset via HTTP GET

Source: https://context7_llms

Retrieves a CSV dataset from the Lots of CSVs service using an HTTP GET request. Requires authentication via an 'authorization: Bearer <token>' header. The data is returned in RFC 4180 CSV format. The URL structure includes the username and the dataset path.

```APIDOC
Endpoint: https://www.lotsofcsvs.com/api/u/<username>/[path/to/dataset].csv
Method: GET
Authentication: Required via 'authorization: Bearer <token>' header.
Parameters:
  - <username>: The registered username of the user.
  - [path/to/dataset]: The unique identifier for the CSV dataset. Slashes are part of the identifier.
Returns: RFC 4180 formatted CSV data.

Example (curl):
curl -H "authorization: Bearer <token>" \
 https://www.lotsofcsvs.com/api/u/johndoe/projects/sales/quarterly.csv

Example (JavaScript fetch):
fetch('https://www.lotsofcsvs.com/api/u/johndoe/projects/sales/quarterly.csv', {
    headers: {
        'authorization': 'Bearer <token>'
    }
})
```

```curl
curl -H "authorization: Bearer <token>" \
 https://www.lotsofcsvs.com/api/u/johndoe/projects/sales/quarterly.csv
```

```javascript
fetch('https://www.lotsofcsvs.com/api/u/johndoe/projects/sales/quarterly.csv', {
    headers: {
        'authorization': 'Bearer <token>'
    }
})
```

--------------------------------

### Create or Append CSV Dataset via HTTP POST

Source: https://context7_llms

Adds new rows to a CSV dataset or creates it if it doesn't exist using an HTTP POST request. Requires authentication and specific Content-Type headers. Submissions must include CSV headers as the first row and follow RFC 4180 formatting.

```APIDOC
Endpoint: https://www.lotsofcsvs.com/api/u/<username>/[path/to/dataset].csv
Method: POST
Authentication: Required via 'authorization: Bearer <token>' header.
Headers:
  - Content-Type: 'text/csv; header=present'
Parameters:
  - <username>: The registered username of the user.
  - [path/to/dataset]: The unique identifier for the CSV dataset. Slashes are part of the identifier.
Rules:
  - All submissions must include CSV headers as the first row.
  - Follow RFC 4180 CSV formatting guidelines.

Example (Curl):
# Adding more rows to an existing dataset
echo "Bob,35,Chicago\nCharlie,40,Boston" | curl -X POST \
    -H "Content-Type: text/csv; header=present" \
    -H "authorization: Bearer <token>" \
    --data-binary @- \
    https://www.lotsofcsvs.com/api/u/johndoe/users/demographics.csv

Example (Python requests):
import requests

headers = {
    'Content-Type': 'text/csv; header=present',
    'authorization': 'Bearer <token>'
}
additional_data = """name,age,city
Bob,35,Chicago
Charlie,40,Boston"""

response = requests.post(
    'https://www.lotsofcsvs.com/api/u/johndoe/users/demographics.csv',
    headers=headers,
    data=additional_data
)
```

```curl
# Curl example (adding more rows to an existing dataset)
echo "Bob,35,Chicago\nCharlie,40,Boston" | curl -X POST \
    -H "Content-Type: text/csv; header=present" \
    -H "authorization: Bearer <token>" \
    --data-binary @- \
    https://www.lotsofcsvs.com/api/u/johndoe/users/demographics.csv
```

```python
import requests

headers = {
    'Content-Type': 'text/csv; header=present',
    'authorization': 'Bearer <token>'
}
additional_data = """name,age,city
Bob,35,Chicago
Charlie,40,Boston"""

response = requests.post(
    'https://www.lotsofcsvs.com/api/u/johndoe/users/demographics.csv',
    headers=headers,
    data=additional_data
)
```

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