f1-mcp-server / openf1_tools.py
arre99's picture
restricted the client AI agent to only use the OpenF1 to avoid confusion and overlapping functionality.
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import json
from urllib.request import urlopen
from openf1_registry import f1_api, api_endpoints
### Essential tools ###
def get_api_endpoint(endpoint: str) -> dict:
"""
Retrieve the API endpoint URL and filter metadata for a given OpenF1 endpoint.
Args:
endpoint (str): The name of the OpenF1 API endpoint (e.g., 'sessions', 'laps').
Returns:
dict: A dictionary containing:
- status (str): 'success' if endpoint exists, 'error' otherwise
- api_string (str): The full API URL for the endpoint
- filter_metadata (dict): Available filters for the endpoint
"""
try:
url = f1_api.base_url + api_endpoints.get(endpoint, None)
return {
"status": "success",
"api_string": url,
"filter_metadata": f1_api.get_endpoint_filters(endpoint)
}
except:
return {
"status": "error",
"api_string": f"Endpoint {endpoint} not found. Available endpoints: {f1_api.list_all_endpoints()}",
"filter_metadata": dict()
}
def get_filter_string(filter_name: str, filter_value: str, operator: str = "=") -> str:
"""
Create a filter string for OpenF1 API requests.
Args:
filter_name (str): The name of the filter to apply.
filter_value (str): The value to filter by.
operator (str, optional): The comparison operator. Defaults to "=".
Returns:
str: Formatted filter string that can be appended to an API request.
"""
return f"{filter_name}{operator}{filter_value}&"
def apply_filters(api_string: str, *filters: str) -> str:
"""
Apply one or more filter strings to an API endpoint URL.
Args:
api_string (str): The base API endpoint URL.
*filters (str): Variable number of filter strings to apply.
Returns:
str: The complete API URL with all filters applied.
"""
if filters:
for filter in filters:
api_string += filter
return api_string.rstrip("&") # Remove trailing & for last filter
def send_request(api_string: str) -> dict:
"""
Send an HTTP GET request to the specified API endpoint and return the JSON response.
Args:
api_string (str): The complete API URL to send the request to.
Returns:
dict: The JSON response parsed as a Python dictionary.
Raises:
Exception: If there's an error during the HTTP request or JSON parsing.
"""
try:
response = urlopen(api_string)
data = json.loads(response.read().decode('utf-8'))
return data
except Exception as e:
print(f"Error: {e}")
raise
### LLM helper functions ###
def get_api_endpoints() -> dict:
"""
Retrieve a list of all available OpenF1 API endpoints.
Returns:
dict: A dictionary containing a single key 'endpoints' with a list of
available endpoint names as strings.
"""
return {
"endpoints": f1_api.list_all_endpoints(),
}
def get_endpoint_info(endpoint: str) -> dict:
"""
Retrieve detailed information about a specific OpenF1 API endpoint.
Args:
endpoint (str): The name of the endpoint to get information about.
Returns:
dict: A dictionary containing:
- endpoint (str): The name of the endpoint
- endpoint_filters (list): Available filters for this endpoint
- endpoint_help (str): Help text describing the endpoint's purpose and usage
"""
return {
"endpoint": endpoint,
"endpoint_filters": f1_api.get_endpoint_filters(endpoint),
"endpoint_help": f1_api.get_endpoint_help(endpoint)
}
def get_filter_info(filter_name: str) -> dict:
"""
Retrieve detailed information about a specific OpenF1 API filter.
Args:
filter_name (str): The name of the filter to get information about.
Returns:
dict: A dictionary containing:
- filter_name (str): The name of the filter
- filter_metadata (dict): Metadata about the filter, including
description, valid values, and usage examples
"""
return {
"filter_name": filter_name,
"filter_metadata": f1_api.get_filter_help(filter_name)
}