JP Hwang databyjp

Option 1 - Add a .mcp.json file to your project root with this content:

Try the Weaviate Docs MCP like this:

{
  "mcpServers": {
    "weaviate-docs": {
      "type": "http",
 "url": "https://weaviate-docs-mcp-3hx7rjpxua-uc.a.run.app/mcp"

	"""
	End-to-End Weaviate Example: E-Commerce Product Collection
	This script demonstrates:
	1. Connecting to Weaviate Cloud
	2. Creating a collection with RQ quantization and alias
	3. Importing data with batching
	4. Querying with the traditional Weaviate client
	5. Querying with the Query Agent
	"""

	import weaviate
	from weaviate.collections import Collection
	from weaviate.collections.classes.types import GeoCoordinate
	from tqdm import tqdm
	from typing import List
	import os
	import json
	from datetime import date, datetime

	client = weaviate.connect_to_wcs(

	<?xml version="1.0" encoding="UTF-8"?>
	<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
	<plist version="1.0">
	<dict>
	<key>EnvironmentVariables</key>
	<dict>
	<key>PATH</key>
	<string>/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin</string>
	</dict>
	<key>ExitTimeOut</key>

	yr_ranges = None
	if len(sys.argv) < 3:
	logger.info(f'Season year arguments not provided')
	else:
	try:
	if 2040 > int(sys.argv[1]) > 1980 and 2040 > int(sys.argv[2]) > 1980:
	yr_ranges = [int(sys.argv[1]), int(sys.argv[2])]
	else:
	logger.error(f'The arguments should season years (e.g. 2021 2020) when data is available')
	except:

	for gm_id in gm_ids:
	shot_blot_dfs = list()
	gm_df = playoffs_df[playoffs_df.GAME_ID == gm_id]
	game_date = gm_df["realtime_dt"].min().date()
	game_date_str = f"{game_date.day}_{game_date.strftime('%b')}_{game_date.strftime('%Y')}"
	tm_ids = gm_df.teamId.unique()
	tm_abvs = [teams.find_team_name_by_id(tm_id)['abbreviation'] for tm_id in tm_ids]
	for tm_id in tm_ids:
	tmp_dfs = list()
	tm = teams.find_team_name_by_id(tm_id)