curl https://api.openai.com/v1/responses -i \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "model": "gpt-4.1", "tools": [ { "type": "mcp", "server_label": "gitmcp", "server_url": "https://gitmcp.io/openai/tiktoken", "allowed_tools": ["search_tiktoken_documentation", "fetch_tiktoken_documentation"], "require_approval": "never" } ], "input": "how does tiktoken work?" }' curl https://api.openai.com/v1/responses \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "model": "gpt-4.1", "tools": [ { "type": "mcp", "server_label": "gitmcp", "server_url": "https://gitmcp.io/openai/tiktoken", "require_approval": "never" } ], "input": "how does tiktoken work?" }' "usage": { "input_tokens": 280, "input_tokens_details": { "cached_tokens": 0 }, "output_tokens": 665, "output_tokens_details": { "reasoning_tokens": 0 }, "total_tokens": 945 } curl https://api.openai.com/v1/responses \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "model": "o4-mini", "tools": [ { "type": "mcp", "server_label": "gitmcp", "server_url": "https://gitmcp.io/openai/tiktoken", "require_approval": "never" } ], "input": "how does tiktoken work?", "reasoning": { "effort": "medium", "summary": "auto" } }' "usage": { "input_tokens": 36436, "input_tokens_details": { "cached_tokens": 22964 }, "output_tokens": 1586, "output_tokens_details": { "reasoning_tokens": 576 }, "total_tokens": 38022 } system_prompt= """You are a pricing analyst for my clothing company. Please use the MCP tool to fetch prices from the Alo Yoga MCP server for the categories of women's shorts, yoga pants, and tank tops. Use only the MCP server for Alo yoga data, don't search the web. Next, use the web search tool to search for Uniqlo prices for women's shorts, yoga pants, and tank tops. In each case for Alo Yoga and Uniqlo, extract the price for the top result in each category. Also provide the full URLs Using the uploaded CSV file of sales data from my store, and with the code interpreter tool calculate revenue by product item, compute average order-value on a transaction level, and calculate the percentage price gap between the CSV data and Uniqlo/Alo Yoga prices. Flag products priced 15% or more above or below the market. Create and output a short report including the findings. # Steps 1. **Fetch Alo Yoga Prices:** - Use the Alo Yoga MCP server to fetch prices for the following products: High-Waist Airlift Legging Sway Bra Tank 5" Airlift Energy Short - Ensure you find prices for each. - Extract the price of the top result for each category. - include URL links 2. **Query Uniqlo Prices:** - Use the Web-Search tool to search non-sale prices for the following Uniqlo products: Women's AIRism Soft Biker Shorts Women's AIRism Soft Leggings Women's AIRism Bra Sleeveless Top - Ensure you find non-sale prices for each. - Extract the price for the top result in each category. - include URL links 3. **Sales Data Analysis:** - Use the uploaded CSV sales data to calculate revenue across each product item. - Determine the average order-value on a transaction level. - For each SKU, compute the percentage price gap between the CSV data and Uniqlo/Alo Yoga prices. - Flag products priced ≥ 15% above or below the market. 4. **Report:** - Compile and output a report including the flagging results # Output Format - A short text report explaining: - Any products that are priced ≥ 15% above or below the market, with specific details. """ curl https://api.openai.com/v1/responses \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "model": "gpt-4.1", "input": [ { "role": "system", "content": [ { "type": "input_text", "text": "ABOVE_SYSTEM_PROMPT" } ] } ], "tools": [ { "type": "web_search_preview", "user_location": { "type": "approximate", "country": "US" }, "search_context_size": "medium" }, { "type": "code_interpreter", "container": { "type": "auto", "file_ids": [ "file-WTiyGcZySaU6n218gj4XxR" ] } }, { "type": "mcp", "server_url": "https://www.aloyoga.com/api/mcp", "server_label": "aloyoga", "allowed_tools": [ "search_shop_catalog", "get_product_details" ], "require_approval": "never" } ], "temperature": 1, "max_output_tokens": 2048, "top_p": 1, "store": true }' system_prompt= """You are an AI assistant that can call the following MCP servers: 1. allbirds_store 2. gitmcp Steps 1. Use the MCP servers above to answer the user query, not every MCP server will relevant for a given query so you can choose which ones to invoke. 2. If the user’s request lacks essential details (size, color, etc.), ask a follow-up question first rather than guessing and using the MCP server tool prematurely. 3. If searching for products in a catalog, only return 4 results at a time before asking the user whether they want to see more. ### Few-shot examples # EX1 — Direct product search, then fetch variant details user: Do you have the Allbirds Tree Runner in men’s size 10? assistant: {"name":"allbirds_store.search_shop_catalog", "arguments":{"query":"Tree Runner", "context":"Men’s size 10 shoes"}} # (assume the search returns product_id "gid://shopify/Product/987") assistant: {"name":"allbirds_store.get_product_details", "arguments":{"product_id":"gid://shopify/Product/987", "options":{"Size":"10"}}} # EX2 — Clarify missing size, then two-step color variant lookup user: I want the Tree Runner in blue. assistant: Sure — what size do you need? user: Size 10. assistant: {"name":"allbirds_store.search_shop_catalog", "arguments":{"query":"Tree Runner", "context":"Blue variant, size 10"}} # (assume the search returns product_id "gid://shopify/Product/987") assistant: {"name":"allbirds_store.get_product_details", "arguments":{"product_id":"gid://shopify/Product/987", "options":{"Size":"10","Color":"Blue"}}} # EX3 — Git docs: search then fetch specific file user: Can you show me how tiktoken does byte-pair encoding? assistant: {"name":"gitmcp.search_website_documentation", "arguments":{"query":"tiktoken byte-pair encoding"}} # (assume the search returns document_id "docs/ENCODING.md") assistant: {"name":"gitmcp.fetch_website_documentation", "arguments":{"document_id":"docs/ENCODING.md"}} """ curl https://api.openai.com/v1/responses \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "model": "gpt-4.1", "input": [ { "role": "system", "content": [ { "type": "input_text", "text": "ABOVE_SYSTEM_PROMPT" } ] }, { "role": "user", "content": [ { "type": "input_text", "text": "find me womens tree loungers in size 8" } ] } ], "tools": [ { "type": "mcp", "server_url": "https://www.allbirds.com/api/mcp", "server_label": "allbirds", "allowed_tools": [ "search_shop_catalog", "get_cart", "update_cart", "search_shop_policies_and_faqs", "get_product_details" ], "require_approval": "never" }, { "type": "mcp", "server_label": "gitmcp", "server_url": "https://gitmcp.io/openai/tiktoken", "allowed_tools": [ "fetch_tiktoken_documentation", "search_tiktoken_documentation", "search_tiktoken_code", "fetch_generic_url_content" ], "require_approval": "never" } ], "temperature": 1, "max_output_tokens": 2048 }'