--- title: Use GPT in WorkBuddy via RunAPI — MCP Guide | RunAPI description: Call OpenAI GPT-5.5 from WorkBuddy through the RunAPI MCP server at 50% of official pricing. One MCP config covers every GPT variant with one key. url: https://runapi.ai/workbuddy-gpt.md canonical: https://runapi.ai/workbuddy-gpt locale: en site: RunAPI image: https://runapi.ai/assets/opengraph-bfaaa0f0.png alternates: en: https://runapi.ai/workbuddy-gpt zh-CN: https://runapi.ai/zh-CN/workbuddy-gpt es: https://runapi.ai/es/workbuddy-gpt ja: https://runapi.ai/ja/workbuddy-gpt de: https://runapi.ai/de/workbuddy-gpt fr: https://runapi.ai/fr/workbuddy-gpt pt-BR: https://runapi.ai/pt-BR/workbuddy-gpt ko: https://runapi.ai/ko/workbuddy-gpt it: https://runapi.ai/it/workbuddy-gpt nl: https://runapi.ai/nl/workbuddy-gpt pl: https://runapi.ai/pl/workbuddy-gpt tr: https://runapi.ai/tr/workbuddy-gpt zh-TW: https://runapi.ai/zh-TW/workbuddy-gpt zh-HK: https://runapi.ai/zh-HK/workbuddy-gpt ar: https://runapi.ai/ar/workbuddy-gpt x-default: https://runapi.ai/workbuddy-gpt model: gpt --- > HTML version: https://runapi.ai/workbuddy-gpt > Site index for agents: https://runapi.ai/llms.txt # Use GPT in WorkBuddy. GPT-5.5 is OpenAI's flagship LLM, available through RunAPI at half the official per-token price. WorkBuddy speaks MCP natively — register RunAPI as an MCP server once and every GPT variant (5.5, 5.4, 5.4-mini) becomes a callable tool inside the workbench, with function calling and structured output intact. - [Get API Key](https://runapi.ai/login) - [Read the docs](https://runapi.ai/docs/guides) one RunAPI key · MCP one-click connect · per-token billing at 50% off ### Prompt ```text Use the runapi MCP server to send a chat request to GPT. Requirements: - Call the RunAPI chat tool exposed by the runapi MCP server - Set model to "gpt-5.5" - Ask: "Write a Python function that merges two sorted lists in O(n) time." - Set temperature to 0.3 and max_tokens to 1024 - Show me the assistant reply and the token usage counts ``` ### MCP Config ```bash { "mcpServers": { "runapi": { "url": "https://runapi.ai/mcp", "transport": "streamable_http", "headers": { "Authorization": "Bearer $RUNAPI_API_KEY" } } } } ``` ### Response ```json { "model": "gpt-5.5", "content": "def merge_sorted(a, b):\n result = []\n i = j = 0\n while i < len(a) and j < len(b):\n ...", "finish_reason": "stop", "usage": { "prompt_tokens": 38, "completion_tokens": 95, "total_tokens": 133 } } ``` ## Use GPT in WorkBuddy in three steps 1. **Register the RunAPI MCP server** - Set RUNAPI_API_KEY in the environment that launches WorkBuddy, then add an MCP server named runapi pointing at https://runapi.ai/mcp over streamable HTTP. If RunAPI is already connected for other models, GPT is included — no additional setup. `export RUNAPI_API_KEY=runapi_xxx # MCP server: runapi → https://runapi.ai/mcp ` 2. **Pick a GPT model in your prompt** - Name the variant in your workbench request — gpt-5.5 for the flagship, or gpt-5.4 or gpt-5.4-mini for lower cost. WorkBuddy fills the model argument of the RunAPI chat tool and sends the call. `model: gpt-5.5` 3. **Read the tool result** - The MCP tool returns the completion synchronously with usage counts and finish_reason. Ask for tools or structured JSON output in your prompt and WorkBuddy passes the corresponding arguments through — tool_calls and json_schema results come back in the same response. `usage.total_tokens: 133` ## GPT tool parameters on the RunAPI MCP server | Parameter | Type | Description | | --- | --- | --- | | `model` | `string` | Required. gpt-5.5, gpt-5.4, gpt-5.4-mini, gpt-5.4-nano, or gpt-5.2. | | `messages` | `array` | Required. Array of message objects with role (system, user, assistant) and content fields. WorkBuddy builds this from your prompt. | | `temperature` | `number` | Optional. Sampling temperature between 0 and 2. Lower values produce more deterministic output. Defaults to 1. | | `max_tokens` | `integer` | Optional. Maximum number of tokens to generate in the completion. | | `tools` | `array` | Optional. Array of tool definitions for function calling. Each tool has a type, function name, description, and parameters schema. | | `response_format` | `object` | Optional. Set type to "json_object" or "json_schema" for structured JSON output. | ## What is GPT on WorkBuddy? GPT is OpenAI's flagship LLM family, available through RunAPI at half the official per-token price. WorkBuddy reaches every variant through the single runapi MCP server — GPT-5.5 for top-tier reasoning, GPT-5.4 for everyday tasks, and GPT-5.4-mini for cheap bulk work — all with function calling and structured JSON output, using the same RUNAPI_API_KEY that covers Claude, Gemini, and the media models. ## GPT use cases - **Office documents and long-form drafting** - Draft reports, summaries, and slides inside WorkBuddy and let GPT-5.5 handle the heavy reasoning — the MCP tool returns polished long-form output straight into the workbench. - **Agentic reasoning and multi-step tasks** - Use GPT-5.5 for complex, multi-step reasoning tasks through the same MCP tool, with function calling and structured output support. - **Data extraction with structured outputs** - Ask for json_schema output and get guaranteed valid JSON from GPT — useful for extracting structured data from documents, parsing invoices, or feeding downstream automations. ## GPT + WorkBuddy questions ### Can I use GPT-5.5 in WorkBuddy through RunAPI? Yes. WorkBuddy speaks MCP natively. Register RunAPI as an MCP server pointing at https://runapi.ai/mcp with your RUNAPI_API_KEY, and GPT appears as a callable chat tool. The same server covers chat, image, video, and music models. ### How much does GPT cost through RunAPI? RunAPI charges 50% of OpenAI's official per-token rate for all GPT models. The discount applies to both input and output tokens, with no subscription or volume commitment. Check the RunAPI pricing page for exact per-million-token rates. ### Which GPT model should I use — 5.5 vs 5.4 vs 5.4-mini? GPT-5.5 for complex reasoning and hard problems. GPT-5.4 for everyday tasks at lower cost. GPT-5.4-mini for high-volume cheap work like classification or tagging. All go through the same MCP tool — only the model argument changes. ### Can I use function calling and structured output with GPT in WorkBuddy? Yes. Ask for it in your prompt — WorkBuddy passes a tools array or a response_format of json_schema through the MCP tool call, and GPT returns tool_calls or schema-constrained JSON in the tool result. ### Do I need to write any code to use GPT in WorkBuddy? No. After the MCP server is registered, you type a natural-language prompt into the workbench. WorkBuddy selects the RunAPI chat tool, fills in the model and messages, and renders the reply inline — no curl commands or SDK setup. - [WorkBuddy setup guide →](https://runapi.ai/workbuddy.md) - Not connected yet? Start with the RunAPI MCP setup guide for WorkBuddy. - [GPT on RunAPI →](https://runapi.ai/models/gpt.md) - See all GPT variants, per-token pricing, and API docs. ## Try GPT-5.5 in WorkBuddy today. Get a free RunAPI key, register the MCP server, and call GPT-5.5 at half the official OpenAI token price — function calling and structured output included. [Browse models →](https://runapi.ai/models.md) --- ## More from RunAPI - [Home](https://runapi.ai/.md) ### Product - [Model Catalog](https://runapi.ai/models.md) - [Pricing](https://runapi.ai/pricing.md) - [Providers](https://runapi.ai/models#all-models) ### Developers - [Documentation](https://runapi.ai/docs/guides) - [SDKs](https://runapi.ai/sdk.md) - [CLI](https://runapi.ai/cli.md) - [MCP Server](https://runapi.ai/mcp.md) - [x402](https://runapi.ai/x402.md) ### Guides - [Claude Code vs Cursor](https://runapi.ai/claude-code-vs-cursor.md) - [Cursor API Setup](https://runapi.ai/cursor-api-setup.md) - [RunAPI vs OpenRouter](https://runapi.ai/openrouter-alternative.md) ### Company - [Enterprise](https://runapi.ai/contact.md) - [Contact](https://runapi.ai/contact.md) ### Legal - [Terms](https://runapi.ai/terms.md) - [Privacy](https://runapi.ai/privacy.md) - [Site index for agents](https://runapi.ai/llms.txt) Contact: contact@runapi.ai ## Structured data ```json [ { "@context": "https://schema.org", "inLanguage": "en", "@type": "WebSite", "name": "RunAPI", "url": "https://runapi.ai/", "potentialAction": { "@type": "SearchAction", "target": { "@type": "EntryPoint", "urlTemplate": "https://runapi.ai/models?q={search_term_string}" }, "query-input": "required name=search_term_string" } }, { "@context": "https://schema.org", "inLanguage": "en", "@type": "Organization", "name": "RunAPI", "url": "https://runapi.ai/", "logo": { "@type": "ImageObject", "url": "https://runapi.ai/icon.svg" }, "sameAs": [ "https://github.com/runapi-ai" ] }, { "@context": "https://schema.org", "inLanguage": "en", "@type": "SoftwareApplication", "name": "RunAPI GPT for WorkBuddy", "applicationCategory": "DeveloperApplication", "description": "Call OpenAI GPT-5.5 from WorkBuddy through the RunAPI MCP server at 50% of official pricing. One MCP config covers every GPT variant with one key.", "url": "https://runapi.ai/workbuddy-gpt" }, { "@context": "https://schema.org", "inLanguage": "en", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Can I use GPT-5.5 in WorkBuddy through RunAPI?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. WorkBuddy speaks MCP natively. Register RunAPI as an MCP server pointing at https://runapi.ai/mcp with your RUNAPI_API_KEY, and GPT appears as a callable chat tool. The same server covers chat, image, video, and music models." } }, { "@type": "Question", "name": "How much does GPT cost through RunAPI?", "acceptedAnswer": { "@type": "Answer", "text": "RunAPI charges 50% of OpenAI's official per-token rate for all GPT models. The discount applies to both input and output tokens, with no subscription or volume commitment. Check the RunAPI pricing page for exact per-million-token rates." } }, { "@type": "Question", "name": "Which GPT model should I use — 5.5 vs 5.4 vs 5.4-mini?", "acceptedAnswer": { "@type": "Answer", "text": "GPT-5.5 for complex reasoning and hard problems. GPT-5.4 for everyday tasks at lower cost. GPT-5.4-mini for high-volume cheap work like classification or tagging. All go through the same MCP tool — only the model argument changes." } }, { "@type": "Question", "name": "Can I use function calling and structured output with GPT in WorkBuddy?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Ask for it in your prompt — WorkBuddy passes a tools array or a response_format of json_schema through the MCP tool call, and GPT returns tool_calls or schema-constrained JSON in the tool result." } }, { "@type": "Question", "name": "Do I need to write any code to use GPT in WorkBuddy?", "acceptedAnswer": { "@type": "Answer", "text": "No. After the MCP server is registered, you type a natural-language prompt into the workbench. WorkBuddy selects the RunAPI chat tool, fills in the model and messages, and renders the reply inline — no curl commands or SDK setup." } } ] }, { "@context": "https://schema.org", "inLanguage": "en", "@type": "HowTo", "name": "How to use GPT in WorkBuddy via RunAPI", "description": "Register RunAPI as an MCP server in WorkBuddy, prompt the workbench agent to call the GPT chat tool, and read the returned completion.", "step": [ { "@type": "HowToStep", "position": 1, "name": "Register the RunAPI MCP server", "text": "Set RUNAPI_API_KEY in the environment that launches WorkBuddy, then add an MCP server named runapi pointing at https://runapi.ai/mcp over streamable HTTP. If RunAPI is already connected for other models, GPT is included — no additional setup.", "url": "https://runapi.ai/workbuddy-gpt#how-step-1" }, { "@type": "HowToStep", "position": 2, "name": "Pick a GPT model in your prompt", "text": "Name the variant in your workbench request — gpt-5.5 for the flagship, or gpt-5.4 or gpt-5.4-mini for lower cost. WorkBuddy fills the model argument of the RunAPI chat tool and sends the call.", "url": "https://runapi.ai/workbuddy-gpt#how-step-2" }, { "@type": "HowToStep", "position": 3, "name": "Read the tool result", "text": "The MCP tool returns the completion synchronously with usage counts and finish_reason. Ask for tools or structured JSON output in your prompt and WorkBuddy passes the corresponding arguments through — tool_calls and json_schema results come back in the same response.", "url": "https://runapi.ai/workbuddy-gpt#how-step-3" } ] }, { "@context": "https://schema.org", "inLanguage": "en", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://runapi.ai/" }, { "@type": "ListItem", "position": 2, "name": "RunAPI GPT for WorkBuddy", "item": "https://runapi.ai/workbuddy-gpt" } ] } ] ```