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examples/deep_research_api/how_to_build_a_deep_research_mcp_server/README.md

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This is a minimal example of a Deep Research style MCP server for searching and fetching files from the OpenAI file storage service.
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For a reference of _how_ to call this service from the Responses API, with Deep Research see [this cookbook](https://cookbook.openai.com/examples/deep_research_api/how_to_use_deep_research_API). To see how to call the MCP server with the Agents SDK, checkout [this cookbook](https://cookbook.openai.com/examples/deep_research_api/how_to_use_deep_research_API_agents)!
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For a reference of _how_ to call this service from the Responses API, with Deep Research see [this cookbook](https://cookbook.openai.com/examples/deep_research_api/introduction_to_deep_research_api). To see how to call the MCP server with the Agents SDK, checkout [this cookbook](https://cookbook.openai.com/examples/deep_research_api/how_to_use_deep_research_API_agents)!
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The Deep Research agent relies specifically on Search and Fetch tools. Search should look through your object store for a set of specfic, top-k IDs. Fetch, is a tool that takes objectIds as arguments and pulls back the relevant resources.
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examples/deep_research_api/how_to_use_deep_research_API.ipynb renamed to examples/deep_research_api/introduction_to_deep_research_api.ipynb

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"\n",
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"Whether you're looking to build research agents, generate structured reports, or integrate high-quality synthesis into your workflows, we hope the examples here help you get started.\n",
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"\n",
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"What's next? [Deep Research Agents](https://cookbook.openai.com/examples/deep_research_api/how_to_use_deep_research_API_agents)"
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"What's next? [Deep Research Agents](https://cookbook.openai.com/examples/deep_research_api/introduction_to_deep_research_api_agents)"
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examples/deep_research_api/how_to_use_deep_research_API_agents_.ipynb renamed to examples/deep_research_api/introduction_to_deep_research_api_agents.ipynb

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"source": [
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"# Deep Research Agents Cookbook\n",
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"\n",
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"This cookbook demonstrates how to build Agentic research workflows using the OpenAI Deep Research API and [Agents SDK](https://openai.github.io/openai-agents-python/). It is a continuation of [a fundamentals cookbook](https://cookbook.openai.com/examples/deep_research_api/how_to_use_deep_research_API), if you have not already familiarized yourself with that content, please consider doing so.\n",
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"This cookbook demonstrates how to build Agentic research workflows using the OpenAI Deep Research API and the OpenAI [Agents SDK](https://openai.github.io/openai-agents-python/). It is a continuation of [a fundamentals cookbook](https://cookbook.openai.com/examples/deep_research_api/introduction_to_deep_research_api), if you have not already familiarized yourself with that content, please consider doing so.\n",
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"You’ll learn how to orchestrate single and multi-agent pipelines, enrich user queries to maximize output quality, stream research progress, integrate web search and [MCP for internal file search](https://cookbook.openai.com/examples/deep_research_api/how_to_build_a_deep_research_mcp_server/README), and architect a robust research application.\n",
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registry.yaml

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- evals
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- title: Introduction to the Deep Research API
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path: examples/deep_research_api/how_to_use_deep_research_API.ipynb
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path: examples/deep_research_api/introduction_to_deep_research_api.ipynb
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date: 2025-06-25
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authors:
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- glojain
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- deep-research
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- title: Deep Research with the Agents SDK
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path: examples/deep_research_api/how_to_use_deep_research_API_agents.ipynb
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path: examples/deep_research_api/introduction_to_deep_research_api_agents.ipynb
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date: 2025-06-25
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authors:
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- alwell-kevin

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