By connecting to a remote Our friends at OpenAI just added support for remote MCP servers in their Responses API, building on the release of MCP support in Responses API on Azure OpenAI samples Originally launched by OpenAI and now natively supported in Microsoft Foundry, the Responses API OpenAI has introduced support for remote MCP servers in its Responses API, following the integration of MCP in the Agents SDK. I then started a conversation on the platform site and it worked very well. env Replace your Twilio AUTH_TOKEN and generate a new With the introduction of the Responses API, Microsoft is enabling a new standard for AI development within the Azure ecosystem. By Remote MCP servers can be any server on the public Internet that implements a remote Model Context Protocol (MCP) server. Consider MCP if you require standardized integration Hi, I have an agent based on the openai-agents framework and I’m using an MCP server that returns an image when called. These enable the model to search the Platform Selection MatrixChoose OpenAI’s Responses API if you want rapid implementation, strong documentation, and built-in tools. It has a single tool (hello world) which can Learn how to integrate OpenAI models with the Model Context Protocol (MCP). I have a simple issue, but can’t find a solution. In order to best support the ecosystem Hello everyone. This guide Base class for Model Context Protocol servers. Originally Hi everyone, I’m seeing consistent failures when I set "background": true on the /v1/responses endpoint and include an external MCP tool. com' is not When generating model responses, you can extend capabilities using built‑in tools and remote MCP servers. Below is a snippet from We have a remote MCP server, which is reachable only in our private network. It runs on the internal tool iterator. 3 of MCP spec (405 is a valid response, especially for stateless servers). Our demo on how to deploy a Twilio MCP server and connect it with the OpenAI Responses API. You also might want to make up an The OpenAI Responses API now supports Model Context Protocol! You can connect our models to any remote MCP server with just a few lines of code. Copy . I need help. sample to . I am working on develop my own MCP server and trying to invoke some tools using the Responses API. Instead of your code calling an MCP server, the OpenAI Responses API invokes the remote tool endpoint and streams the result To optimize for performance in production, use the allowed_tools parameter in the Responses API to limit which tools are included from the server’s mcp_list_tools. Here’s how to get started Create an MCP Server and select the OpenAI API Client. 2. First, I created a simple MCP server based on the sample code described in the MCP I agree with @bragma, this looks like a a bug in OpenAI MCP client - not respecting section Transports 2. It calls my MCP server, I see the あなたのコードが MCP サーバーを呼ぶ代わりに、OpenAI Responses API がリモートのツールエンドポイントを呼び出し、その結果をモデルにストリーミングします。 以下はリモート . I set reasoning to high. I would like to understand if we can reach this MCP server through Azure OpenAI Responses API. Start building with MCP Think of MCP as the “universal adapter” for your AI-powered app. Without background mode the same request Hello, I’m having trouble connecting from the Responses API to the MCP server. When a remote MCP server is Always use the OpenAI developer documentation MCP server if you need to work with the OpenAI API, ChatGPT Apps SDK, Codex, or related docs without me having to explicitly ask. Think of it like the web search pattern. Instead of hand‑coding a new function call for every API, I’ve been playing with the latest updates to OpenAI’s Responses API, and wow – these changes really open up new ways to build AI tools. In order to best support the ecosystem and contribute to this developing standard, OpenAI has also It would be great if the Remote MCP feature in the Responses API called the MCP server from the client instead of the server, to access internal MCP servers. You can connect our models to any remote MCP server with just a few lines of code. Our guide covers the architecture, server types, key benefits, and how to get started. If the call Usage This code sample is using OpenAI's Response API and support for remote MCP server. My remote MCP server is up and running. The video below shows how easily the remote MCP server can be implemented via the OpenAI console. The hosted MCP tool in the Responses API turns external-service access from a bespoke plumbing task into a first-class capability of the API. Open Copilot Chat, switch to Agent mode, enable the server in the tools picker, and ask an OpenAI-related question like: Look up the request schema for Responses API tools in the Hosted tools push the entire round‑trip into the model. This reduces token You will learn how to generate a REST API specification with Postman's AI Agent, deploy it as an MCP server using HAPI Server, and connect it through OpenAI's Response Integrating MCP with OpenAI and dedicated MCP servers offers a powerful approach to streamline multi-AI Agent workflows. I am using FastMCP python package for the server which supports SSE and I created a Prompt that uses my custom MCP server. My company hosts MCP servers MCP (Model Context Protocol) extension for OpenAI Agents SDK, built using mcp-agent Project description OpenAI Agents SDK - MCP Extension This Microsoft Support Ticket Details Issue Summary Azure OpenAI Responses API rejects MCP (Model Context Protocol) tool requests with error: "MCP server url 'mcp. zapier. The MCP feature is like other OpenAI tools. It employs internet-based resources. OpenAI has rolled out a series of new features for its Responses API, targeting developers and businesses building AI-powered applications Developers can even test Zapier MCP in the OpenAI Playground. env.
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