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streamable-http-mcp-server

Create and configure Streamable HTTP MCP server connections for OpenAI Agents SDK.

Updated Dec 7, 2025
Search Tags:#authentication#mcp#server#http#retry#agents-sdk#streamable
One-click install
npx skills add https://github.com/syeda-hoorain-ali/todo-spec-driven-hackathon --skill streamable-http-mcp-server
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: streamable-http-mcp-server
Source: https://github.com/syeda-hoorain-ali/todo-spec-driven-hackathon/tree/main/.claude/skills/streamable-http-mcp-server
Command: npx skills add https://github.com/syeda-hoorain-ali/todo-spec-driven-hackathon --skill streamable-http-mcp-server

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Simplifies creating and configuring Streamable HTTP MCP server connections for the OpenAI Agents SDK, reducing boilerplate and setup friction.

Core Features & Use Cases

  • Create MCPServerStreamableHttp configurations with URL, headers, and timeouts, plus advanced options like caching and retry policies.
  • Manage direct HTTP MCP connections for low-latency, self-hosted deployments and testing.
  • Use with Agents to orchestrate MCP-based tool calls in production-grade workflows.

Quick Start

Create an MCPServerStreamableHttp instance with a server URL and authentication headers, then attach it to an Agent to start making MCP calls.

Frequently Asked Questions about streamable-http-mcp-server

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure a streamable HTTP MCP server for the OpenAI Agents SDK?▼

Configure a streamable HTTP MCP server by creating an MCPServerStreamableHttp instance with a server URL, authentication headers, and timeouts, then attach it to an Agent to orchestrate MCP-based tool calls in production workflows.

What options are available for customizing MCP HTTP server connections?▼

MCP HTTP server connections support custom timeouts, headers, caching via cache_tools_list, retry policies with max_retry_attempts and retry_backoff_seconds_base, tool filtering, structured content, and a message_handler for production-grade traffic management.

Can I use custom HTTP clients and manage connection termination with MCP servers?▼

Yes, MCP server configurations accept an httpx_client_factory for custom HTTP client instantiation and a terminate_on_close parameter to control connection lifecycle behavior during direct HTTP MCP server management.

What is the best way to handle authentication and timeouts for self-hosted MCP deployments?▼

Handle authentication and timeouts for self-hosted MCP deployments by passing custom headers and configuring timeout, sse_read_timeout, and client_session_timeout_seconds parameters directly in the MCPServerStreamableHttp constructor.

When should I use streamable HTTP MCP servers instead of other connection types?▼

Use streamable HTTP MCP servers for low-latency, self-hosted deployments and testing scenarios where developers need direct HTTP MCP server management with fine-grained control over caching, retry policies, and connection termination.

Does the streamable HTTP MCP server configuration support retry policies for failed tool calls?▼

Streamable HTTP MCP server configuration supports retry policies through max_retry_attempts and retry_backoff_seconds_base parameters, allowing automated handling of transient connection or tool call failures.

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