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pyroprompts/mcp-stdio-to-streamable-http-adapter

pyroprompts/mcp-stdio-to-streamable-http-adapter

STDIO to Streamable HTTP proxy
在 GitHub 查看 ↗直链 · 无中转页
官方说明r MCP Server Integrate any MCP Client that has STDIO MCP Server Support (most do) with the Streamable HTTP MCP Servers If you have a Streamable HTTP MCP Server, forking this, hardcoding the URI and publishing will give you a repo that you can point to, add to directories and let people use via STDIO.
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收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
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收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
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综合分 303 · 3 个来源 · mcp
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怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-14;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

mcp-stdio-to-streamable-http-adapter MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Integrate any MCP Client that has STDIO MCP Server Support (most do) with the Streamable HTTP MCP Servers
If you have a Streamable HTTP MCP Server, forking this, hardcoding the URI and publishing will give you a repo that you can point to, add to directories and let people use via STDIO.
_Note_: This has similarities to the mcp-remote package
Why?
The MCP Spec to add a Streamable HTTP Transport landed end of March 2025 and as of the end of April, no clients have adopted support. The typescript-sdk has merged the code, but not released. The Python SDK is still in development to support it. The Inspector supports it, but that's it.
This leaves developers in an awkward position. Develop the MCP Server using STDIO or SSE (deprecated) so it works with clients or develop with Streamable HTTP transport, but nobody can use it.
I (ferrants) want to start integrating the Streamable HTTP MCP Servers beyond just the inspector, so I need a way to connect them to clients and LLMs right away!
This package aims to bridge the cap by being a STDIO MCP Server that relays to your Streamable HTTP MCP Server. This makes all MCP Clients support Streamable HTTP right away. And now developers can develop the Streamable HTTP MCP Servers and provide an installation method.
Installation
To add OpenAI to Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Env Vars
- URI: The URL of the Streamable HTTP MCP Server. This is required.
- MCP_NAME: The name of the MCP Server. This is optional. If you configure multiple, this is required so they do not have the same names.
- BEARER_TOKEN: The Bearer token for the Streamable HTTP MCP Server. This is optional. If specified, this will be sent along in the Authorization header.
Configuration
You can use it via npx in your Claude Desktop configuration like this:
Or, if you clone the repo, you can build and use in your Claude Desktop configuration like this:
You can add multiple providers by referencing the same MCP server multiple times, but with different env arguments:
With these three, you'll see a tool for each in the Claude Desktop Home:
And then you can chat with other LLMs and it shows in chat like this:
Or, configure in LibreChat like:
And it shows in LibreChat:
Development
Install dependencies:
来源
awesome · https://github.com/pyroprompts/mcp-stdio-to-streamable-http-adapter
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