Streamable HTTP Bridge
A bridge server that converts stdio protocol to streamable-http protocol, allowing clients to interact with MCP services over HTTP.
What is Streamable HTTP Bridge?
Streamable HTTP Bridge is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to bridge server that converts stdio protocol to streamable-http protocol, allowing clients to interact with mcp services over http.
A bridge server that converts stdio protocol to streamable-http protocol, allowing clients to interact with MCP services over HTTP.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A bridge server that converts stdio protocol to streamable-h
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx streamable-http-bridgeConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Streamable HTTP Bridge
What is Streamable HTTP Bridge?
Streamable HTTP Bridge is a Model Context Protocol (MCP) server that bridge server that converts stdio protocol to streamable-http protocol, allowing clients to interact with mcp services over http. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Streamable HTTP Bridge?
Follow the installation instructions on the Streamable HTTP Bridge GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Streamable HTTP Bridge?
Streamable HTTP Bridge works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Streamable HTTP Bridge free to use?
Yes, Streamable HTTP Bridge is open source and available under the Mulan Permissive Software License, Version 2 license. You can use it freely in both personal and commercial projects.
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Set Up Streamable HTTP Bridge in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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