MCP Python Streamable Template
A template for creating Dockerized Python FastMCP (Model Context Protocol) servers with E2E testing capabilities. Based on the mcp-sdk.
What is MCP Python Streamable Template?
MCP Python Streamable Template is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to template for creating dockerized python fastmcp (model context protocol) servers with e2e testing capabilities. based on the mcp-sdk.
A template for creating Dockerized Python FastMCP (Model Context Protocol) servers with E2E testing capabilities. Based on the mcp-sdk.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A template for creating Dockerized Python FastMCP (Model Con
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-python-streamable-e2e-test-templateConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about MCP Python Streamable Template
What is MCP Python Streamable Template?
MCP Python Streamable Template is a Model Context Protocol (MCP) server that template for creating dockerized python fastmcp (model context protocol) servers with e2e testing capabilities. based on the mcp-sdk. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP Python Streamable Template?
Follow the installation instructions on the MCP Python Streamable Template GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP Python Streamable Template?
MCP Python Streamable Template works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP Python Streamable Template free to use?
Yes, MCP Python Streamable Template is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up MCP Python Streamable Template 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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