Streamable HTTP based MCP server and Client demo with auto registry, Dockerfile setup and env.
{
"mcpServers": {
"mcp-server-client-demo": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Streamable HTTP based MCP server and Client demo with auto registry, Dockerfile setup and env.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 313 days ago. 19 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
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The Model Context Protocol (MCP) is a powerful framework that enables developers to build AI applications with large language models (LLMs) by providing a standardized way to connect models with external data sources and tools.
MCP is nothing but a protocol to connect LLMs with external data sources and tools (functions).
This repository contains the code for setting up a demo MCP server. It contains:
@mcp_tool decorator.curl -LsSf https://astral.sh/uv/install.sh | sh
uv sync
This repository contains the code for setting up a demo MCP client with OpenAI SDK. Refer to the client for more details.
Note: For ease of understanding, both server and client are in the same repository, you can easily keep them in separate repositories / projects.