What is MCP?
MCP is a protocol that standardizes how LLMs connect with external data sources and tools (functions).
MCP Server
@S1LV3RJ1NX
Basic information
About MCP Server
Streamable HTTP based MCP server and Client demo with auto registry, Dockerfile setup and env.
MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-client-demo": {
"command": "uv",
"args": [
"sync"
]
}
}
}MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is a standardized framework that allows developers to connect large language models (LLMs) with external data sources and tools (functions). This repository provides a demo MCP server implementation using streamable HTTP transport, an auto‑tool registry, and a Dockerfile for scalable, production‑ready deployment. It is aimed at developers building AI applications that need to give LLMs access to live data or custom actions.
How to use Model Context Protocol (MCP)?
Install uv (the Astral package manager), then run uv sync to install dependencies. The server can be started locally or inside Docker and deployed to any cloud provider. Tools are registered automatically using the @mcp_tool decorator. A companion MCP client that works with the OpenAI SDK is included in the client/ directory.
Key features of Model Context Protocol (MCP)
- Stateless MCP server using streamable HTTP transport
- Auto‑tool registration via
@mcp_tooldecorator - Dockerfile for containerized deployment
- Can be run locally or in any cloud provider
- Demo client integrated with OpenAI SDK
Use cases of Model Context Protocol (MCP)
- Give an LLM access to a live database or API endpoint
- Build a custom assistant that fetches real‑time information
- Combine multiple tools into a single, standardized LLM backend
Frequently asked questions
How do I set up the server?
Install `uv`, run `uv sync` to install dependencies, then start the server locally or via Docker.
Can I deploy the server to the cloud?
Yes. The server is stateless and can be deployed to any cloud provider using the provided Dockerfile.
How are tools registered?
Tools are automatically registered with the `@mcp_tool` decorator placed on the tool function.
What transport does the server use?
The server uses streamable HTTP transport, suitable for scalable production deployments.
More Other MCP servers
DeepMark
DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
Figs, Relationship Expert
Figs O'Sullivan, LMFTCouples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep
Lemon.io
lemon-ioRequest dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3
Codelf
unbugA search tool helps dev to solve the naming things problem.
14.2K
Klarix Intelligence Engine
KlarixB2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
Comments