F
licenseNot graded
qualityD
maintenanceA demonstration MCP server that provides math (add/multiply) and weather tools, connecting via stdio and streamable HTTP, and integrates with LangChain and LangGraph for agentic workflows.
-
MCP Server Client Demo
by S1LV3RJ1NX
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Server Client Demolist all available tools"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Model Context Protocol (MCP)
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).
MCP Server
This repository contains the code for setting up a demo MCP server. It contains:
A stateless MCP server with streamable HTTP transport for scalable production deployment.
Auto tool registry with
@mcp_tooldecorator.Docker file to containerize the server.
Server can be run locally or in docker and deployed to any cloud provider.
Related MCP server: MCP-TS-DEMO
Setup
Install uv
curl -LsSf https://astral.sh/uv/install.sh | shInstall dependencies
uv syncMCP Client
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.
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
Related MCP Connectors
MCP server connecting AI agents to 100+ apps (Gmail, Slack, Notion, GitHub) via one-click OAuth.
The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.
MCP server for building and testing AI agents with multi-model experimentation and insights.
Related MCP Servers
- AlicenseDqualityDmaintenanceA TypeScript MCP server demo supporting local Stdio and remote Streamable HTTP, demonstrating tool invocation for AI agents.2MIT
- FlicenseNot gradedqualityCmaintenanceA basic MCP server demonstrating tool registration and SSE transport, enabling AI clients to call greeting, arithmetic, and time tools.-
- AlicenseNot gradedqualityCmaintenanceConfigurable MCP server that lets you define LLM-powered tools via JSON, enabling easy integration of multiple models (GPT, Gemini, Claude, etc.) as MCP tools without writing Python code.6MIT