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.
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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 for your apps' tools and custom tools, plus hosted AI agents and approval-gated workflows
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.
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