About Fastmcp Demo Repo
Fastmcp Demo Repo is an MCP server published by avi350751 in the Search category: this repository contains hands-on projects, experiments, and examples built using FastMCP, a lightweight framework for creating Model Context Protocol (MCP) servers and tools.
Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/avi350751/fastmcp-demo-repoThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
🚀 MCP Projects with FastMCP
This repository contains hands-on projects, experiments, and examples built using FastMCP, a lightweight framework for creating Model Context Protocol (MCP) servers and tools. The goal of this repo is to explore how MCP enables structured, tool-driven interactions between LLMs and external capabilities—focusing on clarity, simplicity, and extensibility.
📌 What is MCP? Model Context Protocol (MCP) is a standard that allows Large Language Models to:
- Discover tools
- Call tools with structured inputs
- Receive typed, deterministic outputs
MCP helps bridge the gap between LLM reasoning and real-world actions.
⚡ Why FastMCP? FastMCP simplifies MCP server development by:
- Reducing boilerplate
- Providing a clean decorator-based API
- Making tools easy to define and test
- Supporting rapid prototyping of MCP servers
This repository uses FastMCP exclusively to build MCP-compatible tools and services.
🧩 Project Structure fastmcp-demo-server/ │ ├── server.py │ ├── tools/ │ ├── math_tools.py | |-- misc_tools.py │ ├── text_tools.py │ ├── agents/ │ ├── agent_ready_mcp.py │ ├── experiments/ │ ├── tool_chaining.py │ ├── requirements.txt └── README.md
🛠 Example: Simple FastMCP Server from fastmcp import FastMCP import random
mcp = FastMCP("demo server")
@mcp.tool() def add_two_numbers(a: int, b: int) -> int: """Add two numbers""" return a + b
@mcp.tool() def get_random_number(start: int, end: int) -> int: """Get a random number between start and end""" return random.randint(start, end)
if name == "main": mcp.run()
This exposes:
- add_two_numbers
- get_random_number as MCP-compliant tools that can be consumed by LLM agents.
▶️ Running the MCP Server 1️⃣ Install dependencies pip install fastmcp
or pip install -r requirements.txt
2️⃣ Start the server python basic/02_simple_tools.py
The MCP server will start and wait for tool invocations.
🔍 Testing with MCP Debugger You can test tools using:
- MCP Debugger
- MCP-compatible agents
- LangChain / custom agent wrappers
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.