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Fastmcp Demo Repo

This repository contains hands-on projects, experiments, and examples built using FastMCP, a lightweight framework for creating Model Context Protocol (MCP) servers and tools.

Unclaimed last commit 10 months ago search
34Low

Scored 7 months ago · breakdown

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

From source
git clone https://github.com/avi350751/fastmcp-demo-repo

This 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.

Questions

About Fastmcp Demo Repo

How do I install Fastmcp Demo Repo?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Fastmcp Demo Repo safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Fastmcp Demo Repo still maintained?

The last commit was 10 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.