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Beginner's Guide to MCP Servers

@astensby

Repository

Basic information

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Other

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Author

astensby

About Beginner's Guide to MCP Servers

No overview available yet

#mcp#server#ai-assistant

Beginner's Guide to MCP Servers config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "gritai-basic-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Beginner's Guide to MCP Servers 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 Beginner's Guide to MCP Servers?

Beginner's Guide to MCP Servers is a demonstration project that helps beginners build Model Context Protocol (MCP) servers with minimal coding experience. It includes two example MCP servers: one for local file operations and task management, and one for connecting to external APIs like Norwegian police data and stock markets.

How to use Beginner's Guide to MCP Servers?

Clone the project, create and activate a Python virtual environment (Python 3.11+ required), install dependencies with pip install -e ., then configure your MCP client (e.g., Claude Desktop) with the server command and arguments as shown in the README. Optionally set the ALPHA_VANTAGE_API_KEY environment variable for stock tools.

Key features of Beginner's Guide to MCP Servers

  • Two ready‑to‑run example MCP servers with multiple tools
  • Local motivational quotes and task manager (add/list/complete tasks)
  • Real‑time Norwegian police incidents fetcher (by district or municipality)
  • Stock ticker search and current price retrieval (requires free Alpha Vantage API key)
  • Simple tool‑adding pattern using the @mcp.tool() decorator
  • Customizable quote and task data via local JSON files

Use cases of Beginner's Guide to MCP Servers

  • Learning how MCP servers connect AI assistants to external data and tools
  • Building a personal task manager that an AI can read and update
  • Fetching live police incident data from Norway via an AI chat interface
  • Searching stock tickers and getting prices without leaving the AI conversation
  • Experimenting with adding new tools and API integrations to an MCP server

Frequently asked questions

1

What prerequisites are needed to run these servers?

Python 3.11 or higher must be installed. The project uses a virtual environment and the `pip install -e .` command to install dependencies.

2

Do I need an API key for all features?

No. The motivational quote and task manager server works without any external API key. The stock market features require a free Alpha Vantage API key set as the `ALPHA_VANTAGE_API_KEY` environment variable.

3

What files are included in the project?

The project contains `server.py` (API integrations), `motivational_server.py` (local operations), `quotes.json`, `tasks.json`, `pyproject.toml`, and a README.

4

How do I add a new tool?

Use the `@mcp.tool()` decorator on a Python function inside either server file. The function’s signature and docstring define the tool’s parameters and description.

5

How do I troubleshoot common errors?

Activate the virtual environment and run `pip install -e .` for module‑not‑found errors. Ensure your Alpha Vantage API key is set correctly (free keys have rate limits). Run the server from the project directory so that `quotes.json` and `tasks.json` are found.

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