Demonstração do Servidor MCP
@tiagonpsilva
About Demonstração do Servidor MCP
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-demo-tiagonpsilva": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Demonstração do Servidor MCP?
Demonstração do Servidor MCP is a reference implementation of an MCP (Mission Control Protocol) server built with the MCP Python SDK. It provides a simple, efficient platform for creating and managing APIs based on resources and tools using the MCP protocol. It is intended for developers who want to learn or prototype MCP-based services.
How to use Demonstração do Servidor MCP?
Clone the repository, set up a Python virtual environment (optional), and install dependencies with pip install -e .. Run the server with python -m server. The server exposes defined endpoints; for example, you can call a tool via curl -X POST "http://localhost:8000/tools/add" with JSON body {"a": 5, "b": 10} or fetch a greeting resource via curl -X GET "http://localhost:8000/resources/greeting/Maria".
Key features of Demonstração do Servidor MCP
- Quick tool creation via Python decorators (
@mcp.tool()) - Dynamic resource exposure with URL patterns (
@mcp.resource()) - Easy integration with existing systems
- Intuitive API for service development
- Based on the official MCP Python SDK
Use cases of Demonstração do Servidor MCP
- Learning how to build an MCP server from scratch
- Prototyping tools and resources for a proof‑of‑concept
- Testing MCP client integrations in a controlled environment
- Demonstrating MCP concepts in workshops or tutorials
FAQ from Demonstração do Servidor MCP
What is MCP in this project?
MCP here stands for Mission Control Protocol, a protocol for creating and managing APIs based on resources and tools. The server is built using the official MCP Python SDK.
What are the system requirements?
Python 3.12 or higher and pip are required. Creating a virtual environment is recommended but optional.
How do I add a new tool to the server?
Define a function and decorate it with @mcp.tool(). The function’s parameters and docstring define the tool’s interface.
How do I add a new resource?
Define a function and decorate it with @mcp.resource("my-resource/{id}"). The URL pattern allows dynamic parameters.
Are there any known issues?
Yes. The automated tests have a known bug causing client integration tests to fail due to a test client configuration issue. This is listed as a pending fix.
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