How does FastAPI Server handle data validation?

It ensures robust data integrity and clear API contracts by using Pydantic models for both request and response validation.

What is FastAPI Server?

FastAPI Server is a minimalist FastAPI implementation that mimics a subset of the Model Context Protocol (MCP), offering both REST and JSON-RPC 2.0 endpoints for API development.

What kind of API endpoints does it provide?

It features an echo-style REST endpoint (`/mcp`) for structured responses and a JSON-RPC 2.0 endpoint (`/mcp/rpc`) that supports tool listing (`mcp.list_tools`) and execution (`mcp.call_tool`).

What kind of tools are included or can be used?

The server includes example tools for text manipulation (e.g., `echo`, `uppercase`), database queries (`query_manse`), and date calculations (`calc_daewoon`), demonstrating its extensible tool execution capabilities.

Is FastAPI Server suitable for prototyping?

Yes, its minimalist design, quick start guide, and clear usage examples make it ideal for rapid prototyping of MCP-style APIs and tool integrations.

FastAPI Server

Name: FastAPI Server
Author: ilyoungkim

byilyoungkim

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Desarrollo de API

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Gestión de Bases de Datos

Provides a minimalist FastAPI server implementation designed to mimic a subset of the Model Context Protocol (MCP) functionality.

This project offers a lightweight FastAPI server that emulates key aspects of the Model Context Protocol (MCP). It features both a straightforward RESTful echo endpoint and a robust JSON-RPC 2.0 interface. The RPC endpoint supports discovering available tools (`mcp.list_tools`) and executing them (`mcp.call_tool`), demonstrating functionality with built-in examples like `echo`, `uppercase`, `query_manse` for database interaction, and `calc_daewoon` for date calculations. Complete with Pydantic models for structured data handling, basic logging, and comprehensive tests, it serves as an excellent starting point for building or integrating with MCP-style services.

Características Principales

01Echo-style REST endpoint returning structured responses

02JSON-RPC 2.0 endpoint supporting tool listing and execution

03Includes example tools for text manipulation, database query, and date calculations

04Uses Pydantic models for request and response validation

05Includes basic logging and pytest for comprehensive testing

060 GitHub stars

Casos de Uso

01Learning FastAPI server implementation with structured RPC and database integration patterns

02Exposing internal Python functions or microservices via a standardized JSON-RPC API

03Developing and testing services compatible with the Model Context Protocol