AppDog

0
0 Reviews
4 Stars
AppDog simplifies working with OpenAPI APIs by automatically creating typed Python clients and MCP servers, managing multiple API versions, and providing CLI tools for seamless project setup and API integration.
Added on:
Created by:
AppDog

AppDog

0 Reviews
4
0
AppDog
AppDog simplifies working with OpenAPI APIs by automatically creating typed Python clients and MCP servers, managing multiple API versions, and providing CLI tools for seamless project setup and API integration.
Added on:
Created by:
Apr 18 2025
Rodolphe Barbanneau
Featured

What is AppDog?

AppDog is a Python package designed to streamline API development and integration using OpenAPI specifications. It automates the generation of fully typed Python clients for APIs, making it easier to interact with various services. Additionally, AppDog can generate MCP (Model Context Protocol) servers for API integrations, supporting project management with version locking and configuration. Its CLI allows quick project initialization, API client management, and MCP server setup, making it suitable for developers who need to rapidly build and maintain API-powered applications and microservices.

Who will use AppDog?

  • API developers
  • Backend engineers
  • API integrators
  • DevOps teams

How to use the AppDog?

  • Step1: Initialize a new project with 'appdog init'
  • Step2: Add APIs using 'appdog add --uri '
  • Step3: List and manage API clients with 'appdog list' and 'appdog show '
  • Step4: Generate MCP server with 'appdog mcp install'
  • Step5: Run or develop MCP servers with 'appdog mcp run' or 'appdog mcp dev'

AppDog's Core Features & Benefits

The Core Features
  • Generate typed Python API clients from OpenAPI specs
  • Create MCP servers for API integrations
  • Manage multiple API client versions
  • CLI tools for project and API management
  • Support for MCP server installation and runtime
The Benefits
  • Reduces manual API client code writing
  • Ensures type safety and consistency
  • Simplifies API integration workflows
  • Supports version locking for stability
  • Facilitates quick server deployment

AppDog's Main Use Cases & Applications

  • Rapid API client generation for microservices
  • Creating MCP servers for internal API communication
  • Managing multiple API versions in large projects
  • Automating API integration tasks
  • Developing API-driven applications with minimal manual coding

FAQs of AppDog

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.