client
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- A lightweight client for interacting with LLMs, supporting OpenAI and compatible APIs with MCP extension.
- A Node.js MCP client that simplifies interaction with MCP servers using convenient methods for common operations.
- AppDog generates MCP servers from OpenAPI specifications, streamlining API development and deployment.
- A Dart implementation of MCP enabling AI agent interactions with server and client components.
- Swift-based MCP implementation for AI agent interactions with server and client components supporting protocol standard.
- A Python package for generating typed API clients and MCP servers from OpenAPI specifications.
- Rust library for building discoverable networks of AI agents with peer discovery and resource sharing.
- EasyMCP is a high-performance Python SDK for managing multiple MCP servers with caching and namespace support.
- A TypeScript-based client connecting to MCP servers, enabling AI interaction with DeepSeek or OpenAI models.
- A simple Spring Boot-based MCP client demonstration utilizing the spring-ai-mcp-client-spring-boot-starter.
- AIMCP AIME is an AI-powered multi-client platform that enables efficient management of AI models and services.
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