Quick Mcp

@wycatson a year ago

15 MIT

FreeCommunity

AI Systems

Core package for converting OpenAPI specs into MCP tools.

What is Quick Mcp

quick-mcp is a monorepo project that provides a core package for converting OpenAPI specifications into MCP tools, facilitating the integration and usage of APIs.

Use cases

Use cases for quick-mcp include generating client libraries from OpenAPI specifications, creating API documentation, and automating the testing of APIs in development workflows.

How to use

To use quick-mcp, refer to the detailed documentation available in the ‘packages/core/README.md’ file, which includes installation instructions and usage examples.

Key features

Key features of quick-mcp include the ability to convert OpenAPI specifications seamlessly, support for various MCP tools, and a modular architecture that enhances maintainability and scalability.

Where to use

quick-mcp can be used in software development environments where API integration is required, particularly in projects that utilize OpenAPI specifications for defining APIs.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Quick Mcp

quick-mcp is a monorepo project that provides a core package for converting OpenAPI specifications into MCP tools, facilitating the integration and usage of APIs.

Use cases

Use cases for quick-mcp include generating client libraries from OpenAPI specifications, creating API documentation, and automating the testing of APIs in development workflows.

How to use

To use quick-mcp, refer to the detailed documentation available in the ‘packages/core/README.md’ file, which includes installation instructions and usage examples.

Key features

Key features of quick-mcp include the ability to convert OpenAPI specifications seamlessly, support for various MCP tools, and a modular architecture that enhances maintainability and scalability.

Where to use

quick-mcp can be used in software development environments where API integration is required, particularly in projects that utilize OpenAPI specifications for defining APIs.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

MCPify

This monorepo contains the core package for converting OpenAPI specifications into MCP tools.

For detailed documentation and usage instructions, see packages/core/README.md.

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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