mcpn
If you are the rightful owner of mcpn and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
mcpn.ai helps you create, organize, and share AI workflows and prompts, acting as a dynamic prompt library that can be shared and versioned across MCP tools and servers for specific tasks.
Workflows MCP (mcpn) are the building blocks of software development, orchestrating multiple MCP servers and prompts. It functions like a dynamic prompting library that can be easily shared and version controlled through YAML files, allowing users to define how to best use many MCP tools across various MCP servers for specific tasks. The goal is to turn prompts into programmable tools and rules for AI in a code editor, making them more deterministic while reducing the overall token use across all requests. Workflows for MCP are powerful, enabling the creation of tools like a 'production incident workflow' that uses a series of tools in a specific order to analyze and potentially resolve incidents. These workflows are defined in YAML and can be referenced from anywhere on your machine, making it easy to rally your team around the best prompts and sequences of MCP tools for specific tasks.
Features
- Custom Configuration: Load custom configs from multiple YAML files, easily save to a git repo, and support typed parameter inputs in tool configurations.
- Ready-to-Use Presets: Includes multiple preset workflow modes for thinking, coding, and GitHub use, providing tools for reasoning, coding tasks, and GitHub operations.
- Sequential and Situational Tool Configuration: Allows defining tools in several ways, including sequential execution or situational use, with support for parameter injection.
- Advanced Tool Configuration: Define prompts for each tool and use an optional flag to indicate if the tool is optional in the sequence.
