Mcpn

Name: Mcpn
Author: dx-zero

@dx-zero

Repository Homepage

About Mcpn

orchestrate & combine prompts + MCP servers into compound MCP tools

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcpn": {
      "command": "npx",
      "args": [
        "-y",
        "mcpn@latest",
        "init"
      ]
    }
  }
}

Tools

getConsoleErrors

getNetworkErrors

Overview

What is Mcpn?

Mcpn (mcpn.ai) is an MCP server that helps you create, organize, and share AI workflows and prompts as reusable, version‑controlled YAML configurations across MCP tools and servers.

How to use Mcpn?

Install via npx -y mcpn@latest init or add a JSON config to your MCP client (e.g., Cursor). Optionally supply --config /path/to/.workflows and --preset thinking,coding,github to load custom or preset workflow definitions.

Key features of Mcpn

Define workflows in YAML files (.workflows or .mcp-workflows)
Combine prompts with MCP tools in reusable templates
Inject typed parameters using {{ parameter_name }}
Choose between situational (default) and sequential tool execution
Reduce token usage by routing prompts through a dedicated tool
Version control workflows with git for team sharing

Use cases of Mcpn

Debug web applications by invoking browser logs and screenshots in sequence
Perform structured PR reviews and PR creation using GitHub CLI
Plan code changes with systematic analysis and implementation steps
Think through complex problems with multi‑perspective reasoning modes
Automate incident response by gathering logs, checking issues, and writing reports

FAQ from Mcpn

What dependencies does Mcpn require?

Mcpn is an npm package run via npx, so Node.js must be installed on your system.

How can I share workflows with my team?

Store your YAML files in a .workflows or .mcp-workflows directory and commit them to a git repository. Team members then point to the same config folder using --config.

Which presets are included out of the box?

Three presets are available: thinking (reasoning modes), coding (debugging, architecture, planning, PRD), and github (PR review, PR creation, branch creation, save changes).

How do I define custom workflows with parameters?

Create a YAML file with a workflow name, description, prompt containing {{ parameter_name }}, and a parameters block specifying each parameter’s type, description, and required flag.

Can I control the order tools are used in a workflow?

Yes. Set toolMode: sequential to execute tools in the exact order listed; omit it (or set situational) to let the AI decide which tools to use as needed.