Mcpn
@dx-zero
关于 Mcpn
orchestrate & combine prompts + MCP servers into compound MCP tools
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcpn": {
"command": "npx",
"args": [
"-y",
"mcpn@latest",
"init"
]
}
}
}工具
2getConsoleErrors
getNetworkErrors
概览
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 (
.workflowsor.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.
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