Agent SkillsPaca-AI/paca › paca-setup

paca-setup

GitHub

引导用户逐步配置Paca MCP服务器,适用于Claude Code或Desktop。涵盖环境检查、配置文件生成与应用、连通性验证及全局技能安装,确保MCP服务正确集成。

skills/paca-setup/SKILL.md Paca-AI/paca

Trigger Scenarios

首次设置Paca 添加或编辑MCP服务器配置 排查连接问题 全局安装Paca技能

Install

npx skills add Paca-AI/paca --skill paca-setup -g -y
More Options

Use without installing

npx skills use Paca-AI/paca@paca-setup

指定 Agent (Claude Code)

npx skills add Paca-AI/paca --skill paca-setup -a claude-code -g -y

安装 repo 全部 skill

npx skills add Paca-AI/paca --all -g -y

预览 repo 内 skill

npx skills add Paca-AI/paca --list

SKILL.md

Frontmatter
{
    "name": "paca-setup",
    "description": "Configure the Paca MCP server for use with Claude Code or Claude Desktop. Use when setting up Paca for the first time, adding or editing the MCP server config, troubleshooting connectivity, or installing the Paca skills globally. Walks the user through prerequisites, config file generation, verification, and optional global skill install.",
    "compatibility": "Requires Node.js 18+ and a running Paca instance."
}

You are helping the user configure the Paca MCP server for their Claude Code environment.

Walk the user through the setup interactively, step by step. Do not dump all instructions at once — confirm each step before proceeding.


Setup flow

Step 1 — Check prerequisites

Ask the user to confirm:

  • Paca is running (local: http://localhost:8080, or their hosted URL)
  • Node.js 18+ is installed (node --version)
  • They have a Paca API key (Settings → API Keys inside Paca UI)

If any prerequisite is missing, guide the user to resolve it before continuing.

Step 2 — Identify the Claude Code config file

Ask which environment they want to configure:

A. Claude Code (CLI) — project-level (recommended for team projects) → Create or edit .claude/mcp.json in the project root.

B. Claude Code (CLI) — global → Run: claude mcp add paca --env PACA_API_KEY=<key> --env PACA_API_URL=<url> -- npx -y @paca-ai/paca-mcp

C. Claude Desktop → Edit the config file for your OS:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

Step 3 — Generate the config snippet

Based on their choice, generate the exact config block. Example for option A (.claude/mcp.json):

{
  "mcpServers": {
    "paca": {
      "command": "npx",
      "args": ["-y", "@paca-ai/paca-mcp"],
      "env": {
        "PACA_API_KEY": "<their-api-key>",
        "PACA_API_URL": "<their-paca-url>"
      }
    }
  }
}

Substitute the actual values the user provides. Remind them:

  • Never commit API keys to git. Add .claude/mcp.json to .gitignore if it contains a key, or use environment variable substitution.

Step 4 — Apply the config

For option A, write the .claude/mcp.json file directly (ask permission first).
For options B and C, show the command/snippet and ask the user to apply it.

Step 5 — Verify

Once configured, ask the user to restart Claude Code / Claude Desktop, then test with:

"List my Paca projects"

If Paca tools appear and return results, setup is complete. If not, check:

  1. JSON syntax is valid
  2. API key is correct (no extra spaces)
  3. Paca API URL is reachable (curl <PACA_API_URL>/api/v1/health)
  4. Node.js / npx is in PATH

Step 6 — Install the Paca skill globally (optional)

Offer to run the global skill installer so /paca and related skills are always available:

curl -fsSL https://raw.githubusercontent.com/Paca-AI/paca/master/scripts/install-claude-skill.sh | bash

Review the script before running it — curl | bash executes remote code directly.


Environment variables reference

Variable Required Description
PACA_API_KEY Yes API key from Paca → Settings → API Keys
PACA_API_URL No (default: http://localhost:8080) Your Paca instance URL

Version History

  • 1a37f10 Current 2026-07-05 14:57

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Indexed
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