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ai.packmind/mcp-server

Packmind captures, scales, and enforces your organization's technical decisions.

Links

Repository

README

From the repo.

One Engineering Playbook. Synced Everywhere. For Every AI Coding Agent.

License Stars Main OSS CI/CD Pipeline Works with GitHub Copilot Works with Cursor Works with Claude Code

❗ The 2 big problems every AI-native engineer runs into

1️⃣ “What do I even put in these AI instructions?”

Every tool expects its own inputs:

  • Copilot → .github/copilot-instructions.md, chat modes, reusable prompts
  • Claude → CLAUDE.md, commands, skills
  • Cursor → .cursor/rules/*.mdc, commands, skills
  • AGENTS.md → AGENTS.md
  • (with more formats appearing every month…)

But your team’s actual standards aren’t stored anywhere:

  • architecture rules → buried in Slack or Notion
  • naming conventions → stuck in your head
  • patterns → hiding in PR comments
  • best practices → scattered across repos

👉 Packmind helps you turn all of this into a real engineering playbook (standards, commands, skills) so AI agents finally code your way.

2️⃣ “Why am I copy-pasting this across every repo and every agent?”

Every repo. Every assistant. Different files, different folders, different formats.

Keeping everything in sync is impossible.

👉 Packmind centralizes your playbook once — and distributes it everywhere, generating the exact instruction files each AI tool needs, optimized for context.

🆚 Why Packmind over a plain Claude Code marketplace or a plain centralized Git repository?

A marketplace distributes skills and commands from a Git repo. Packmind does more:

  • Controlled editing: context files go through a clear ownership and approval workflow. No PR discipline or CODEOWNERS conventions to enforce.
  • Simplified updates: update proposals are submitted from the project codebase, no separate repo to clone or PR.
  • Multi-agent: one source, rendered for Claude Code, Copilot, Cursor and more. No parallel CLAUDE.md or .cursor/rules to maintain.
  • Adoption tracking: see which context files are used, in which repo, at which version.

A marketplace ships content. Packmind governs it.

Get started

Choose your preferred setup option:

Option 1: Install the CLI (recommended)

Follow the instructions during the onboarding to connect to your Packmind organization You can find them at anytime in the Settings menu.

Once authenticated, run in your project:

$> packmind init

Then, in your favorite ai coding agent, run:

/packmind-onboard

To create your first standards and commands from your codebase.

Documentation

Available here: https://docs.packmind.com.

:compass: Key Links

Config for your environment

Use the endpoint URL below in your config. No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "https://app.packmind.ai/mcp"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.