Skip to main content
Glama

Skillcp

Yes. Skills and MCP servers are already portable — every major harness just hides them in a different folder and JSON shape. Skillcp is the missing library: one copy of each skill and MCP server, published to every harness you use.

It is a CLI, an MCP server, an Agent Skill, and a local web UI, so Cursor, Claude Code, Copilot, Codex, Gemini CLI, Windsurf, OpenCode, Cline, Claude Desktop, and Pi can all drive it — or you can manage the library in a browser.

What it does

  1. Keeps a canonical library in ~/.skillcp

    • Skills as standard SKILL.md packages (~/.skillcp/skills/<name>/)

    • MCP servers as one mcp.json (~/.skillcp/mcp.json)

  2. Imports whatever you already configured in Cursor, Claude, Copilot, and the rest

  3. Syncs that library back out:

    • Skills are symlinked (copied if the OS blocks links) into each product's skills directory

    • MCP servers are merged into each product's native config format without clobbering unrelated settings

After sync, the same GitHub MCP server and the same code-review skill show up in every harness.

Related MCP server: Lab Registry Server

Install

npm install -g skillcp
skillcp --version

Or run without installing:

npx skillcp

From a checkout:

npm install
npm run build
node dist/cli.js status

First run:

skillcp init --import --install --sync

That creates the library, vacuums up existing skills/MCP configs, registers Skillcp itself as a skill + MCP server, and writes everything back to the harnesses it detects.

Everyday use

# Browser GUI for the library
skillcp ui

# See what is installed where
skillcp status
skillcp doctor

# Add a skill from a folder or GitHub repo
skillcp skill add ./my-skill
skillcp skill add anthropics/skills --path pdf

# Add an MCP server once
skillcp mcp add github --command npx --args -y,@modelcontextprotocol/server-github --env GITHUB_TOKEN=$GITHUB_TOKEN
skillcp mcp add docs --url https://example.com/mcp --type http

# Publish the library to every detected harness (user-global)
skillcp sync

# Also write project files (.cursor/skills, .mcp.json, .vscode/mcp.json, …)
skillcp sync --project

# Only Cursor + Claude Code
skillcp sync --to cursor --to claude

Use it from any harness (the plugin)

skillcp install adds:

  • the skillcp Agent Skill (so the model knows when to use it)

  • the skillcp MCP server (skillcp serve over stdio)

Any MCP-capable harness can then call tools like skillcp_add_skill, skillcp_add_mcp, skillcp_import, skillcp_sync, and skillcp_open_ui instead of editing five config files by hand.

This repo is also a native plugin for the IDEs:

Cursor / VS Code / Copilot / Windsurf

code --install-extension ./extensions/vscode
# or, in Cursor: Install from VSIX / install the folder as an extension

The extension registers the Skillcp MCP server, contributes the skill, and adds commands: Open UI, Sync, Import, Status.

Claude Code

This repository is a Claude Code plugin (/.claude-plugin/plugin.json). Enable it with:

claude plugin install .
# or
claude --plugin-dir .

If the MCP server is not connected, agents can still run the CLI. For a browser GUI, run skillcp ui. The bundled skill at skills/skillcp/SKILL.md documents both paths.

Web UI

skillcp ui

Starts a small local web server (default http://127.0.0.1:8787) and opens it in your browser. From there you can create, edit, and remove skills, add MCP servers, import from installed harnesses, and sync the library back out. It binds to localhost only.

skillcp ui --port 9000 --no-open

Supported harnesses

Harness

Skills (global / project)

MCP config (global / project)

Cursor

~/.cursor/skills / .cursor/skills

~/.cursor/mcp.json / .cursor/mcp.json

Claude Code

~/.claude/skills / .claude/skills

~/.claude.json / .mcp.json

GitHub Copilot / VS Code

~/.copilot/skills / .github/skills

~/.copilot/mcp-config.json + VS Code user mcp.json / .vscode/mcp.json

Windsurf

~/.windsurf/skills / .windsurf/skills

~/.codeium/windsurf/mcp_config.json / .windsurf/mcp.json

OpenAI Codex

~/.codex/skills / .codex/skills

~/.codex/config.toml / .codex/config.toml

Gemini CLI

~/.gemini/skills / .gemini/skills

~/.gemini/settings.json / .gemini/settings.json

OpenCode

~/.config/opencode/skills / .opencode/skills

opencode.json (mcp map, local/remote)

Cline

~/.cline/mcp.json

Claude Desktop

claude_desktop_config.json

Generic .agents

~/.agents/skills / .agents/skills

Pi

~/.pi/agent/skills / .pi/skills

~/.pi/agent/mcp.json / .pi/mcp.json

MCP conversion covers the real format drift: mcpServers vs servers vs OpenCode mcp vs Codex TOML mcp_servers, plus Gemini's httpUrl vs url.

Pi has no native MCP; Skillcp still writes mcp.json in Pi's agent dir so pi-mcp-adapter (and similar extensions) pick the same servers up.

Several hosts scan more than their own skill folder (Cursor also reads Claude, Codex, and .agents; Copilot and Gemini read .agents; Pi reads .agents). Sync writes each skill to the fewest folders that still reach every product, and removes leftover Skillcp links that would show up twice. MCP configs are per-product and are not folded this way.

skillcp harnesses prints the resolved paths on your machine.

How a library looks

~/.skillcp/
  config.json          # symlink vs copy
  mcp.json             # canonical MCP servers
  manifest.json        # names Skillcp manages
  skills/
    code-review/SKILL.md
    skillcp/SKILL.md
  backups/             # copies of harness files before each MCP write

Sync is additive. Extra MCP servers a harness already had are left alone. Servers Skillcp used to manage that left the library are dropped from harness files on the next sync (and immediately on skill rm / mcp rm). --force replaces skill folders that are not Skillcp symlinks. --keep on rm leaves harness copies in place.

Project vs global

Default sync is user-global, so every repo you open gets the same personal skills and MCP servers.

--project writes into the current working directory for team-shared setup. Commit those files if the whole team should get them.

Secrets

Skillcp does not rewrite or encrypt env values. Prefer environment-variable references ($GITHUB_TOKEN) in mcp.json instead of pasting tokens. Backups under ~/.skillcp/backups will contain whatever was already in the harness file.

CLI

skillcp init [--import] [--install] [--sync]
skillcp status [--project]
skillcp doctor
skillcp import [--to cursor] [--all] [--project] [--overwrite]
skillcp sync [--to claude] [--all] [--project] [--dry-run] [--force] [--prune]
skillcp install [--no-sync]
skillcp serve
skillcp ui [--port 8787] [--host 127.0.0.1] [--no-open]
skillcp skill list|add|rm|show
skillcp skill rm <name> [--keep] [--project]
skillcp mcp list|add|rm|show
skillcp mcp rm <name> [--keep] [--project]
skillcp harnesses

What we deliberately do not do

Skillcp stays a local library plus adapters. It does not:

  • Store secrets in a keychain (copy env values as written; prefer $ENV_NAME)

  • Cover every editor (Amp, Roo, Continue, Zed, Goose, Crush, …). New hosts are a small adapter if you need them.

skill rm and mcp rm unsync detected harnesses by default. Pass --keep to leave those copies alone (skills that were symlinks are copied first so they keep working).

skillcp with no arguments prints a short status and the two commands that matter: ui and sync.

Development

npm install
npm test
npm run build
node dist/cli.js status

Node 20+ is required.

A
license - permissive license
Not graded
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

View all related MCP servers

Related MCP Connectors

  • A registry of 5,900+ peer-authored skills any MCP agent can search and load on demand.

  • Search your team's shared AI-skill library, get install commands, and save skills from your agent.

  • Manage SRG+ hubs, channels, content, assets, users, and workspaces from any MCP-aware AI agent.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lum1n/skillcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server