Which integrations are available for this server?

Allows importing resources from public GitHub repositories into the SkillShare registry. Allows searching and managing resources in the SkillShare registry, including skills, MCP configs, notes, and organizational data.

How do I use SkillShare MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@SkillShare MCP Server search marketplace for MCP server examples" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

SkillShare MCP Server

by Aniket-think41

Overview Schema Related Servers Score Discussions

Python

Remote

Model Context Protocol server for the SkillShare registry.

Lets AI agents use the registry directly: search the marketplace, read SKILL.md / MCP configs / notes, browse your org's pods, create notes, star, import — over the stdio transport.

Install

pip install skillshare-cli    # shared auth + local-scan core
pip install skillshare-mcp    # MCP server

Or download a standalone binary from the releases page:

curl -L https://github.com/Aniket-think41/skillshare-mcp/releases/latest/download/skillshare-mcp-linux-amd64 -o skillshare-mcp
chmod +x skillshare-mcp
sudo mv skillshare-mcp /usr/local/bin/skillshare-mcp

Related MCP server: skill4agent MCP Server

Auth

Set two environment variables (or run skillshare login from the CLI first):

export SKILLSHARE_API_URL=https://skillshare-backend-1081098542602.us-central1.run.app
export SKILLSHARE_TOKEN=skst_...     # optional — marketplace tools work without it

The token is a SkillShare Personal Access Token (mint one in the dashboard, or from ~/.config/skillshare/credentials.json after running skillshare login).

Connect to Claude Code

claude mcp add skillshare \
  --env SKILLSHARE_API_URL=https://skillshare-backend-1081098542602.us-central1.run.app \
  -- skillshare-mcp

Connect to Claude Desktop

claude_desktop_config.json:

{
  "mcpServers": {
    "skillshare": {
      "command": "skillshare-mcp",
      "env": {
        "SKILLSHARE_API_URL": "https://skillshare-backend-1081098542602.us-central1.run.app"
      }
    }
  }
}

Tools

Tool	Auth	Description
`search_marketplace(query, resource_type, tag, sort)`	–	search public skills / MCPs / notes
`get_resource(resource_id)`	–/✓	full content: SKILL.md, MCP url + config JSON, note body, attachments
`get_publisher(username)`	–	publisher profile + their public resources
`login(client_name)`	–	start browser sign-in (device flow)
`complete_login(wait_seconds)`	–	finish login after browser approval
`setup_statusline(scope, remove, force)`	–	show install/push counts in Claude Code's status bar
`whoami()`	✓	the authenticated user
`list_my_orgs()`	✓	orgs + role + plan
`list_org_structure(org_slug)`	✓	projects → pods map (ids for targeting)
`list_org_resources(org_slug, query, resource_type)`	✓	org-level resources
`list_pod_resources(pod_id, scope, query, resource_type)`	✓	pod library incl. inherited
`search_org(org_slug, query)`	✓	⌘K-style search: resources/projects/pods/members
`create_note(title, content_md, org_slug \| pod_id, …, attachments)`	✓	write a NOTE
`upload_file(path, kind)`	✓	store a local file → returns URL for attachments
`star_resource(resource_id)`	✓	star
`pin_resource(resource_id)`	✓	pin to profile
`unpin_resource(resource_id)`	✓	remove from pinned set
`list_pinned()`	✓	list pinned resources
`import_resource(resource_id, org_slug)`	✓	"Add to my org"
`submit_feedback(message, rating, category, resource_id)`	✓	send product feedback
`check_updates(unread_only, limit)`	✓	inbox: resources added/published in your scopes
`mark_notifications_read(notification_ids, mark_all)`	✓	clear inbox items
`scan_local(sources, notes_dir, include_dismissed)`	✓	find local skills/MCP/notes with status + redacted preview
`push_artifact(fingerprint, org_slug \| pod_id, title?, …)`	✓	push a scanned artifact (secrets redacted)
`import_from_github(url, org_slug \| pod_id, select, dry_run)`	✓	import from a public GitHub repo
`dismiss_artifact(fingerprint, kind, source, name)`	✓	remember not to recommend it again
`follow_publisher(username)`	✓	follow a publisher
`unfollow_publisher(username)`	✓	unfollow a publisher
`follow_org(org_slug)`	✓	follow (watch) an org
`unfollow_org(org_slug)`	✓	unfollow an org

The server instructions tell the agent to call check_updates proactively at the start of a conversation and surface anything new before other work.

Configuration

SKILLSHARE_API_URL — backend base URL (default: https://skillshare-backend-1081098542602.us-central1.run.app)
SKILLSHARE_TOKEN — bearer token (overrides stored credentials)

License

MIT

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

1Releases (12mo)

Commit activity

Resources

GitHub Repository

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