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Aniket-think41

SkillShare MCP Server

SkillShare MCP Server

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: skilldb-mcp

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

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