Server data from the Official MCP Registry
Search 214K+ certified makeup pros worldwide: artists, salons, schools, shops, brands.
About
Search 214K+ certified makeup pros worldwide: artists, salons, schools, shops, brands.
Remote endpoints: streamable-http: https://pro.makeup/api/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
8 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"makeup-pro-mcp": {
"url": "https://pro.makeup/api/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
pro.makeup MCP server
Hosted Model Context Protocol server for the pro.makeup directory — 214,000+ certified makeup professionals (artists, salons, schools, shops, and brands) across 100+ countries.
This repository is the public specification and integration kit for the
hosted MCP server at https://pro.makeup/api/mcp. The server itself is
operated by PRO Makeup / Evergrow Management PTE LTD; this repo collects the
server card, OpenAPI spec, example client configurations, registry submission
metadata, and architectural documentation.
If you are building an agent that needs to find a makeup professional, school, or shop — point your MCP-aware client at the URL above and you're done.
Quick start
Claude Desktop / Claude Code
Add to your claude_desktop_config.json (Claude Desktop) or per-project
.mcp.json (Claude Code):
{
"mcpServers": {
"promakeup": {
"type": "streamable-http",
"url": "https://pro.makeup/api/mcp"
}
}
}
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"promakeup": {
"url": "https://pro.makeup/api/mcp"
}
}
}
Raw HTTP (curl)
curl -s -X POST https://pro.makeup/api/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
See examples/ for additional configurations.
What it exposes
8 tools, 3 prompts, 2 templated resources. All read tools require no
authentication; the two phone-related / write tools require a scoped Bearer
token (see spec/auth.md).
| Tool | Scope | Read-only? |
|---|---|---|
promakeup_search_pros | open | ✅ |
promakeup_get_business_by_slug | open | ✅ |
promakeup_get_business_by_phone | owner:read | ✅ |
promakeup_get_business | open | ✅ |
promakeup_list_services_nearby | open | ✅ |
promakeup_list_schools | open | ✅ |
promakeup_get_discovery_summary | open | ✅ |
promakeup_emit_listing_event | listing-events:write | ❌ |
Prompts: find_makeup_pro, compare_pros, book_appointment_intent.
Resources: promakeup://business/{slug}, promakeup://category/{category}/featured.
Full tool descriptions, input schemas, and example outputs are in
spec/server-card.json and
spec/openapi.json.
Auth
Tokens are issued out-of-band by the operator. Email
support@pro.makeup with:
- The integration name and use case
- The scopes you need (the smallest subset that works)
- The expected request volume
Full token format, lifecycle, and error responses in
spec/auth.md.
Repository layout
.
├── README.md — this file
├── LICENSE — MIT
├── server.json — MCP registry (registry.modelcontextprotocol.io) submission
├── smithery.yaml — Smithery.ai integration manifest
├── spec/
│ ├── server-card.json — SEP-1649 MCP server card
│ ├── agent-card.json — A2A protocol descriptor
│ ├── openapi.json — OpenAPI 3.1 spec for the underlying HTTP API
│ ├── auth.md — Bearer-token authentication model
│ ├── agents.md — agent-oriented integration guide
│ ├── llms.txt — llms.txt manifest (short)
│ └── llms-full.txt — llms-full.txt reference (comprehensive)
├── examples/
│ ├── claude-desktop.json — Claude Desktop MCP config
│ ├── cursor.json — Cursor MCP config
│ ├── vscode.json — VS Code (mcp-aware extensions) config
│ ├── curl-quickstart.sh — bash smoke tests
│ └── typescript-client.ts — minimal TypeScript client over JSON-RPC
└── docs/
├── architecture.md — design of the hosted MCP server
└── registry-submission.md — registry submission tracker
Listings
This MCP server is registered in:
| Registry | Status | Link |
|---|---|---|
| registry.modelcontextprotocol.io (official) | live | makeup.pro/mcp |
| PulseMCP | auto-ingests from official | expected within 7 days |
| Glama | auto-ingests from official | expected within 1-3 days |
| MCP Now | auto-ingests from official | expected within days |
| Smithery.ai | manual submission needed (GitHub OAuth) | — |
| mcp.so | manual submission needed | see docs/registry-submission.md |
Reporting issues / requesting changes
- Bug or behavioral issue with a tool: open a GitHub issue
- Inaccuracy on a specific business listing: report via the listing's "Report
this listing" link on
pro.makeup, or emailsupport@pro.makeup - Security issues: email
support@pro.makeupdirectly (do not file a public issue)
License
MIT — see LICENSE. The pro.makeup directory data itself
is © PRO Makeup / Evergrow Management PTE LTD; the data's usage policy is
declared in the site's robots.txt via the
Content-Signal directive (search=yes, ai-train=yes, ai-input=yes).
Operator
Operated by Evergrow Management PTE LTD. Contact support@pro.makeup.
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