# Faceup — how to use (mcp.ai)

Connect your Faceup account and use 1 tools for customer support straight from your AI agent. Connect with your own API key. FaceUp is an anonymous reporting tool designed for companies and schools, enabling employees and students to safely report issues and misconduct.

## Option A — via MCP (recommended)
Remote MCP endpoint (HTTP, streamable): `https://api.mcp.ai/p_faceup?ms=1787293380000`
Add it as a custom/remote MCP connector in your client (Claude, Cursor, VS Code…), then authenticate when prompted. Once connected, ask the agent to use the server's tools (e.g. `faceup_graphql_statistics_query`).

## Option B — via direct REST API
Base URL: `https://api.mcp.ai/api/faceup`
Auth: `Authorization: Bearer sk_live_…` — create a workspace API key at https://mcp.ai/settings/api-keys
Discover endpoints: `GET https://api.mcp.ai/api/faceup/_endpoints`

### Endpoints
- `POST https://api.mcp.ai/api/faceup/graphql/statistics/query` — Execute GraphQL queries against the FaceUp statistics endpoint. Retrieves whistleblowing statistics with filtering by report criteria. Requires filter (ReportFilterInput), isPartnerAdministration, onl
  - body: { query: string, variables?: object }

## Example prompts
- "What can I do in Faceup?"
- "Show me a summary of my Faceup account"

## More
- Page: https://mcp.ai/faceup
- Agent spec (llms.txt): https://mcp.ai/faceup/llms.txt
- Postman collection: https://mcp.ai/faceup/postman.json