Facehunch MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Facehunch MCPfind where my photos appear online"
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.
Facehunch MCP
Explore where your photographs appear online through a consent-based face-search workflow.
get_profile reads only your own account ID and email. It does not identify other people, perform face searches, access photographs or search reports, or spend credits.
Remote MCP
Use https://facehunch.com/mcp in a client that supports remote MCP with OAuth. Sign in to Facehunch and explicitly approve the connection.
Related MCP server: locket
Claude Desktop and other stdio clients
Requires Node.js 22 or newer. Add this configuration:
{
"mcpServers": {
"facehunch": {
"command": "npx",
"args": [
"-y",
"facehunch-mcp"
]
}
}
}Or install the .mcpb file from Releases in your desktop client's Extensions settings. The connector opens your browser for sign-in. If the consent page asks you to sign in, use its new-tab link, then return and refresh the consent page.
Privacy and permissions
Your product password and provider credentials are not requested by this package. The pinned mcp-remote bridge handles OAuth, PKCE and local token storage. It connects only to the fixed endpoint above; command-line endpoint overrides are not supported. OAuth tokens are stored locally by mcp-remote and should be treated as credentials.
Revoke a connection at Facehunch MCP connections.
Development and publishing
Run npm ci and npm test. GitHub Actions publishes a new package version using the organization’s NPM_TOKEN secret, then builds and releases the desktop bundle. Keep package.json, manifest.json, server/config.json and server.json versions aligned.
Marketplace approval is separate from npm publication. See the product’s submission notes for endpoint tests and review prerequisites.
This server cannot be deployed
Maintenance
Related MCP Connectors
Personal asset search engine: everything you make or upload is searchable by what's inside it.
Keyless web, GitHub, YouTube and Reddit search and read. Delegated shop, booking and signup.
Personal context and preferences for AI via OAuth-approved profile sections and taste data.
Search photos/videos; manage collections, people and duplicates. Requires paid OwAI Cloud Access.
Related MCP Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to browse and search local photo galleries without uploading photos, using metadata-only indexing and local thumbnail serving.8MIT
- AlicenseNot gradedqualityBmaintenanceA privacy-first personal context engine that ingests personal photos and message exports, extracts cited facts, and serves a queryable profile over MCP for natural-language questions like 'when did I last see Sarah?'.MIT
- AlicenseNot gradedqualityBmaintenanceExposes a private social memory archive to AI assistants via MCP, enabling read-only queries about the user's posts, people, and preferences with tools like search, whoami, and timeline.MIT
- FlicenseBqualityBmaintenanceEnables browser-based Twitter/X research and account workflows through a signed-in browser, supporting search, timeline/profile reads, saved searches, snapshot exports, and prepared account actions without requiring an X developer API key.25-