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Facehunch MCP Server

by facehunch Your server? Claim it
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Facehunch is answering right now. Last checked 4 min ago. 439 installs a week from npm. Last commit 22 Sep 2026.

Read-only MCP connector for Facehunch saved reports, access status and available source links.

Installs per day peak 280 · avg 14
a month agotoday
Uptime history 45 hours of history · worst hour 0%
45 hours agonow
93.5%
Uptime 24h
86 of 92 checks
—
Tools
hidden behind auth
251 ms
Response time
average over 24h
439
Installs / week
npm and PyPI

What the code does

We read the source, 22 h ago · rules 3dff92dd89df

Evidence

Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.

Claims read-only, but the code runs commands server/index.js:13, [пакет] server/index.js:13
const child=spawn(process.execPath,args,{stdio:'inherit',shell:false});
Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

const child=spawn(process.execPath,args,{stdio:'inherit',shell:false});

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

We found things in this code

Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Facehunch and you get told the day something new turns up.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.

run in your terminal
claude mcp add mcp-server --transport http https://mcp.facehunch.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-server": {
      "url": "https://mcp.facehunch.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-server]
url = "https://mcp.facehunch.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-server": {
      "url": "https://mcp.facehunch.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp-server": {
      "url": "https://mcp.facehunch.com/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://mcp.facehunch.com/mcp streamable-http sign-in 200 ms 4 min ago

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answering

Facehunch — questions

Answers built from our own checks of this server.

Why is there no tool list for Facehunch?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 93.5% of checks in the last 24 hours got a reply.
Is Facehunch working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 86 of 92 checks got a reply (93.5%), average response time 251 ms. The bar chart above shows every period we have measured.
How do I connect Facehunch?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Facehunch?
No API key is involved. Facehunch answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Facehunch?
It answers our handshake in 251 ms on average, which is faster than 64% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Facehunch?
The npm package facehunch-mcp was installed 439 times in the last week. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Facehunch open source?
Yes — it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.