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Tinder Bio

Generates dating profile bios through MCP, with gateway, HTTP, and local stdio connection options.

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Install Tinder Bio

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "tinder-bio": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-tinder-bio"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Install not yet sandbox-tested— we haven't run this command through our automated sandbox yet. Not a red flag; we're working through the catalog.

Overview

The Tinder Bio MCP server generates dating profile bios through the `tinder_bio_generate` tool. It can connect through the Pipeworx gateway, be called with HTTP, or run locally as a stdio MCP server without an account. Use it when an agent needs to create a profile bio from details such as profession, personality, dating situation, and relationship goals.

Use cases

  • Generate a dating profile bio from personal details
  • Create a new-app profile for a specified dating goal
  • Call bio generation from an HTTP-based workflow
  • Run the generator locally through an MCP client

Key features

  • Dating profile bio generation
  • Red flags included in generated bios
  • Hosted streamable MCP endpoint
  • Direct HTTP tool access
  • Local stdio package
  • Optional Pipeworx gateway routing

Tools1

What Tinder Bio lets your agent do. Expand a tool for its parameters.

Self-reported~22 tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 2d ago

Recent health check succeeded.

7/7 checks healthy over the last 45d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 14d ago via OSV.dev · @pipeworx/mcp-tinder-bio (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads596Package downloads in the last 30 days.
Last commit26d agoMost recent push to the default branch.
Tools exposed1Callable tools this server registers over MCP.

How Tinder Bio works

What the Tinder Bio MCP server does

The Tinder Bio MCP server exposes one pack-specific MCP tool: tinder_bio_generate. It generates a dating profile bio and includes red flags in the generated result at no additional charge, according to the project documentation.

The tool is provided through Pipeworx and can be used by an MCP-compatible client or called directly over HTTP. The repository also provides a local npm package for clients that launch MCP servers over standard input and output.

How it works

The hosted option uses a streamable MCP endpoint at https://gateway.pipeworx.io/tinder-bio/mcp. Add that URL to an MCP client to expose the Tinder Bio tool. The same gateway also offers a full endpoint at https://gateway.pipeworx.io/mcp; the pack endpoint lists Tinder Bio tools directly, while both endpoints can access Pipeworx routing through the shared ask_pipeworx capability.

For clients or scripts that do not use MCP, send a JSON POST request to https://gateway.pipeworx.io/v1/tools/tinder_bio_generate. The documented example passes age, profession, personality, situation, gender, relationship preference, and energy. Tool metadata can be inspected with a GET request to the corresponding /v1/tools/ URL.

Setup and configuration

For a hosted connection, configure the MCP client with the gateway URL. The documentation states that the initial calls do not require an account.

For local use, configure the client to run npx -y @pipeworx/mcp-tinder-bio. This starts the package as a stdio MCP server. It does not require a Pipeworx account or a gateway round trip, and it exposes only the pack’s own tools.

A direct HTTP call requires Content-Type: application/json and a request body containing the tool arguments. No API key or other environment variable is documented for the hosted or local setup.

Tools and capabilities

  • tinder_bio_generate: Creates a dating profile bio from supplied profile details and includes red flags in the output.
  • Pipeworx gateway connections also expose shared gateway tools, including ask_pipeworx, discover_tools, search_within, remember, and recall.
  • ask_pipeworx can route a natural-language request across the wider Pipeworx catalog when using a gateway connection.

The standalone package does not include those shared gateway meta-tools. Its MCP methods are limited to the Tinder Bio pack.

Limitations and notes

The project documentation describes the gateway as covering more than 1,684 live data sources, but this server’s own pack-specific functionality is the single bio-generation tool. The number of tools reported by a hosted tools/list call can therefore be larger because of shared gateway tools; the connection’s initialize response is the authoritative scope for that connection.

It also does not list any required environment variables. Choose the local stdio mode when you want only this pack’s tool, and the hosted mode when gateway routing is useful.

Read the full README View source on GitHub

Reviews

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Frequently Asked Questions about Tinder Bio

Tinder Bio is an MCP server that connects AI clients to Pipeworx’s dating-bio generation service. Its main tool, `tinder_bio_generate`, creates a dating profile bio and includes red flags. The server is available through a hosted MCP endpoint, direct HTTP requests, or a local npm-based stdio process.

Run `npx -y @pipeworx/mcp-tinder-bio` through your MCP client for local stdio use. Alternatively, configure the client with `https://gateway.pipeworx.io/tinder-bio/mcp`. The local option does not require a Pipeworx account.

Yes, Tinder Bio works with Cursor through the hosted MCP URL shown in the README. Add `https://gateway.pipeworx.io/tinder-bio/mcp` as an MCP server in Cursor to access the pack’s bio-generation tool.

Yes, call `https://gateway.pipeworx.io/v1/tools/tinder_bio_generate` with a JSON POST request. The documented request includes profile fields such as age, profession, personality, situation, gender, relationship preference, and energy.

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