Fify MCP Server

by renfei-design Your server? Claim it

answering

Fify is answering right now. Last checked 6 min ago. It exposes 2 tools. Last commit 24 Aug 2026.

Turn grounded AI answers into trusted comparisons, plans, timelines, and decision views.

Uptime history 26 days of history · worst day 90%

26 days agonow

97.8%

Uptime 24h

90 of 92 checks

Tools

read from the server

1425 ms

Response time

average over 24h

Stars

last commit 24 Aug 2026

Fify does not always answer

Over the last week it answered 96.4% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add fify --transport http https://fify-chatgpt.renfei1992.chatgpt.site/api/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "fify": {
      "url": "https://fify-chatgpt.renfei1992.chatgpt.site/api/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.fify]
url = "https://fify-chatgpt.renfei1992.chatgpt.site/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "fify": {
      "url": "https://fify-chatgpt.renfei1992.chatgpt.site/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "fify": {
      "url": "https://fify-chatgpt.renfei1992.chatgpt.site/api/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

information

read_information_ui_run

App-only unseen-frame reader for the mounted Fify widget.

render

render_information_ui

Render a fully grounded answer as a non-consequential interactive information view when structure or interaction materially improves it. Complete factual reasoning first and always pass the authoritative plain answer. If the user supplied sufficient facts, use them directly and invoke immediately without extra retrieval. For a named real-person profile, set profileSubject to the canonical name unless the user requests no image; Fify will perform a bounded trusted Wikimedia portrait lookup. Pre-resolved attributed Wikimedia or Openverse media may also be supplied, but never invent or guess media URLs.

Endpoints

URL	Transport	State	Latency	Checked
https://fify-chatgpt.renfei1992.chatgpt.site/api/mcp	streamable-http	answering	1651 ms	6 min ago

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Fify — questions

Answers built from our own checks of this server.

What can Fify do?

It exposes 2 tools, read directly from the server on our last check. Among them: read_information_ui_run, render_information_ui. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Fify working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 90 of 92 checks got a reply (97.8%), average response time 1425 ms. The bar chart above shows every period we have measured.

How do I connect Fify?

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.

Does Fify need an API key?

No. Fify completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Fify?

It answers our handshake in 1425 ms on average, which is faster than 2% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Fify open source?

Yes — it is published under the Apache-2.0 licence, written in JavaScript and 1 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.