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Swift AI MCP Server

answering

Swift AI is answering right now. Last checked 2 min ago. It exposes 4 tools.

Swift AI: Access a wide range of AI models⚑, including OpenAI πŸ€–,DeepSeek πŸ”, Claude 🧠, Gemini 🌟, and.

Uptime history 13 days of history Β· worst day 99%
13 days agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
289 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check Swift AI every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free Β· no card

Connect this server

Endpoint below is the one we actually reach during checks β€” not the one copied from a README. Last verified 2 min ago.

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

Available tools 4

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

post
post_chat_completions
Creates a model response for the given chat conversation. Group: Chat. Billing per call: Credits: metered (~0 avg).
post_embeddings
Creates an embedding vector representing the input text. Group: Embeddings. Billing per call: Credits: metered.
post_moderations
Classifies if text is potentially harmful. Group: Moderations. Billing per call: Credits: metered.
models
get_models
Return a list of available models on this API Group: List Models. Billing per call: Credits: metered.

Endpoints

URLTransportStateLatencyChecked
https://mcp.jojapi.com/swift-ai streamable-http answering 179 ms 2 min ago

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Swift AI β€” questions

Answers built from our own checks of this server.

What can Swift AI do?
It exposes 4 tools, read directly from the server on our last check. Among them: get_models, post_chat_completions, post_embeddings, post_moderations. The full list with descriptions is on this page β€” we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place β†’
Is Swift AI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 289 ms. The bar chart above shows every period we have measured.
How do I connect Swift AI?
Copy the ready config from this page β€” 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 β€” the client connects to the address.
Does Swift AI need an API key?
No. Swift AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Swift AI?
It answers our handshake in 289 ms on average, which is faster than 58% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.