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APICK AI MCP Server

answering

APICK AI is answering right now. Last checked moments ago. It exposes 4 tools. Last commit 31 Aug 2026.

LLM chat, text summarization and text polishing

Uptime history 22 days of history · worst day 93%
22 days agonow
100.0%
Uptime 24h
92 of 92 checks
4
Tools
read from the server
1113 ms
Response time
average over 24h
1
Stars
last commit 31 Aug 2026

APICK AI does not always answer

Over the last week it answered 99.7% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

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 0 min ago.

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

llm
llm_chat
Send a chat request to a selected LLM model and receive the assistant reply. 선택한 LLM 모델에 대화를 보내고 assistant 응답을 받습니다. 서버는 대화 히스토리를 보관하지 않는 stateless 방식 — 매 호출마다 전체 히스토리를 messages 로 전송하고, 응답의 compacted_messages 를 다음 턴의 messages 로 그대로 재사용합니다. 사용 가능한 모델은 llm_models Tool로 조회합니다. 토큰 사용량에 비례해 포인트가 차감됩니다. [무료]
llm_models
List available text-generation LLM models with per-token pricing and max context. 텍스트 생성 모델 카탈로그를 반환합니다. 각 모델의 1M 토큰당 input/output 단가(포인트), 계열·크기·멀티모달 여부·태그·추천 용도(use_cases)·max_context 를 한 응답에 포함합니다. llm_chat Tool의 model 입력값을 찾을 때 사용합니다. 무료입니다. [무료]
text
text_polish
Polish a text (up to 100,000 characters) by fixing grammar, spelling, and awkward phrasing. 입력 텍스트(최대 10만 자)의 문법 오류, 맞춤법·오타, 어색한 표현, 문장 순서를 의미를 유지한 채 자연스럽게 다듬습니다. 모델·파라미터는 서버가 고정하며 빠른 응답에 최적화되어 있습니다. 토큰 수와 무관하게 요청당 고정 포인트가 차감됩니다. [호출당 100포인트]
text_summary
Summarize a long text (up to 100,000 characters) into a concise Korean summary. 입력 텍스트(최대 10만 자)의 핵심 내용을 간결하고 정확하게 요약합니다. 모델·파라미터는 서버가 고정하며 빠른 응답에 최적화되어 있습니다. 토큰 수와 무관하게 요청당 고정 포인트가 차감됩니다. [호출당 100포인트]

Tools removed

These were exposed before and are gone now. No other catalogue tracks this.

ai_image_generation
removed 29 Aug 2026

Endpoints

URLTransportStateLatencyChecked
https://apick.app/mcp/ai streamable-http answering 1135 ms 0 min ago

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APICK AI — questions

Answers built from our own checks of this server.

What can APICK AI do?
It exposes 4 tools, read directly from the server on our last check. Among them: llm_chat, llm_models, text_polish, text_summary. 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 →
What is APICK AI mostly used for?
Its tools cluster around llm and text. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is APICK AI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 1113 ms. The bar chart above shows every period we have measured.
Did APICK AI ever remove tools?
Yes. ai_image_generation is no longer exposed — we recorded the date each one disappeared. A tool vanishing usually means a breaking change for anything that depended on it.
How do I connect APICK AI?
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 APICK AI need an API key?
No. APICK 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 APICK AI?
It answers our handshake in 1113 ms on average, which is faster than 6% 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 APICK AI open source?
Yes — it is published under the MIT 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.