AI Text Summarizer API MCP Server

by br0ski777 Your server? Claim it

not responding

AI Text Summarizer API is listed as active in the registry but did not answer our last check. It exposes 2 tools. Last commit 2 Sep 2026.

Summarize text or URLs into key points with compression ratio and reading time. x402 USDC.

Uptime history 51 days of history · worst day 0%

51 days agonow

0.0%

Uptime 24h

0 of 91 checks

Tools

read from the server

14 ms

Response time

average over 24h

Stars

last commit 2 Sep 2026

AI Text Summarizer API does not always answer

Over the last week it answered 30.0% 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 3 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add ai-summarizer --transport http https://ai-summarizer.api.klymax402.com/mcp

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

{
  "mcpServers": {
    "ai-summarizer": {
      "url": "https://ai-summarizer.api.klymax402.com/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.ai-summarizer]
url = "https://ai-summarizer.api.klymax402.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "ai-summarizer": {
      "url": "https://ai-summarizer.api.klymax402.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "ai-summarizer": {
      "url": "https://ai-summarizer.api.klymax402.com/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.

summarize

ai_summarize_text

Use this when you need to summarize long text into concise key points. Returns a structured summary with bullet points and reading metrics. 1. summary: condensed text summary (respects maxLength) 2. keyPoints: array of 3-7 extracted key takeaways 3. wordCountOriginal: word count of input text 4. wordCountSummary: word count of output summary 5. reductionPercent: percentage of text reduced (e.g. 78%) 6. readingTimeMinutes: estimated reading time for the summary Example output: {"summary":"The article discusses...","keyPoints":["AI adoption grew 40%","Enterprise spending up"],"wordCountOriginal":2500,"wordCountSummary":180,"reductionPercent":92,"readingTimeMinutes":1} Use this BEFORE presenting lengthy content to users. Essential for digesting articles, reports, meeting notes, or documentation into actionable summaries. Do NOT use for full content extraction -- use web_scrape_to_markdown. Do NOT use for SEO analysis -- use seo_audit_page. Do NOT use for sentiment analysis -- use text_analyze_sentiment.

ai_summarize_url

Use this when you need to summarize a web page by URL. Fetches the page, extracts text, and returns a structured summary with key points and reading metrics. 1. summary: condensed text summary of the page content 2. keyPoints: array of 3-7 key takeaways from the page 3. wordCountOriginal: word count of the full page text 4. wordCountSummary: word count of the summary 5. reductionPercent: percentage of content reduced 6. readingTimeMinutes: estimated reading time for the summary 7. title: page title extracted from HTML Example output: {"title":"OpenAI Blog","summary":"The post announces...","keyPoints":["GPT-5 launches Q3","API pricing drops 50%"],"wordCountOriginal":4200,"wordCountSummary":200,"reductionPercent":95,"readingTimeMinutes":1} Use this BEFORE citing or referencing web articles. Essential for quickly understanding web pages without reading the full content. Do NOT use for full content extraction -- use web_scrape_to_markdown. Do NOT use for SEO analysis -- use seo_audit_page. Do NOT use for screenshot capture -- use capture_screenshot.

Endpoints

URL	Transport	State	Latency	Checked
https://ai-summarizer.api.klymax402.com/mcp	sse	answering	14 ms	3 min ago

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AI Text Summarizer API — questions

Answers built from our own checks of this server.

What can AI Text Summarizer API do?

It exposes 2 tools, read directly from the server on our last check. Among them: ai_summarize_text, ai_summarize_url. 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 AI Text Summarizer API working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 91 checks got a reply (0.0%), average response time 14 ms. The bar chart above shows every period we have measured.

The registry lists AI Text Summarizer API as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect AI Text Summarizer API?

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 AI Text Summarizer API need an API key?

No. AI Text Summarizer API 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.

Is AI Text Summarizer API open source?

Yes — it is published under the MIT licence, written in TypeScript 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.