mcpbeat

AI Text Summarizer API MCP Server

io.github.Br0ski777/ai-summarizer
answering

AI Text Summarizer API is answering right now. Last checked 6 min ago. It exposes 2 tools. Last commit 19 Jul 2026.

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

Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
2
Tools
read from the server
28 ms
Response time
average over 24h
0
Stars
last commit 19 Jul 2026

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.

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

URLTransportStateLatencyChecked
https://ai-summarizer.api.klymax402.com/mcp sse answering 33 ms 6 min ago

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 91 of 91 checks got a reply (100.0%), average response time 28 ms. The bar chart above shows every period we have measured.
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.
How fast is AI Text Summarizer API?
It answers our handshake in 28 ms on average, which is faster than 99% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
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.