ZBS Index What actually exists in applied AI, with the source next to it

mcp server

AI Text Summarizer API

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

Description as published by the maintainer. Source

  • version 1.1.0
  • active

active — Most recent push to the repository was 2026-07-19.

What this server can do

2 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

ai_summarize_text(text, maxLength)
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. Required: text.
ai_summarize_url(url, maxLength)
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. Required: url.

Last successful function declaration observed on . Source: https://ai-summarizer.api.klymax402.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://ai-summarizer.api.klymax402.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-07-19 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 1.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-05-16 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-05-16 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 2 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe ai-summarizer.api.klymax402.com
mcp endpoint status ok The server listed 2 functions when asked. as of probe ai-summarizer.api.klymax402.com

Where to get it

Related, by what their authors tagged them

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These share tags the maintainers applied themselves, such as nlp, x402. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

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How the author describes it

Topics the maintainer set on GitHub: ai-agents, mcp, mcp-server, nlp, summarization, text-processing, x402.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Tools declared by the MCP server at https://ai-summarizer.api.klymax402.com/mcp — ai-summarizer.api.klymax402.com, observed , trust tier 1.
  2. Br0ski777/ai-summarizer-x402 on GitHub — GitHub, observed , trust tier 3.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.