"Créer des systèmes de prompt pour les modèles de langage (LLM)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
SEO audit of every page: what to fix first, a fix prompt for your framework, and a re-check.
Convert PDF, DOCX, HTML, and URLs to clean, LLM-ready markdown with tables preserved
Your agent needs the open web — searched by more than one engine, and read as clean markdown rather than raw HTML. **What you can ask for** • "Search this question with two providers and tell me where they disagree." • "Scrape these 40 URLs into markdown, in one batch." • "Crawl this documentation site and give me every page." • "Do deep research on this topic and cite the sources." • "Find the academic papers behind this claim." **How to use it** Point any MCP client at https://mcp.aisa.one/search/mcp and sign in with OAuth — there is no key to create or paste. 30 tools across several independent providers: Tavily and Exa search, answers, contents and agent runs; Firecrawl scrape, batch scrape, crawl, map and search; Perplexity Sonar, Sonar Pro, reasoning and deep research; Oxylabs AI search and LLM jobs; OpenAI and Anthropic web search; and scholarly search. **Why this rather than the source** Several independent indexes behind one account, because one engine's blind spot is not visible from inside it. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Find the page here, then ask the same agent who links to it or how much traffic it gets — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/seo-serp/mcp for the Google results page itself, https://mcp.aisa.one/seo-serp-other-engines/mcp for Bing, Baidu and Naver.
Checks whether a website is readable and citable by AI systems (ChatGPT, Claude, Perplexity, etc.)
Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines.
A fast, secure, and LLM-friendly Model Context Protocol (MCP) server that scrapes job listings from major platforms (LinkedIn, Indeed, Google) and converts them into structured Markdown format.
Scrape any URL into clean LLM-ready Markdown, or crawl a whole site.
Create, validate and audit llms.txt, incl. the Lighthouse Agentic Browsing check.
Read any web page as clean text for a prompt, or list every link on it.
Ce qu'une IA lit des sites web français : note, axes, secteur, questions sans réponse.
Convert any webpage to clean LLM-ready markdown, extraction-first, with article and news modes.
Web page or HTML to clean LLM-ready Markdown or JSON. x402 pay-per-call, $0.005, no API key.
URL to clean markdown for LLMs: a polite, robots.txt-respecting web reader. Free, no API key
Web scraping for AI agents. Converts URLs to clean, LLM-ready Markdown with anti-bot bypass.
An MCP server that gives any LLM or agent clean YouTube transcripts on demand: a single video, a whole channel, or a playlist, plus AI cleanup of auto-generated captions. API-key auth, credit-based, same backend as the public v1 API. Get a free API key with 25 free credits at youtubetranscriptdownload.com/account.
Convert documents and web pages to clean, LLM-ready Markdown: PDFs via pdf-inspector, DOCX/XLSX/PPTX/EPUB via MarkItDown, scanned files and images via OCR, and any public URL. Free tier needs no API key; Pro keys unlock unlimited conversions and OCR. Tools: convert_url, convert_base64, list_supported_formats, usage_status.
Jina AI Reader/Search MCP — turn any URL into clean LLM-ready markdown, plus web search.
Discover a site's pages from its sitemap and sample them for WCAG and prompt-injection risk.
HTML to clean Markdown for LLM and RAG pipelines: headings, lists, tables, links, code fences. Pr...
