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MCP live MCP 2025-11-25 streamable-http

inktomd MCP Server

io.github.hadirizvi093/inktomd-mcp

Convert files, URLs, and documents to clean, AI-ready Markdown via MCP.

Uptime
100.0%
3 direct probes · 30d
Response
2637ms
last probe
Tools
9
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://mcp.inktomd.com/mcp

Tools · 9

convert_url

Convert any URL to clean AI-ready Markdown. Supports webpages, YouTube videos, ArXiv papers, Wikipedia articles, Substack newsletters, RSS feeds, Google Docs, GitHub pages, and more. Returns Markdown …

convert_file

Convert a local file to clean AI-ready Markdown. Supports PDF, Word (.doc/.docx), Excel (.xls/.xlsx), PowerPoint (.ppt/.pptx), EPUB, HTML, CSV, JSON, XML, Jupyter notebooks (.ipynb), Email files (.eml…

convert_youtube

Extract the full transcript from any public YouTube video as clean Markdown. Works with standard watch links (youtube.com/watch?v=) and short links (youtu.be/). The video must have captions enabled — …

convert_arxiv

Convert any ArXiv research paper to clean structured Markdown. Accepts both abstract page URLs (arxiv.org/abs/PAPER_ID) and direct PDF links (arxiv.org/pdf/PAPER_ID). Returns the full paper content wi…

list_supported_formats

List all file formats and URL types that inktomd supports for conversion to Markdown. Use this to check whether a specific file type or URL source is supported before attempting conversion.

count_tokens

Count the exact number of tokens in a text string for a specific AI model. Uses tiktoken for OpenAI models and estimates for others. Args: text: The text to count tokens for …

convert_batch

Convert multiple URLs to Markdown in a single call. Maximum 10 URLs per batch. Each URL is converted independently. Args: urls: List of URLs to convert. Maximum 10. Each mus…

convert_with_metadata

Convert a file or URL to Markdown and return both content and structured metadata. Metadata includes title, estimated token counts for all major models, word count, character count, and r…

prepare_for_rag

Convert a file or URL to Markdown, then split it into optimally-sized chunks ready for insertion into a vector database or RAG pipeline. Returns a JSON array of chunks with token counts, …

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "inktomd_mcp_server": {
      "url": "https://mcp.inktomd.com/mcp",
      "transport": "streamable-http"
    }
  }
}