# inktomd MCP Server

- Registry name: `io.github.hadirizvi093/inktomd-mcp` · version 1.0.0
- Categories (automatic, keyword rules): Utilities, Research & knowledge, Search & data, Documents & retrieval
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): experimental, prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.hadirizvi093%2Finktomd-mcp
- Server page: https://mcpstation.net/s/io.github.hadirizvi093--inktomd-mcp.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://mcp.inktomd.com/mcp`

## Tools (as reported by the server, not verified)

- `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 with up to 63% fewer tokens than the raw source HTML.
- `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 \(.eml/.msg\), ZIP archives \(.zip\), and 7-Zip archives \(.7z\). Provide the absolute file path. Maximum file
- `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 — including auto-generated captions. Returns the transcript as flowing Markdown paragraphs, not raw ca
- `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 with headings, sections, and content preserved — uses significantly fewer tokens than the PDF format f
- `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 model: The AI model to count tokens for. Options: gpt-4o, gpt-4o-mini, gpt-4.1, claude-sonnet, claude-haiku, gemini-pro, gemin
- `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 must start with http:// or https:// Returns: All converted Markdown documents combined, clearly separated with headers
- `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 reading time. Args: source: Either a URL \(starting with http/https\) or absolute file path source\_type: Either "url
- `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, making this the single tool needed to go from raw document to RAG-ready data. Args: source: Either a URL \(startin

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html