inktomd MCP Server
Convert files, URLs, and documents to clean, AI-ready Markdown via MCP.
| Endpoint | https://mcp.inktomd.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 9 tools · grade C (75) · pin ts_7b81f4268cf685f5df03be94a7cfed57 · protocol 2025-06-18 |
| First / last listed | 2026-10-27 07:26 UTC / 2026-10-27 07:26 UTC |
| Grade over time | 2026-10-27: C (75), 9 tools |
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Tools: convert_url convert_file convert_youtube convert_arxiv list_supported_formats count_tokens convert_batch convert_with_metadata prepare_for_rag
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. params: url* |
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 size: 20MB. params: file_path* |
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 caption fragments. params: url* |
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 for AI analysis. params: url* |
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. params: none |
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, gemini-flash,
llama-4, deepseek-v3, mist params: text*, model |
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
params: urls* |
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" or "file". Default: "url"
Returns:
Markdown params: source*, source_type |
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 (starting with http/https) or absolute file path
source_type: Eith params: source*, source_type, chunk_size, overlap |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.