MCP serverio.github.hadirizvi093/inktomd-mcp
Convert files, URLs, and documents to clean, AI-ready Markdown via MCP.
Overview
Score?
UNRATED 0.672
of what a free look can see, on 30 looks
Looks
36
last 1 hr ago
Tools
9
More info
URL
mcp.inktomd.com/mcp
streamable-http
Says it is
inktomd 1.28.1
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.672 · highest on record 0.8561
Toolsfrom sha256:8380579926…c0eb23
| Tool | Schema |
|---|---|
| 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 f |
input · output |
| 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. |
input · output |
| 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 |
input · output |
| 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 mor |
input · output |
| 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,
ch |
input · output |
| 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 |
input · output |
| 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 |
input · output |
| 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 co |
input · output |
| 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 |
input · output |
Verify it yourself
npx teppi-check https://mcp.inktomd.com/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2FM9PYJM3RTBAZWVK7WA