MCP.Market

PDF to Markdown & Document Parser MCP server

online · 100% uptime
by fernandoguiraud16-coder·io.github.fernandoguiraud16-coder/document-to-markdown-tables·v1.0.0
No reviews yet

Convert PDF, Word, Excel and scanned documents to Markdown, tables and RAG chunks. OCR.

A93/100grade A
Write a reviewRun it
What users say
No reviews yet
Be the first
Safety scan
A93/100

full report

Adoption
Growing

0 stars

Reviews

Write one

Nobody has reviewed PDF to Markdown & Document Parser yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

PDF to Markdown & Document Parser tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-10-14 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 43ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 1 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 93/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How PDF to Markdown & Document Parser compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
93/100
higher than 96% of 4,464 AI and agents servers
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
53 ms
faster than 92% of 2,333 AI and agents servers

Install PDF to Markdown & Document Parser in Claude Code, Cursor or VS Code

claude mcp add --transport http document-to-markdown-tables https://mcp.apify.com/?tools=fguiraud/document-to-markdown-tables
Add to Cursor

What the publisher says

From the PDF to Markdown & Document Parser repository's README, as published. We do not edit it. Read it on GitHub

Data Tools: clean web data for developers and AI agents

Ready-to-run Python examples for pay-per-use Apify Actors that turn search trends, news, competitor ads, documents, websites, YouTube, TikTok and Instagram videos and audio into clean JSON, Markdown, CSV and Excel.

🌐 Website: https://fernandoguiraud16-coder.github.io/data-tools/

Each example is a single short script plus a sample-output.json from a real cloud run, so you can see exactly what you get before running anything.

Examples

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

PDF to Markdown & Document Parser: common questions

Is PDF to Markdown & Document Parser MCP server safe?
Yes, by our scan: it is graded A (93/100). Read the PDF to Markdown & Document Parser safety report
How do I install PDF to Markdown & Document Parser?
It runs remotely at mcp.apify.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does PDF to Markdown & Document Parser need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is PDF to Markdown & Document Parser maintained?
The last commit was 20 days ago (2026-10-13). The latest release is v1.0.0.
Is PDF to Markdown & Document Parser up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of PDF to Markdown & Document Parser?
Servers from other publishers that do the same job: PDF MCP server, DataSinking MCP server and Basic Memory MCP server.
How does PDF to Markdown & Document Parser compare with other AI and agents MCP servers?
safety score 93/100 (higher than 96% of 4,464 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 53 ms (faster than 92% of 2,333 AI and agents servers). Full comparison.

Alternatives to PDF to Markdown & Document Parser

Same job from other publishers: the closest match first, then the best rated.

  • PDF
    Agentic RAG over one PDF or a whole folder: hybrid search, selective page reads, tables, OCR.
    A
  • DataSinking
    Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.
    A
  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Local Rag
    Easy-to-setup local RAG server with minimal configuration
    A

More from fernandoguiraud16-coder →