Un

UndatasIO's document parser MCP server is online

Hacker News

UndatasIO's document parser MCP server is online

Hey HN, Alex here, founder of undatas.io. Since we launched our core document parsing API, we've had fantastic feedback from developers who love the precision and the "pay-on-accept" model. But as we watched people build more complex systems, we noticed a common pattern: everyone was writing the same boilerplate code to manage their workflows. Developers were building their own logic to handle workspaces, manage batches of files within tasks, poll for results, and handle state. Our raw API is powerful for single transactions, but it left the orchestration part up to you. To solve this, we've built and are now launching our MCP (Multi-Channel Platform) server. Think of it as a stateful, command-based orchestration layer that sits on top of our core parsing API. Instead of you having to write code to manage IDs and track the status of multi-file jobs, the MCP server handles it for you through a simple, logical interface. The workflow is structured around a clear hierarchy: Workspace -> Task -> File. You can use straightforward commands like: - UnDatasIO_get_workspaces to get your work_id. - UnDatasIO_upload to add files to a specific task_id. - UnDatasIO_parse to kick off parsing for a list of file_ids. - UnDatasIO_get_parse_result to poll for the job status without building your own loop. This is perfect for anyone building complex, multi-file data processing pipelines, integrating with low-code platforms, or who simply wants to manage large batch jobs without the hassle of writing and maintaining state-management code. Our goal is to let you focus on what to do with the data, not the plumbing required to get it. We believe this will make building robust document workflows much faster and more reliable. We're just getting started and are eager for your feedback. We've put together a comprehensive guide and a video tutorial to walk you through it. MCP User Guide (Full API Reference): https://docs.undatas.io/mcp/undatas-mcp/ Video Tutorial on YouTube: https://www.youtube.com/watch?v=_xobbKiPyf4 Our Official Website: https://undatas.io/ I'll be here all day to answer any questions. Let us know what you think

Share card

Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model, mcp, user · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, pipe, io · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, interface · Missing: plus, intuitive, reviews
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Mo
MongoDB MCP Server49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MongoDB MCP Server

Hacker News3
Im
Imagegen MCP Server35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Imagegen MCP Server

Hacker News1
Th
The KurrentDB MCP Server35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The KurrentDB MCP Server

Hacker News3
Ap
Apache Kafka MCP Server38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Apache Kafka MCP Server

Hacker News1
I
I forked usql into a MCP server35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I forked usql into a MCP server

Hacker News1
Co
CoreMCP – MCP Server for On-Prem DBs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CoreMCP – MCP Server for On-Prem DBs

Hacker News1
We
We built an MCP server for document generation41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We built an MCP server for document generation

Hacker News3
On
Online parser for arbitrary CRDs with sample YAML36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Online parser for arbitrary CRDs with sample YAML

Hacker News3
Sh
Shinkuro – Prompt synchronization MCP server27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shinkuro – Prompt synchronization MCP server

Hacker News2
An
Analytics for Your MCP Server30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Analytics for Your MCP Server

Hacker News2