Nano nets MCP integration
Reports extracted field values and confidence scores, tracks workflow documents, and creates, trains and tunes OCR models.
11actions available
Three actions you can hand over today
Every action runs live through MCP. Nothing to build, nothing to maintain.
Get all prediction files
Lyro retrieves OCR extraction results stored in Nanonets to verify what text was successfully captured. Your team sees the parsed output and can confirm data accuracy or reprocess if needed.
Get ocr model details
Lyro pulls OCR model details including accuracy metrics and configuration. Support can verify the model is tuned correctly or recommend retraining if results degrade.
List workflow documents
Lyro lists documents processed by a workflow to track batch completions. Support verifies all expected files were parsed or identifies which ones failed.
How businesses use Nano nets + Lyro
Each card is one request a support team gets, and the Nano nets actions Lyro runs to close it.
Read back what a model extracted from a document
Lyro lists the prediction files for an OCR model and reports the extracted text, field values, confidence scores and bounding boxes, so a question about a processed invoice is answered from the result.
Get All Prediction FilesGet All ModelsGet OCR Model DetailsTrack documents moving through a workflow
Lyro inventories the workflows configured on the account and pages through their documents with processing status, verification status, upload time and page details, so a stuck batch is visible.
Get WorkflowsList Workflow DocumentsGet All Prediction FilesStand up a new model for a document type
Lyro creates an OCR or image classification model with the categories it should learn, then sets the AI guidelines that govern how its field and table predictions are handled.
Create ModelGet All ModelsUpdate Model AI GuidelinesFeed a model more training material
Lyro uploads training images to a model from a local PNG, JPEG or PDF or from a list of URLs, and pages back through the samples the model already holds before adding more.
Upload Training Images by FileUpload Training Images by URLGet OCR Training Images
How it works
Get started in 3 steps
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Lyro reads the Nano nets actions it has and picks the ones a request needs.
Connect Nano nets
Authorize the Nano nets account your team already uses — one consent screen, no API keys, no mapping tables. Lyro can only do what you granted that account, and you can disconnect it at any time.
Tell your agent what you need
Describe the job the way you would hand it to a teammate. Lyro maps it to the Nano nets actions that close it and chains as many as the request needs.
Watch it work
The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.
Get started free
Nano nets · Lyro
What can you do in Nano nets without me setting anything up?
These, right away:
- Create model
- Get all models
- Delete ocr model
Great, let's start with the first one.
FAQ
Everything else about Nano nets
Setup, permissions, and the limits of what Lyro can do inside Nano nets.
No. This toolkit covers model setup, training image upload and reading results; there is no predict action that submits a fresh document. Files reach a model through your existing Nanonets upload or workflow, and Lyro reads the outcome with Get All Prediction Files and List Workflow Documents.
Every action available in Nano nets
All 11 actions your agent can call on Nano nets, straight from the live MCP connection.
Create model
Create a new image classification or OCR model.
Delete ocr model
Permanently deletes an OCR model from Nanonets.
Get all models
Retrieves all models (OCR and Image Classification) in the user's NanoNets account.
Get all prediction files
Retrieve all prediction files (OCR results) for a NanoNets model.
Get ocr model details
Retrieve details of an OCR model.
Get ocr training images
Retrieve training images for an OCR model.
Get workflows
Retrieve a list of all workflows in your Nanonets account.
List workflow documents
Retrieve a paginated list of documents processed by a NanoNets workflow.
Update model AI guidelines
Update AI Agent guidelines for an OCR model.
Upload training images by file
Upload a training image file to a specified OCR model.
Upload training images by URL
Upload training images by URL to a specified OCR model.
The tools Nano nets sits next to
Same connection, same setup. Pick the next one your team already uses.
Cloudconvert
Checks which conversions and engine options exist, exports finished files to S3 or Google Cloud Storage, tracks task status, and manages job webhooks.
Docsumo
Searches the document library, runs MCA analysis over processed bank statements, and keeps Docsumo folders and database tables organised.
Egnyte
Connects Egnyte accounts, looks up stored data, and triggers workflow updates.
Kontent.ai
Retrieves content items and their language variants from a Kontent.ai environment and reads the content model down to a single element.
Pdfless
Lists the templates a workspace holds with the IDs a render needs, and confirms the workspace behind the API key is active.
Waiverfile
Reads a waiver site's required fields, age restrictions, and email settings from the live account, and confirms the event service is still responding.
Ready to connect Nano nets?
Authorize the account and your agent has all 11 actions from the first conversation.