Nanonets MCP server

Connect Nanonets to Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini, GitHub Copilot and any other MCP client, for your whole team. Metorial adds security, governance, and tracing, and gives everyone one Magic MCP URL to connect.

What you can do with the Nanonets MCP server

Ask your agent in plain language. Each of these maps to a real tool on the server.

  • Use the create model tool in Nanonets
  • Use the list processed files tool in Nanonets
  • Use the extract document data tool in Nanonets
  • Use the upload training data tool in Nanonets
  • Use the get prediction results tool in Nanonets
  • Use the review file tool in Nanonets

Supported Tools

create_model

Create Model

Create a new AI model in Nanonets. Supports OCR document extraction, image classification, and object detection model types. Define the categories or fields you want the model to recognize.

list_processed_files

List Processed Files

List all files that have been processed by a Nanonets model within a date range. Returns both moderated (reviewed) and unmoderated files with their extraction results and review status.

extract_document_data

Extract Document Data

Upload a document to a Nanonets OCR model and extract structured data. Supports processing documents via URL. Returns extracted fields, tables, bounding boxes, and confidence scores. Use synchronous mode for small documents (≤3 pages) and async mode for larger files.

upload_training_data

Upload Training Data

Upload training images via URL to a Nanonets model. Supports OCR, image classification, and object detection models. For classification models, images must be associated with a category. For OCR and object detection, annotations with bounding boxes can be provided.

get_prediction_results

Get Prediction Results

Retrieve extraction/prediction results for a previously processed document. Use this to check the status of async predictions or to retrieve detailed results by file ID or page ID.

review_file

Review File

Approve or unapprove a processed file in a Nanonets model. Approval marks the file's extracted data as verified. Unapproval reverts an approved file back to the unreviewed state.

retry_file_processing

Retry File Processing

Retry predictions or exports for previously processed files. Use this when files failed to process correctly or when exports need to be re-triggered.

get_model

Get Model

Retrieve details about a Nanonets model including its current state, configured categories, and training status. Works for OCR, image classification, and object detection models.

extract_full_text

Extract Full Text

Extract the complete raw text from documents or images using Nanonets OCR. Unlike structured extraction, this returns all text found in the document without field mapping. Useful for getting the raw content of PDFs, scanned documents, and images.

detect_objects

Detect Objects

Detect and locate objects within images using a trained Nanonets object detection model. Returns bounding box coordinates and confidence scores for each detected object.

classify_image

Classify Image

Classify images into predefined categories using a trained Nanonets image classification model. Provide one or more image URLs and receive category labels with probability scores.

train_model

Train Model

Initiate training for a Nanonets model. Supports OCR, image classification, and object detection models. Training data must be uploaded before training can start.

Connect Nanonets to your AI client

Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.

  1. Enable Nanonets in Metorial. In your Metorial portal, enable the Nanonets MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
  2. Add a custom connector. Open Customize, then Connectors. Select Add, then Custom, then Web.
  3. Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>) and continue.
  4. Sign in. Select Add and sign in to load Nanonets tools.

Run Nanonets through the Metorial gateway

One governed layer for every app your agents reach, not a separate connector per tool.

  • Give Nanonets and every other app to your whole team through one MCP gateway, behind your SSO.
  • Scope which teams and agents can use Nanonets tools with role-based access control, and trace every call.
  • Prefer to run it yourself? Metorial is open source and self-hostable.

More integrations teams use with Nanonets

Notion

Create, read, update, and archive pages and databases in a Notion workspace. Manage blocks (paragraphs, lists, headings, embeds, etc.) within pages. Query databases with filters and sorts across rich property types including text, numbers, dates, selects, relations, and formulas. Search across pages and databases by title. Add and read comments on pages and blocks. Upload files to pages. Manage workspace users and retrieve user profiles.

Google Sheets

Create, read, and update spreadsheets and their cell data. Read and write values to individual cells, ranges, or multiple ranges using A1 notation or named ranges. Apply cell formatting including text styles, backgrounds, borders, number formats, and conditional formatting. Manage sheets (tabs) within a spreadsheet—add, delete, copy, rename, and reorder them. Create and manage embedded charts, pivot tables, filter views, data validation rules, protected ranges, named ranges, and merged cells. Perform batch operations to apply multiple updates atomically.

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

Salesforce

Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Resolve site users to numeric Person/Group LookupId values. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Retrieve site properties and search for sites across Microsoft 365.

Microsoft Outlook

Send, read, reply to, forward, and manage email messages in user mailboxes. Organize messages into folders, apply categories, flags, and importance levels. Manage file and item attachments. Create, update, delete, and respond to calendar events and meetings. Find available meeting times, manage attendees, handle recurrence, and work with shared or delegated calendars. Create, read, update, and delete contacts, organize them into contact folders, and manage contact photos. Manage tasks and task lists via Microsoft To Do, including due dates, reminders, recurrence, and checklist items. Support for Focused Inbox, @-mentions, mail tips, send-on-behalf, and send-as capabilities.

Technical notes for Nanonets

Extract structured data from unstructured documents using AI-powered OCR and deep learning. Create and manage document processing workflows to extract fields and tables from invoices, receipts, forms, purchase orders, bank statements, and other document types. Upload documents as files or URLs for synchronous or asynchronous processing, receiving extracted data with confidence scores and bounding boxes. Train custom image classification and object detection models with labeled data. Manage human-in-the-loop review processes including approving, rejecting, and moderating extracted predictions. Apply post-processing transformations such as date formatting, currency detection, regex matching, lookup enrichment, and custom Python scripts. Import documents from email, Dropbox, Google Drive, OneDrive, and SharePoint. Export processed data to Google Sheets, QuickBooks, Xero, Salesforce, databases (PostgreSQL, MySQL, MSSQL), and other platforms. Receive webhook notifications on document processing, approval, rejection, and assignment events.

Frequently asked questions

Common questions about connecting Nanonets to AI agents with Metorial.

  1. How many tools does the Nanonets MCP server have?
    The Nanonets MCP server exposes 12 tools, including Create Model, List Processed Files, Extract Document Data. Each one is governed and traced through Metorial.
  2. Nanonets exposes tools your agents call on demand; it does not publish event triggers yet. Everything still runs through one governed MCP URL.
  3. Any MCP client, including VS Code, Windsurf, Zed, OpenCode and Grok. Each one reaches the Nanonets MCP server through the same Metorial URL.
  4. Use role-based access control to decide which teams, users, and agents can use Nanonets and which of its tools they can call.
  5. Yes. Metorial is open source, so you can run the Nanonets MCP server yourself or use the hosted gateway.

Connect Nanonets to production AI agents

See how Metorial gives your team governed access to Nanonets, with tracing and security controls built in.