algo-docs

name

algo-docs

description

Algodocs is an AI-powered intelligent document processing platform that extracts and structures data from PDFs, images, and handwritten documents, enabling businesses to automate data entry, streamline workflows, and integrate extracted data with downstream systems like ERP and CRM. Read and write AlgoDocs data through One: documents, extracteddata, unrecognizedclassifieddocuments, currentuserprofile, extractors, folders and more, 9 actions with real parameter documentation. Use whenever the user asks to look something up in AlgoDocs, create or update a record there, or build code against the AlgoDocs API.

AlgoDocs through One

Algodocs is an AI-powered intelligent document processing platform that extracts and structures data from PDFs, images, and handwritten documents, enabling businesses to automate data entry, streamline workflows, and integrate extracted data with downstream systems like ERP and CRM.

One exposes AlgoDocs through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.

How to run an action

1. Find the action in the table below, or call search_one_platform_actions with platform algo-docs if it is not listed.
2. Call get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
3. Call execute_one_action with parameters copied from that knowledge.

Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.

Before you start

Call list_one_integrations once and confirm AlgoDocs is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.

Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.

Before a write

Creates, updates, deletes and sends land on a real AlgoDocs account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.

Actions

Documents

Action	Method	Path	Action id
Upload a Base64-Encoded Document to an Extractor Folder	POST	/v1/document/upload_base64/{{extractorId}}/{{folderId}}	conn_mod_def::GKjsGhIdcYg::y0gniFdaR7qilfIRJyz-0w
Upload a Document to an Extractor Folder from a Public URL	POST	/v1/document/upload_url/{{extractorId}}/{{folderId}}	conn_mod_def::GKjsGmxNNkg::GsO2biL8TWCyH30cFSUM9g
Upload a Local File to a Folder for an Extractor	POST	/v1/document/upload_local/{{extractorId}}/{{folderId}}	conn_mod_def::GKjsGipd2Rg::V4WoeIKcQaqQGhhLkBlK-Q

ExtractedData

Action	Method	Path	Action id
Get Extracted Data for a Document	GET	/v1/extracted_data/{{documentId}}	conn_mod_def::GKjsGUjXgOg::7llyi4b2SHKMu1oTksWd9w
List Extracted Data for an Extractor	GET	/v1/extracted_data/{{extractorId}}	conn_mod_def::GKjsGWApUlg::dIXwP5PWTdq-vU4pizEEHQ

UnrecognizedClassifiedDocuments

Action	Method	Path	Action id
List Unrecognized Classified Documents	GET	``	conn_mod_def::GKjsGUQTfLA::nizj44RnSeuA2-j0qel-nQ

CurrentUserProfile

Action	Method	Path	Action id
Get Current User Profile	GET	/v1/me	conn_mod_def::GKjsGVjzyVA::ufcL3PeYQz2dc-xWJSPMSg

Extractors

Action	Method	Path	Action id
List Extractors	GET	/v1/extractors	conn_mod_def::GKjsGWpIGKA::GihGPRqLTT61gVKpbZqClA

Folders

Action	Method	Path	Action id
List Folders	GET	/folders	conn_mod_def::GKjsGiphuUg::0dCIFNt5SoOH_nzDeSeIRQ

When a call fails

The error comes from AlgoDocs, not from One. A 400 or 422 means your parameters do not match the schema, so re-read the knowledge and fix the field. A 401 or 403 means the connection needs re-authorizing, which no retry will fix. A 404 means the id is not on this account. A 429 means slow down. Never retry a write more than once: the first attempt may have landed.

Full catalog: https://www.withone.ai/knowledge/algo-docs

Integration knowledge by One (withone.ai), licensed under One-Knowledge-1.0. Attribution must be preserved in derivative works.