Integrate AlgoDocs with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet api usage on AlgoDocs
Get usage stats
Get document data on AlgoDocs
Get parsed data
Get document status on AlgoDocs
Check processing status
Get folder details on AlgoDocs
Get folder metadata
Get my account on AlgoDocs
Check account status
List extractor data on AlgoDocs
Bulk extraction results
List extractors on AlgoDocs
List AI extractors
List folders on AlgoDocs
List storage folders
List recent documents on AlgoDocs
List latest parsed docs
Upload document from url on AlgoDocs
Parse document from URL
Security & Code Integrity Audit
Every tool in the AlgoDocs MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What is an 'Extractor' in AlgoDocs?
An Extractor is a set of rules and AI models configured to pull specific fields from a certain type of document (e.g., an Invoice Extractor). You must specify an extractor_id when uploading documents.
Supported Use Cases for AlgoDocs
The AlgoDocs integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
LLM Orchestration for ocr
The AlgoDocs integration exposes LLM-friendly schemas for ocr. Tools like Cursor can map natural language directly into executable artificial intelligence commands.
Cursor Copilot for data extraction
Add data extraction functionality to your custom chatbots. The AlgoDocs MCP handles the payload formatting required for ChatGPT and Claude to interface with artificial intelligence endpoints.
AlgoDocs. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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