How do I find my AlgoDocs API Key?

Log in to AlgoDocs, go to your **Account Settings**, and you will find your API key there. You will need this along with your registered email for authentication.

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.

Can I retrieve data from a previously processed document?

Yes! Use the `get_document_data` tool and provide the unique `document_id`. Your agent will retrieve the extracted structured data from AlgoDocs storage.

AlgoDocs MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: AlgoDocs
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AlgoDocs through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="AlgoDocs Assistant",
            instructions=(
                "You help users interact with AlgoDocs. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from AlgoDocs"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About AlgoDocs MCP Server

Connect your AlgoDocs account to your AI agent to unlock professional automated document extraction. From automatically parsing invoices, receipts, and complex tables to auditing extraction models (extractors) and managing folder hierarchies, your agent handles your data ingestion pipeline through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from AlgoDocs through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AlgoDocs, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Document Ingestion — Upload and parse documents from public URLs or Base64 strings for high-accuracy JSON extraction
Extractor Oversight — List and retrieve details for your AI extractors to ensure the correct rulesets are applied to your docs
Data Auditing — Retrieve structured JSON results for individual documents or list extracted data in bulk for entire extractors
Folder Management — List and audit your folder hierarchy to organize your document processing projects
Usage Monitoring — Quickly retrieve account details and API usage statistics directly from your chat interface

The AlgoDocs MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect AlgoDocs to OpenAI Agents SDK via MCP

Follow these steps to integrate the AlgoDocs MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from AlgoDocs

Why Use OpenAI Agents SDK with the AlgoDocs MCP Server

OpenAI Agents SDK provides unique advantages when paired with AlgoDocs through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

AlgoDocs + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the AlgoDocs MCP Server delivers measurable value.

Automated workflows: build agents that query AlgoDocs, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries AlgoDocs, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through AlgoDocs tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query AlgoDocs to resolve tickets, look up records, and update statuses without human intervention

AlgoDocs MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect AlgoDocs to OpenAI Agents SDK via MCP:

get_api_usage

Get usage stats

get_document_data

Get parsed data

get_document_status

Check processing status

get_folder_details

Get folder metadata

get_my_account

Check account status

list_extractor_data

Bulk extraction results

list_extractors

List AI extractors

list_folders

List storage folders

list_recent_documents

List latest parsed docs

upload_document_from_url

Parse document from URL

Example Prompts for AlgoDocs in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AlgoDocs immediately.

"List all extractors in my AlgoDocs account."

"Parse this invoice URL: https://example.com/inv.pdf using extractor ID 'ext_123'."

"Show the extracted data for document ID 'doc_98765'."

Troubleshooting AlgoDocs MCP Server with OpenAI Agents SDK

Common issues when connecting AlgoDocs to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

AlgoDocs + OpenAI Agents SDK FAQ

Common questions about integrating AlgoDocs MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.