Does this tool parse the document directly or use the cloud engine?

The tool offloads the logic specifically via endpoints mapping back to the Parseur Cloud Engine. The AI acts to organize mailboxes, list templates, and fetch final states securely without computing massive local OCR networks.

Can I upload a raw file string to be parsed?

Yes. Utilizing the explicitly mapped `upload_document` constraint, the agent can inject raw string boundaries identifying formatting, passing files straightforward into the target mailbox ID natively.

Will I see missing required fields if extraction fails?

Absolutely. Querying `get_document_details` lists specific status bounds. If a template expects InvoiceTotal and misses it, the document flags a processing boundary issue precisely traceable here.

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

Name: Parseur
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 Parseur 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

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

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

asyncio.run(main())

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* 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 Parseur MCP Server

Bring Parseur Document Extraction arrays directly into your AI workflows. By explicitly mapping into powerful OCR and templating engines, your agent can push unstructured PDFs or bulk emails into remote routing limits, parsing exact text fields securely. Extract fields, examine documents, list defined parse-templates, and retry pipelines without manual intervention.

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

What you can do

Mailboxes & Templates — Examine specifically bound mailboxes tracking which explicit templates dictate data extraction limits mapped natively
Document Navigation — Extract properties showing precisely which unstructured strings were identified inside uploaded payloads checking status: parsed correctly
Payload Uploading — Instruct the node limits mapping upload_document generating raw payloads routing straight into the engine for OCR logic
Job Management — Discover disconnected states mitigating failed validations by pushing retry_document instantly forcing physical pipeline resets

The Parseur 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 Parseur to OpenAI Agents SDK via MCP

Follow these steps to integrate the Parseur 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 Parseur

Why Use OpenAI Agents SDK with the Parseur MCP Server

OpenAI Agents SDK provides unique advantages when paired with Parseur 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

Parseur + OpenAI Agents SDK Use Cases

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

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

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

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

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

Parseur MCP Tools for OpenAI Agents SDK (10)

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

create_mailbox

The type determines the parsing engine (e.g., "pdf", "email", "attachment"). Once created, you can configure templates and forward documents to the mailbox for automatic extraction. Create a new Parseur mailbox for document parsing

create_template

Pass the template name and a JSON config string defining field mappings. Parseur will use this template to extract structured data from matching documents. Create a new extraction template for a Parseur mailbox

get_document_data

Fields depend on the template configuration (e.g., invoice_number, total_amount, line_items). Only works for documents with status "processed". Retrieve the fully extracted JSON data from a parsed document

get_document_details

Does not include the parsed data itself — use get_document_data for that. Get metadata of a single parsed document

get_mailbox

Use this to verify mailbox setup before sending documents. Get detailed configuration of a specific Parseur mailbox

list_documents

Each entry includes document ID, status (processed, failed, pending), and metadata like sender and received date. List all parsed documents inside a Parseur mailbox

list_mailboxes

Each mailbox represents a parsing pipeline for a specific document type (invoices, receipts, emails). Use the returned mailbox IDs for subsequent operations like listing documents or uploading files. List all Parseur parsing mailboxes

list_templates

Templates define the extraction rules (field names, locations, regex patterns) used to pull structured data from incoming documents. List available extraction templates for a Parseur mailbox

retry_document

Useful after fixing template rules or when the original parse failed due to a transient error. The document will be matched against the latest template rules. Retry parsing a failed or errored Parseur document

upload_document

eml) to the specified mailbox for automatic parsing. The document enters the processing queue and will be parsed according to the mailbox template. Returns the new document ID for tracking. Upload a document URL to a Parseur mailbox for parsing

Example Prompts for Parseur in OpenAI Agents SDK

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

"Check my Parseur mailboxes to find the specific bounding IDs."

"Get the data schema parsed tightly inside document doc_987."

"Upload this snippet of parsed text directly into Mailbox xyz12 for OCR processing."

Troubleshooting Parseur MCP Server with OpenAI Agents SDK

Common issues when connecting Parseur 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.

Parseur + OpenAI Agents SDK FAQ

Common questions about integrating Parseur 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.