Docparser MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Docparser through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Docparser Assistant",
instructions=(
"You help users interact with Docparser. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Docparser"
)
print(result.final_output)
asyncio.run(main())
* 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 Docparser MCP Server
Integrate Docparser, the leading document data extraction platform, directly into your AI workflow. Automate the extraction of structured data from PDFs, scanned documents, and images, monitor your parser configurations, and retrieve parsed results using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Docparser through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Docparser, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Parser Oversight — List and retrieve detailed settings and status for all your document parsers and extraction rules.
- Data Intelligence — Access the actual structured data extracted from your documents, including table data and custom fields.
- Document Tracking — Monitor the processing status of your uploaded documents and identify any extraction failures.
- Result Auditing — Retrieve a chronological feed of recent extraction results across all your active parsers.
The Docparser 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 Docparser to OpenAI Agents SDK via MCP
Follow these steps to integrate the Docparser 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 Docparser
Why Use OpenAI Agents SDK with the Docparser MCP Server
OpenAI Agents SDK provides unique advantages when paired with Docparser 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
Docparser + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Docparser MCP Server delivers measurable value.
Automated workflows: build agents that query Docparser, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Docparser, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Docparser tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Docparser to resolve tickets, look up records, and update statuses without human intervention
Docparser MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Docparser to OpenAI Agents SDK via MCP:
get_docparser_account_metadata
Retrieve metadata and usage limits for your Docparser account
get_document_extraction_results
Get the actual data extracted from a specific document
get_parser_details
Get detailed settings and status for a specific document parser
list_document_parsers
List all document parsers configured in your Docparser account
list_documents_awaiting_parsing
List documents that are currently in the parsing queue
list_failed_document_extractions
Identify documents that failed the parsing or extraction process (mock logic)
list_parsed_documents
List all documents processed by a specific parser
list_recent_extractions
List the most recent document extraction results across all parsers
quick_parser_health_audit
Retrieve a high-level summary of parser activity and success rates
search_parsed_documents
Search for parsed documents by filename within a parser
Example Prompts for Docparser in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Docparser immediately.
"List all documents processed by the 'Invoices' parser."
"Show me the extracted data for document 'DOC-9988' in the 'Orders' parser."
"Are there any document extractions that failed today?"
Troubleshooting Docparser MCP Server with OpenAI Agents SDK
Common issues when connecting Docparser to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Docparser + OpenAI Agents SDK FAQ
Common questions about integrating Docparser MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Docparser with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Docparser to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.