Paperless-ngx MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 26 tools to Create Correspondent, Create Document Type, Create Saved View, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Paperless-ngx 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 for OpenAI Agents SDK
The Paperless-ngx MCP Server for OpenAI Agents SDK is a standout in the Loved By Devs category — giving your AI agent 26 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Paperless-ngx Assistant",
instructions=(
"You help users interact with Paperless-ngx. "
"You have access to 26 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Paperless-ngx"
)
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 Paperless-ngx MCP Server
Connect your Paperless-ngx instance to any AI agent and transform your document archive into a searchable, conversational knowledge base.
The OpenAI Agents SDK auto-discovers all 26 tools from Paperless-ngx through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Paperless-ngx, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Document Discovery — Use
list_documentswith full-text search or filter by tags and dates to find exactly what you need in seconds. - File Operations — Upload new documents with
upload_document, download originals withdownload_document, or get instant visual context withpreview_documentandthumb_document. - Metadata Management — Organize your library by creating and updating tags, correspondents, and document types using dedicated tools like
create_tagorupdate_correspondent. - Deep Inspection — Fetch complete OCR text and metadata for any specific file using
get_documentto help your AI analyze contents. - Saved Views — Access your predefined filters and organizational structures with
list_saved_views.
The Paperless-ngx MCP Server exposes 26 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 26 Paperless-ngx tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Paperless-ngx through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-archive, ocr, full-text-search, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create correspondent on Paperless-ngx
Create a new correspondent
Create document type on Paperless-ngx
Create a new document type
Create saved view on Paperless-ngx
Create a new saved view
Create tag on Paperless-ngx
Create a new tag
Delete correspondent on Paperless-ngx
Delete a correspondent
Delete document on Paperless-ngx
Delete a document
Delete document type on Paperless-ngx
Delete a document type
Delete saved view on Paperless-ngx
Delete a saved view
Delete tag on Paperless-ngx
Delete a tag
Download document on Paperless-ngx
Download the actual document file
Get correspondent on Paperless-ngx
Retrieve correspondent details
Get document on Paperless-ngx
Retrieve details of a specific document
Get document type on Paperless-ngx
Retrieve document type details
Get tag on Paperless-ngx
Retrieve tag details
List correspondents on Paperless-ngx
List all correspondents
List document types on Paperless-ngx
List all document types
List documents on Paperless-ngx
Supports filtering and searching via query parameters. List all documents in Paperless-ngx
List saved views on Paperless-ngx
List all saved views
List tags on Paperless-ngx
List all tags
Preview document on Paperless-ngx
Get a preview of the document
Thumb document on Paperless-ngx
Get the document thumbnail
Update correspondent on Paperless-ngx
Update a correspondent
Update document on Paperless-ngx
Update document metadata
Update document type on Paperless-ngx
Update a document type
Update tag on Paperless-ngx
Update a tag
Upload document on Paperless-ngx
Upload a new document
Connect Paperless-ngx to OpenAI Agents SDK via MCP
Follow these steps to wire Paperless-ngx into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Paperless-ngx MCP Server
OpenAI Agents SDK provides unique advantages when paired with Paperless-ngx 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
Paperless-ngx + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Paperless-ngx MCP Server delivers measurable value.
Automated workflows: build agents that query Paperless-ngx, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Paperless-ngx, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Paperless-ngx tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Paperless-ngx to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Paperless-ngx in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Paperless-ngx immediately.
"Search for all documents related to 'Electricity Bill' from 2023."
"Upload a new document titled 'Contract 2024' with tag ID 12."
"Get the full content and a preview of document ID 42."
Troubleshooting Paperless-ngx MCP Server with OpenAI Agents SDK
Common issues when connecting Paperless-ngx to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Paperless-ngx + OpenAI Agents SDK FAQ
Common questions about integrating Paperless-ngx 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?
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