Paperless-ngx MCP Server for LangChainGive LangChain instant access to 26 tools to Create Correspondent, Create Document Type, Create Saved View, and more

Name: Paperless-ngx
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Paperless-ngx through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Paperless-ngx MCP Server for LangChain is a standout in the Loved By Devs category — giving your AI agent 26 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "paperless-ngx": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Paperless-ngx, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Paperless-ngx MCP Server

Connect your Paperless-ngx instance to any AI agent and transform your document archive into a searchable, conversational knowledge base.

LangChain's ecosystem of 500+ components combines seamlessly with Paperless-ngx through native MCP adapters. Connect 26 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Document Discovery — Use list_documents with 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 with download_document, or get instant visual context with preview_document and thumb_document.
Metadata Management — Organize your library by creating and updating tags, correspondents, and document types using dedicated tools like create_tag or update_correspondent.
Deep Inspection — Fetch complete OCR text and metadata for any specific file using get_document to 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 LangChain 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 LangChain

When LangChain 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

Create correspondent on Paperless-ngx

Create a new correspondent

create

Create document type on Paperless-ngx

Create a new document type

create

Create saved view on Paperless-ngx

Create a new saved view

create

Create tag on Paperless-ngx

Create a new tag

delete

Delete correspondent on Paperless-ngx

Delete a correspondent

delete

Delete document on Paperless-ngx

Delete a document

delete

Delete document type on Paperless-ngx

Delete a document type

delete

Delete saved view on Paperless-ngx

Delete a saved view

delete

Delete tag on Paperless-ngx

Delete a tag

download

Download document on Paperless-ngx

Download the actual document file

get

Get correspondent on Paperless-ngx

Retrieve correspondent details

get

Get document on Paperless-ngx

Retrieve details of a specific document

get

Get document type on Paperless-ngx

Retrieve document type details

get

Get tag on Paperless-ngx

Retrieve tag details

list

List correspondents on Paperless-ngx

List all correspondents

list

List document types on Paperless-ngx

List all document types

list

List documents on Paperless-ngx

Supports filtering and searching via query parameters. List all documents in Paperless-ngx

list

List saved views on Paperless-ngx

List all saved views

list

List tags on Paperless-ngx

List all tags

preview

Preview document on Paperless-ngx

Get a preview of the document

thumb

Thumb document on Paperless-ngx

Get the document thumbnail

update

Update correspondent on Paperless-ngx

Update a correspondent

update

Update document on Paperless-ngx

Update document metadata

update

Update document type on Paperless-ngx

Update a document type

update

Update tag on Paperless-ngx

Update a tag

upload

Upload document on Paperless-ngx

Upload a new document

Connect Paperless-ngx to LangChain via MCP

Follow these steps to wire Paperless-ngx into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 26 tools from Paperless-ngx via MCP

Why Use LangChain with the Paperless-ngx MCP Server

LangChain provides unique advantages when paired with Paperless-ngx through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Paperless-ngx MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Paperless-ngx queries for multi-turn workflows

Paperless-ngx + LangChain Use Cases

Practical scenarios where LangChain combined with the Paperless-ngx MCP Server delivers measurable value.

RAG with live data: combine Paperless-ngx tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Paperless-ngx, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Paperless-ngx tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Paperless-ngx tool call, measure latency, and optimize your agent's performance

Example Prompts for Paperless-ngx in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Paperless-ngx to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Paperless-ngx + LangChain FAQ

Common questions about integrating Paperless-ngx MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.