Stirling PDF MCP Server for LangChainGive LangChain instant access to 11 tools to Add Watermark, Cert Sign, Get All Requests, and more

Name: Stirling PDF
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The Stirling PDF MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 11 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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({
        "stirling-pdf": {
            "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 Stirling PDF, 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 Stirling PDF MCP Server

Connect your Stirling PDF instance to any AI agent and take full control of your document workflows through natural conversation. This server allows you to process PDF files, convert formats, and monitor your self-hosted infrastructure.

LangChain's ecosystem of 500+ components combines seamlessly with Stirling PDF through native MCP adapters. Connect 11 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 Manipulation — Add text watermarks with custom opacity and font sizes, or convert images directly into PDF documents.
Digital Security — Sign PDF documents using certificates with specific reasons and location metadata.
Server Monitoring — Track application status, version info, and detailed request metrics (POST/GET) across all endpoints.
Advanced Operations — Use the generic tool runner to access specialized features like merging, splitting, or extracting images from PDFs.
Enterprise Metrics — Access Prometheus metrics for deep observability into your document processing pipeline.

The Stirling PDF MCP Server exposes 11 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 11 Stirling PDF tools available for LangChain

When LangChain connects to Stirling PDF through Vinkius, your AI agent gets direct access to every tool listed below — spanning pdf-tools, watermarking, pdf-conversion, 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.

add

Add watermark on Stirling PDF

Add a watermark to a PDF document

cert

Cert sign on Stirling PDF

Sign a PDF document with a certificate

get

Get all requests on Stirling PDF

Get POST requests count for all endpoints

get

Get all unique requests on Stirling PDF

Get unique users count for all endpoints

get

Get load on Stirling PDF

Get total count of GET requests

get

Get prometheus metrics on Stirling PDF

Get Prometheus metrics (requires Enterprise tier)

get

Get requests on Stirling PDF

Get total count of POST requests

get

Get status on Stirling PDF

Get application status and version information

get

Get unique requests on Stirling PDF

Get count of unique users for POST requests

img

Img to pdf on Stirling PDF

Convert an image to a PDF document

run

Run generic tool on Stirling PDF

Pass additional parameters as a JSON string. Run any Stirling PDF tool by its ID

Connect Stirling PDF to LangChain via MCP

Follow these steps to wire Stirling PDF 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 11 tools from Stirling PDF via MCP

Why Use LangChain with the Stirling PDF MCP Server

LangChain provides unique advantages when paired with Stirling PDF through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Stirling PDF 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 Stirling PDF queries for multi-turn workflows

Stirling PDF + LangChain Use Cases

Practical scenarios where LangChain combined with the Stirling PDF MCP Server delivers measurable value.

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

Autonomous research agents: LangChain agents query Stirling PDF, synthesize findings, and generate comprehensive research reports

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

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

Example Prompts for Stirling PDF in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Stirling PDF immediately.

"Check the current status and version of my Stirling PDF server."

"Add a 'CONFIDENTIAL' watermark to this PDF with 0.5 opacity."

"Convert this image to a PDF document named 'report.pdf'."

Troubleshooting Stirling PDF MCP Server with LangChain

Common issues when connecting Stirling PDF to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Stirling PDF + LangChain FAQ

Common questions about integrating Stirling PDF 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.