Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Stirling PDF Base URL and API Key
- Start processing documents from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Developers — Automate PDF processing tasks directly from your IDE or terminal.
- System Administrators — Monitor the health and load of your Stirling PDF instance in real-time.
- Legal & Admin Teams — Quickly sign or watermark documents without leaving your AI chat interface.
Built-in capabilities (11)
Add a watermark to a PDF document
Sign a PDF document with a certificate
Get POST requests count for all endpoints
Get unique users count for all endpoints
Get total count of GET requests
Get Prometheus metrics (requires Enterprise tier)
Get total count of POST requests
Get application status and version information
Get count of unique users for POST requests
Convert an image to a PDF document
Pass additional parameters as a JSON string. Run any Stirling PDF tool by its ID
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine Stirling PDF MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Stirling PDF queries for multi-turn workflows
Stirling PDF in LangChain
Stirling PDF and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Stirling PDF to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Stirling PDF in LangChain
The Stirling PDF 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Stirling PDF for LangChain
Every tool call from LangChain to the Stirling PDF MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I add a text watermark to a PDF document using this server?
Yes! Use the add_watermark tool. You can specify the text, font size, and opacity to apply a professional watermark to any PDF file provided in base64 format.
How do I monitor the traffic and load on my Stirling PDF instance?
You can use get_requests to see POST counts, get_load for GET requests, or get_prometheus_metrics if you are on the Enterprise tier for detailed observability.
Is it possible to perform other operations like merging or splitting PDFs?
Yes, the run_generic_tool action allows you to execute any Stirling PDF tool by its ID (e.g., 'merge-pdfs' or 'split-pages') by passing the required parameters.
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.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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