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 LlamaIndex?
LlamaIndex agents combine Stirling PDF tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Stirling PDF tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Stirling PDF tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Stirling PDF, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Stirling PDF tools were called, what data was returned, and how it influenced the final answer
Stirling PDF in LlamaIndex
Stirling PDF and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Stirling PDF to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Stirling PDF tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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