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Vinkius
LlamaIndexFramework
LlamaIndex
Stirling PDF MCP Server

Bring Pdf Tools
to LlamaIndex

Learn how to connect Stirling PDF to LlamaIndex and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Add WatermarkCert SignGet All RequestsGet All Unique RequestsGet LoadGet Prometheus MetricsGet RequestsGet StatusGet Unique RequestsImg To PdfRun Generic Tool

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Stirling PDF

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

  1. Subscribe to this server
  2. Enter your Stirling PDF Base URL and API Key
  3. 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_watermark

Add a watermark to a PDF document

cert_sign

Sign a PDF document with a certificate

get_all_requests

Get POST requests count for all endpoints

get_all_unique_requests

Get unique users count for all endpoints

get_load

Get total count of GET requests

get_prometheus_metrics

Get Prometheus metrics (requires Enterprise tier)

get_requests

Get total count of POST requests

get_status

Get application status and version information

get_unique_requests

Get count of unique users for POST requests

img_to_pdf

Convert an image to a PDF document

run_generic_tool

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.

  • Data-first architecture: LlamaIndex agents combine Stirling PDF tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Stirling PDF tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Stirling PDF, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Stirling PDF tools were called, what data was returned, and how it influenced the final answer

L
See it in action

Stirling PDF in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

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.

Stirling PDF
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

The Vinkius Advantage

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.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

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.

05

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.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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