Bring Pdf Tools
to CrewAI
Learn how to connect Stirling PDF to CrewAI and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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 CrewAI?
When paired with CrewAI, Stirling PDF becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Stirling PDF tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Stirling PDF in CrewAI
Stirling PDF and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Stirling PDF to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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