Bring File Upload
to LlamaIndex
Learn how to connect FileStack to LlamaIndex and start using 8 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 FileStack MCP Server?
Connect your Filestack account to any AI agent to handle complex file workflows, from cloud uploads to advanced AI content analysis, through simple commands.
What you can do
- Smart Uploads — Upload files directly from any public URL to your Filestack S3 storage using
upload_from_url. - AI Intelligence — Automatically extract text from documents (
get_ocr), detect objects and features in images (get_image_tags), and check for unsafe content (get_sfw_status). - Image Transformations — Generate optimized CDN URLs for resizing, blurring, or filtering images using
generate_transform_urlwithout manual editing. - Video Processing — Initiate and monitor asynchronous video transcoding jobs (
start_video_transcode) to convert files into web-ready formats like MP4 or HLS. - Metadata Inspection — Retrieve deep technical details including dimensions, mime types, and file sizes with
get_metadata.
How it works
- Subscribe to this server
- Enter your Filestack API Key (and optional Policy/Signature for security)
- Start processing assets directly from Claude, Cursor, or any MCP client
Who is this for?
- Developers — Automate asset pipelines and generate transformation URLs directly from the code editor.
- Content Moderators — Use AI to automatically flag unsafe images or tag visual assets at scale.
- Data Engineers — Extract structured text from scanned documents and images using OCR for downstream processing.
Built-in capabilities (8)
g., resize=width:400). Does not execute the request, just returns the URL. Generate a Filestack transformation URL
Detect objects and features in an image
Get metadata for a Filestack file
Extract printed or handwritten text (OCR)
Detect unsafe content (Safe for Work)
Poll status of a video transcoding job
Returns a UUID that must be used to poll for status. Start asynchronous video/audio transcoding
Upload a file to Filestack from a public URL
Why LlamaIndex?
LlamaIndex agents combine FileStack tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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 FileStack tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain FileStack tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query FileStack, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what FileStack tools were called, what data was returned, and how it influenced the final answer
FileStack in LlamaIndex
FileStack and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect FileStack 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 FileStack in LlamaIndex
The FileStack 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 8 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
FileStack for LlamaIndex
Every tool call from LlamaIndex to the FileStack MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I extract text from a scanned document or image?
Use the get_ocr tool with the file handle. The AI will perform Optical Character Recognition and return the extracted text along with its coordinates.
Is there a way to check if an uploaded image contains adult or unsafe content?
Yes, the get_sfw_status tool uses Filestack Intelligence to analyze the image and return a safety score, helping you moderate content automatically.
Can I resize an image without actually downloading and re-uploading it?
Absolutely. Use generate_transform_url to create a specific CDN URL with tasks like resize=width:400. This allows the Filestack CDN to handle the transformation on the fly.
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 FileStack 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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