FileStack MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Generate Transform Url, Get Image Tags, Get Metadata, and more

Name: FileStack
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FileStack as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The FileStack MCP Server for LlamaIndex is a standout in the Image Video category — giving your AI agent 8 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to FileStack. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in FileStack?"
    )
    print(response)

asyncio.run(main())

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* 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

About 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.

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.

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_url without 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.

The FileStack MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 FileStack tools available for LlamaIndex

When LlamaIndex connects to FileStack through Vinkius, your AI agent gets direct access to every tool listed below — spanning file-upload, image-processing, ocr, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

generate

Generate transform url on FileStack

g., resize=width:400). Does not execute the request, just returns the URL. Generate a Filestack transformation URL

get

Get image tags on FileStack

Detect objects and features in an image

get

Get metadata on FileStack

Get metadata for a Filestack file

get

Get ocr on FileStack

Extract printed or handwritten text (OCR)

get

Get sfw status on FileStack

Detect unsafe content (Safe for Work)

get

Get video status on FileStack

Poll status of a video transcoding job

start

Start video transcode on FileStack

Returns a UUID that must be used to poll for status. Start asynchronous video/audio transcoding

upload

Upload from url on FileStack

Upload a file to Filestack from a public URL

Connect FileStack to LlamaIndex via MCP

Follow these steps to wire FileStack into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from FileStack

Why Use LlamaIndex with the FileStack MCP Server

LlamaIndex provides unique advantages when paired with FileStack through the Model Context Protocol.

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

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

FileStack + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the FileStack MCP Server delivers measurable value.

Hybrid search: combine FileStack real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query FileStack to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying FileStack for fresh data

Analytical workflows: chain FileStack queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for FileStack in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with FileStack immediately.

"Upload this image to Filestack: https://example.com/photo.jpg"

"What objects are detected in the image with handle ABC123XYZ?"

"Convert the video ABC123XYZ to mp4 format."

Troubleshooting FileStack MCP Server with LlamaIndex

Common issues when connecting FileStack to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

FileStack + LlamaIndex FAQ

Common questions about integrating FileStack MCP Server with LlamaIndex.

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.