Can it accidentally delete all my files?

The delete_file tool only removes the specific file you target by path. It cannot delete entire directories at once. Each deletion requires an explicit file path.

How does authentication work?

You provide your Client ID and Client Secret. The integration automatically exchanges them for a Bearer token on each session — no manual OAuth setup required.

What file types does Sirv support?

Sirv supports images (JPEG, PNG, WebP, SVG, GIF), videos, PDFs, and other static files. The integration can browse and manage all file types stored in your account.

Sirv MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Name: Sirv
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Sirv. "
            "You have 9 tools available."
        ),
    )

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

asyncio.run(main())

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About Sirv MCP Server

Connect your AI to Sirv, the image CDN and digital asset management platform optimized for speed and automation.

LlamaIndex agents combine Sirv tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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

File Browsing — List files and directories in your Sirv account, inspecting folder structures and contents.
Metadata Inspection — Read detailed metadata for any file, including dimensions, format, size, and modification dates.
File Deletion — Remove unused or outdated assets from your Sirv storage directly from chat.
Bandwidth Monitoring — Audit your CDN bandwidth usage and storage consumption.

The Sirv MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Sirv to LlamaIndex via MCP

Follow these steps to integrate the Sirv MCP Server with LlamaIndex.

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 9 tools from Sirv

Why Use LlamaIndex with the Sirv MCP Server

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

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

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

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

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

Sirv + LlamaIndex Use Cases

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

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

Data enrichment: query Sirv 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 Sirv for fresh data

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

Sirv MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Sirv to LlamaIndex via MCP:

delete_file

This action is irreversible. Permanently deletes a file

get_account_stats

Retrieves Sirv account storage and traffic statistics

get_billing_info

Retrieves billing details

get_detailed_usage

Retrieves detailed usage metrics

get_file_details

Retrieves details for a specific file

list_account_users

Lists all users in the Sirv account

list_custom_domains

Lists custom domains configured for the account

read_directory

Requires the absolute path starting with "/". Lists contents of a specific directory

search_files

Returns file metadata and URLs. Searches for files in Sirv

Example Prompts for Sirv in LlamaIndex

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

"List the contents of the '/images' directory in my Sirv account."

"Show me the bandwidth usage for this month."

Troubleshooting Sirv MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Sirv + LlamaIndex FAQ

Common questions about integrating Sirv 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.