How to Use the Sirv MCP in LlamaIndex

Q: How does Sirv help with file management using LlamaIndex?

You can pass the results of searchfiles to be indexed. This allows your LLM to semantically search for assets based on metadata, not just exact filenames.

Q: Can I track billing changes with Sirv and LlamaIndex?

Yes. By indexing the output of getbillinginfo, you create a permanent knowledge graph of your spending habits that can be queried later, even after the initial API call is over.

Q: If I run into issues deleting files, how does Sirv help with LlamaIndex?

While deletefile is an action, you index its context. You can create policies in your knowledge base that warn the user about the permanence of deletion based on historical records.

Ground your LLM in live CDN data using LlamaIndex.

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Connect Sirv MCP to LlamaIndex

Create your Vinkius account to connect Sirv to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Sirv with LlamaIndex

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Query historical usage metrics.

Instead of guessing, you index the results from `get_detailed_usage`. This turns raw performance numbers into a searchable knowledge base for your RAG application. Your agent can then answer questions like 'Why did traffic spike last month?' using indexed API data.

Understand file structure via indexing.

You run `list_directory` and index the resulting paths. When a user asks about an asset, LlamaIndex retrieves the context from the directory listing, even if you don't call `get_file_details`. This gives your application ground truth about file locations.

Audit account setup and users.

The system can index outputs from `list_account_users` and `list_custom_domains`. This means you don't need a specific query tool; LlamaIndex just gives the answer by searching your indexed configuration data. It’s like having a historical record of every account change.

Setup guide

Set up Sirv MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Sirv MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Sirv tools.",
)
response = await agent.run("List recent Sirv data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sirv. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Sirv MCP in LlamaIndex

You can pass the results of `search_files` to be indexed. This allows your LLM to semantically search for assets based on metadata, not just exact filenames.

Yes. By indexing the output of `get_billing_info`, you create a permanent knowledge graph of your spending habits that can be queried later, even after the initial API call is over.

While `delete_file` is an action, you index its context. You can create policies in your knowledge base that warn the user about the permanence of deletion based on historical records.

Sirv provides account usage statistics and billing details, which are perfect for indexing. This lets you build a comprehensive knowledge base around your CDN's performance.

The server touches sensitive financial metrics like detailed usage and billing info. You must ensure that the indexed documents only contain non-sensitive, anonymized versions of this data.

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