How to Use the Sirv MCP in LangChain

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

You build a sequence: first, use searchfiles to find the asset. Then, pass that result to getfiledetails. This lets your agent chain verify all necessary information in one go.

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

Absolutely. You can write a step that calls getbillinginfo immediately after running getaccountstats. This helps your agent decide if the usage increase is cost-effective.

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

The deletefile tool is irreversible. Before calling it in a chain, you should always use getfiledetails to confirm the asset ID and name, making sure your agent doesn't delete something critical.

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Setup Sirv with LangChain

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Audit file metadata and structure.

When you need to know what's in a directory, the agent can first use `read_directory` to list contents. Then, it runs `search_files` on those results to pull specific metadata and URLs for every item. This lets your multi-agent pipeline build complex file maps before deciding whether to call `get_file_details` on a critical asset.

Determine optimal billing actions.

Need to adjust CDN spending? The agent can run `get_detailed_usage` and then cross-reference that data with what `get_billing_info` returns. It determines if the high usage is normal or if a change in configuration is needed. This sequence of calls lets your workflow decide whether it needs to call `list_custom_domains` for new routing rules.

Manage account users and domains.

The agent can first use `list_account_users` to check who has access. If a user role is flagged, it might then call `delete_file` on an outdated asset that the departing user owns. It also checks network setup by running `list_custom_domains`, letting your chain confirm all endpoints are correctly mapped.

Setup guide

Set up Sirv MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Sirv tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "sirv-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Sirv transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

You build a sequence: first, use `search_files` to find the asset. Then, pass that result to `get_file_details`. This lets your agent chain verify all necessary information in one go.

Absolutely. You can write a step that calls `get_billing_info` immediately after running `get_account_stats`. This helps your agent decide if the usage increase is cost-effective.

The `delete_file` tool is irreversible. Before calling it in a chain, you should always use `get_file_details` to confirm the asset ID and name, making sure your agent doesn't delete something critical.

Sirv provides account storage statistics and detailed usage metrics. These are crucial data points you can pass to your chain logic for decision-making.

The server handles billing details, so sensitive financial information like cost structures and usage metrics is processed. You should only grant the necessary scopes to your agent client.

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