Sirv MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Sirv through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Sirv Assistant",
instructions=(
"You help users interact with Sirv. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Sirv"
)
print(result.final_output)
asyncio.run(main())
* 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 Sirv MCP Server
Connect your AI to Sirv, the image CDN and digital asset management platform optimized for speed and automation.
The OpenAI Agents SDK auto-discovers all 9 tools from Sirv through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Sirv, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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- File Deletion — Remove unused or outdated assets from your Sirv storage directly from chat.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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Sirv MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Sirv
Why Use OpenAI Agents SDK with the Sirv MCP Server
OpenAI Agents SDK provides unique advantages when paired with Sirv through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Sirv + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Sirv MCP Server delivers measurable value.
Automated workflows: build agents that query Sirv, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Sirv, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Sirv tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Sirv to resolve tickets, look up records, and update statuses without human intervention
Sirv MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Sirv to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Sirv to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Sirv + OpenAI Agents SDK FAQ
Common questions about integrating Sirv MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Sirv with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Sirv to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
