What is the benefit of the Batch API?

The Message Batch API allows you to send large numbers of requests to be processed asynchronously within 24 hours. The main benefits are a 50% discount on token pricing and higher rate limits compared to standard requests.

Can I use this server to switch between Claude 3.5 Sonnet and Opus?

Yes! You can specify the model ID in the `create_message` tool. This allows your agent to leverage different models depending on the complexity of the task.

How do I monitor my rate limits?

Use the `check_rate_limits` tool. It queries Anthropic's API and extracts the current remaining tokens and requests from the response headers, helping you avoid 429 errors.

Anthropic MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Anthropic
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Anthropic through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

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 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="Anthropic Assistant",
            instructions=(
                "You help users interact with Anthropic. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Anthropic"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Anthropic MCP Server

The Anthropic MCP Server enables seamless integration with Claude, the leading AI model for complex reasoning and creative tasks. This server allows your AI agent to interact with other Claude models, manage asynchronous batch processing, and optimize costs through direct API access.

The OpenAI Agents SDK auto-discovers all 10 tools from Anthropic through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Anthropic, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Direct Messaging — Send multi-turn messages and system prompts to any Claude model (Haiku, Sonnet, Opus).
Asynchronous Batching — Create and manage high-volume message batches with 50% cost savings using the Message Batch API.
Cost Estimation — Built-in tools to calculate the expected cost of your prompts based on token counts and current pricing.
Rate Limit Monitoring — Keep track of your account's Requests Per Minute (RPM) and Tokens Per Minute (TPM) limits directly from your chat.
Model Discovery — List all available models and check their specific technical capabilities.

The Anthropic MCP Server exposes 10 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 Anthropic to OpenAI Agents SDK via MCP

Follow these steps to integrate the Anthropic 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 10 tools from Anthropic

Why Use OpenAI Agents SDK with the Anthropic MCP Server

OpenAI Agents SDK provides unique advantages when paired with Anthropic 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

Anthropic + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Anthropic MCP Server delivers measurable value.

Automated workflows: build agents that query Anthropic, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Anthropic, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Anthropic tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Anthropic to resolve tickets, look up records, and update statuses without human intervention

Anthropic MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Anthropic to OpenAI Agents SDK via MCP:

cancel_batch

Cancel a pending Message Batch

check_rate_limits

Check current rate limits for your Anthropic account

create_batch

Saves 50% on token costs. Create a Message Batch for asynchronous processing

create_message

Returns the generated AI text response. Send a message to Claude

estimate_cost

Estimate the cost of a Claude request based on token counts

get_batch

Get status of a specific Message Batch

get_batch_results

Retrieve results of a completed Message Batch

get_model_specs

Get technical specifications for major Claude models

list_batches

List all Message Batches

list_models

List available Anthropic models

Example Prompts for Anthropic in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Anthropic immediately.

"List all available Claude models."

"What is the estimated cost for 50k input tokens and 10k output tokens using Claude 3 Opus?"

"Create a message batch with 100 requests for sentiment analysis."

Troubleshooting Anthropic MCP Server with OpenAI Agents SDK

Common issues when connecting Anthropic to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Anthropic + OpenAI Agents SDK FAQ

Common questions about integrating Anthropic MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.