How do I get an Anthropic API Key?

Log in to the [**Anthropic Console**](https://console.anthropic.com), go to **Account Settings > API Keys** and click **Create Key**. Copy the key immediately — it starts with `sk-ant-` and won't be shown again. You can also create workspace-scoped keys to control spending by use case.

What models are available?

Use the `list_models` tool to see all available Claude models. Current models include Claude Sonnet 4, Claude Opus 4 and Claude Haiku variants, each with different capabilities, context windows and pricing. The model ID format is like `claude-sonnet-4-20250514`.

Can I send multi-turn conversations?

Yes! Pass a messages array with alternating 'user' and 'assistant' roles. Each message has a 'role' and 'content' field. Claude will continue the conversation based on the full message history. Example: [{"role":"user","content":"Hello"},{"role":"assistant","content":"Hi!"},{"role":"user","content":"What's 2+2?"}].

How does batch processing work?

Use `create_batch_message` with an array of independent message requests. Each request is processed asynchronously and costs 50% less than individual requests. Use `get_batch_message` to check progress and results. Batches are ideal when you have many unrelated prompts to process.

Anthropic Alternative MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Name: Anthropic Alternative
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Anthropic Alternative 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 Alternative Assistant",
            instructions=(
                "You help users interact with Anthropic Alternative. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Anthropic Alternative"
        )
        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 Alternative MCP Server

Connect your Anthropic account to any AI agent and leverage Claude's capabilities through natural conversation.

The OpenAI Agents SDK auto-discovers all 6 tools from Anthropic Alternative through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Anthropic Alternative, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Model Discovery — List all available Claude models with their IDs and capabilities
Message API — Send conversations to Claude models and receive responses with configurable max tokens, system prompts and temperature
Token Counting — Count tokens in messages before sending to estimate costs and context window usage
Batch Processing — Submit batches of independent message requests for asynchronous, cost-effective processing

The Anthropic Alternative MCP Server exposes 6 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 Alternative to OpenAI Agents SDK via MCP

Follow these steps to integrate the Anthropic Alternative 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 6 tools from Anthropic Alternative

Why Use OpenAI Agents SDK with the Anthropic Alternative MCP Server

OpenAI Agents SDK provides unique advantages when paired with Anthropic Alternative 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 Alternative + OpenAI Agents SDK Use Cases

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

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

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

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

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

Anthropic Alternative MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect Anthropic Alternative to OpenAI Agents SDK via MCP:

cancel_batch_message

Requests that have already been completed cannot be cancelled. Provide the batch ID. This is useful if you submitted a large batch by mistake and want to stop further processing to save costs. Cancel an in-progress batch message request

count_tokens

Requires the model ID and messages array. Returns the total input token count. Useful for estimating API costs and ensuring messages fit within context limits. Count tokens in a message before sending to Claude

create_batch_message

Each request in the batch has its own model, messages, max_tokens, etc. This is more cost-effective than individual requests when you have many independent prompts to process. Returns a batch ID for tracking. Use get_batch_message to check progress. Create a batch of message requests to Claude

get_batch_message

Returns the batch status (in_progress, succeeded, expired, canceling, canceled, failed), request counts (total, succeeded, errored) and individual results. Use the batch ID returned from create_batch_message. Get the status of a batch message request

list_models

Each model returns its ID (e.g. "claude-sonnet-4-20250514"), display name, creation date and capabilities. Use this to discover which models are available and their IDs for use with the send_message tool. List all available Anthropic Claude models

send_message

Requires the model ID (e.g. "claude-sonnet-4-20250514") and messages array in JSON format. Each message must have a "role" ("user" or "assistant") and "content" (text or array of content blocks). Optionally set max_tokens (default 1024), system prompt and temperature (0-1). Returns the assistant's response text. Send a message to Claude (Messages API)

Example Prompts for Anthropic Alternative in OpenAI Agents SDK

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

"Send a message to Claude asking 'What is the capital of Brazil?'"

"List all available Claude models."

"Count tokens for a message asking Claude to summarize a 500-word article."

Troubleshooting Anthropic Alternative MCP Server with OpenAI Agents SDK

Common issues when connecting Anthropic Alternative 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 Alternative + OpenAI Agents SDK FAQ

Common questions about integrating Anthropic Alternative 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.