Is this MCP just a simple wrapper around the Anthropic API?

No. While it connects to the API, it adds critical management capabilities. You get built-in functions to check rate limits, estimate costs, and manage complex asynchronous batches, which are essential for production use.

What kinds of models can I use with this connector?

You can interact with any Claude model, including Haiku, Sonnet, and Opus. You can also use the list_models capability to see all available options and their specific capabilities.

How does the batch processing save money?

The create_batch capability uses the Message Batch API, which is designed for high-volume processing. By running jobs asynchronously, you get a 50% cost reduction compared to sending requests one by one.

What if I need to stop a batch job that's running?

You can use the cancel_batch capability. This lets you halt a pending Message Batch immediately if you need to adjust the parameters or stop the job for any reason.

Does this connector handle multi-turn conversations?

Yes. The core messaging capability allows you to send multi-turn messages and system prompts, ensuring that the AI model maintains context throughout the entire conversation.

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

An astronaut overseeing a futuristic data hub

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Connect Anthropic to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run complex reasoning and large-scale AI tasks.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 8 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through Anthropic.

01
Create message
Returns the generated AI text response. Send a message to Claude
02
List batches
List all Message Batches
03
List models
List available Anthropic models
04
Get batch
Get status of a specific Message Batch

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through Anthropic.

05
Get batch results
Retrieve results of a completed Message Batch
06
Cancel batch
Cancel a pending Message Batch
07
Check rate limits
Check current rate limits for your Anthropic account
08
Create batch
Saves 50% on token costs. Create a Message Batch for asynchronous processing

Real work

What teams actually run

Building Customer Support Bots

Use the core messaging capability to handle multi-turn conversations, giving your bot the context it needs to answer complex user questions.

Analyzing Large Document Sets

Send thousands of documents through a message batch to perform sentiment analysis or data extraction, all while keeping costs low.

Automated Content Generation

Develop a system that generates product descriptions or marketing copy for hundreds of items, managing the process through batching.

API Usage Auditing

Periodically check your rate limits and list all completed batches to audit your team's total API usage and spending.

Automate a task

Put Anthropic to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Anthropic works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Anthropic to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

821ms average. Fast in production.

Anthropic is checked daily against the live service.

Daily averagePeak 962ms

Oct 3Today

Fastest day: 683ms
Slowest day: 962ms
14-day trend: Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Anthropic, so you can see the experience inside your AI.

It does not authenticate your account with Anthropic. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Anthropic Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_LiE24PhSuk7PZGEQhhm3eCwhCqiOpA9Ag62teVlt/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Anthropic capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "anthropic-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_LiE24PhSuk7PZGEQhhm3eCwhCqiOpA9Ag62teVlt/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Anthropic in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Anthropic owners hand off.

This MCP is built for technical users who need reliable, high-volume access to advanced LLM capabilities. If you're building an application that relies on Claude's complex reasoning, this connector gives you the capabilities to manage scale, cost, and performance.

01
Developers
Use it to quickly test prompt variations and monitor API limits without leaving your workspace.
02
AI Researchers
Run large-scale evaluations using the Batch API to achieve significant cost reduction for academic or commercial testing.
03
Project Managers
Track AI spending and model availability across your team's account, ensuring predictable resource allocation.

FAQ

Questions Anthropic owners ask.

01
Is this MCP just a simple wrapper around the Anthropic API?
No. While it connects to the API, it adds critical management capabilities. You get built-in functions to check rate limits, estimate costs, and manage complex asynchronous batches, which are essential for production use.
02
What kinds of models can I use with this connector?
You can interact with any Claude model, including Haiku, Sonnet, and Opus. You can also use the list_models capability to see all available options and their specific capabilities.
03
How does the batch processing save money?
The create_batch capability uses the Message Batch API, which is designed for high-volume processing. By running jobs asynchronously, you get a 50% cost reduction compared to sending requests one by one.
04
What if I need to stop a batch job that's running?
You can use the cancel_batch capability. This lets you halt a pending Message Batch immediately if you need to adjust the parameters or stop the job for any reason.
05
Does this connector handle multi-turn conversations?
Yes. The core messaging capability allows you to send multi-turn messages and system prompts, ensuring that the AI model maintains context throughout the entire conversation.
06
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.
07
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 capability. This allows your agent to leverage different models depending on the complexity of the task.
08
How do I monitor my rate limits?
Use the check_rate_limits capability. It queries Anthropic's API and extracts the current remaining tokens and requests from the response headers, helping you avoid 429 errors.

Explore

More in AI Frontier

Connect Anthropic to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Create message

List batches

List models

Get batch

05-08

Get batch results

Cancel batch

Check rate limits

Create batch

What teams actually run

Building Customer Support Bots

Analyzing Large Document Sets

Automated Content Generation

API Usage Auditing

Building your own app? The connector is yours to use.

Anthropic Connector

Claude Desktop

Developers

AI Researchers

Project Managers

Is this MCP just a simple wrapper around the Anthropic API?

What kinds of models can I use with this connector?

How does the batch processing save money?

What if I need to stop a batch job that's running?

Does this connector handle multi-turn conversations?

What is the benefit of the Batch API?

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

How do I monitor my rate limits?

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