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Connect Amazon Lambda Invoke 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, proprietary logic without global permissions.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Amazon Lambda Invoke.

  1. 01

    Invoke function

    Invokes the configured AWS Lambda function using a JSON payload. You pass the necessary data in the payload to trigger the function's logic.

Real work

What teams actually run

01

Image Processing Pipeline

An AI client can invoke the function to resize or analyze an image, receiving the resulting URL or metadata immediately.

02

Financial Calculation Engine

The agent runs a complex financial model inside the Lambda, ensuring the calculation uses the latest, secure logic.

03

Background Data Sync

Instead of waiting for a long sync, the AI triggers the process and receives a 202 status code, confirming the job is running.

04

Internal System Checks

The MCP allows the AI to run a diagnostic function, receiving detailed error logs or success confirmations.

Automate a task

Put Amazon Lambda Invoke 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

Amazon Lambda Invoke 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Amazon Lambda Invoke 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

979ms average. Fast in production.

Amazon Lambda Invoke is checked daily against the live service.

Daily averagePeak 1330ms
Oct 3Today
Fastest day
697ms
Slowest day
1330ms
14-day trend
Slowing+8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 Amazon Lambda Invoke, so you can see the experience inside your AI.

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

Amazon Lambda Invoke Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_A74yu31QG6UrR8vO5MgKwlxUiKSO5h246g9tEqbV/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Amazon Lambda Invoke capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "amazon-lambda-invoke-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A74yu31QG6UrR8vO5MgKwlxUiKSO5h246g9tEqbV/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 Amazon Lambda Invoke in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Amazon Lambda Invoke owners hand off.

This MCP is essential for developers and architects who need to give their AI agents access to secure, specialized backend logic. If your business processes rely on proprietary code, this connector lets your agent execute that code without giving it dangerous, global permissions across your entire AWS account.

  • 01

    Software Developer

    Uses this MCP to build AI workflows that require calling specific, isolated microservices for data transformation.

  • 02

    Data Engineer

    Connects the AI agent to functions that handle complex ETL tasks, ensuring data processing happens in a controlled environment.

  • 03

    Solutions Architect

    Deploys this MCP to enforce the principle of least privilege, allowing AI access only to necessary compute resources.

FAQ

Questions Amazon Lambda Invoke owners ask.

  • 01

    Is this MCP safe for running sensitive code?

    Yes. This MCP is designed for absolute containment. It strips away dangerous global AWS permissions, locking your agent to only invoke one specific Lambda function. This minimizes your attack surface.

  • 02

    Can I use this to access other AWS services?

    No. The MCP only provides the ability to invoke a single, pre-configured Lambda function. It does not grant access to other AWS services or the ability to modify function code.

  • 03

    Does the AI wait for the function to finish?

    Yes. The invocation is synchronous. The agent waits for the compute payload to finish executing before continuing its thought process, ensuring the result is available.

  • 04

    What kind of data does the payload need?

    The payload must be a valid JSON string. You pass the necessary data—like an image ID or a calculation parameter—in this JSON structure for the function to process.

  • 05

    Why limit the agent to a single Lambda function?

    To enforce zero-trust architecture. An autonomous agent shouldn't have the power to execute arbitrary code or trigger unauthorized billing spikes by invoking unapproved serverless functions.

  • 06

    Can I invoke the function asynchronously?

    Yes. Set the 'invocationType' parameter to 'Event'. The agent will trigger the function in the background and receive an immediate 202 Accepted response.

  • 07

    How does the agent know if the code crashed?

    The capability automatically requests the 'Tail' log from AWS Lambda. If the function crashes, the agent will see the 'FunctionError' flag and the stack trace inside the 'LogResult'.

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