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Vinkius

Node Buffer Connector for AI agents.

1 live capability

Ensure your API payloads and file attachments stay intact and valid.

Live agent request Node Buffer / Connector

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AI Agent

Why people use Node Buffer

Base64 & Binary Encoder for Reliable API Payloads

This Connector takes that manual step off your plate. When your agent needs to handle a binary buffer, it calls this capability to get a perfectly formatted Base64 or Hex string. You get a working API call on the first try without ever leaving your chat interface.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

That it stops your AI from corrupting binary data during the encoding process.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Sending emails with attachments

    An agent needs to send a PDF via an API.

  2. Real-world use case 02

    Creating JWT tokens

    A dev asks the agent to build a secure token.

  3. Real-world use case 03

    Decoding raw logs

    A user pastes a Hex string from a server log.

Complete set · 1capability

The complete Node Buffer capability set.

These are the exact actions your AI can choose when you ask it to work with Node Buffer.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Node Buffer.

  1. 01 Capability

    Encode binary

    Choose a direction and format to encode or decode strings to Base64, Base64URL, or Hex safely. This ensures your data stays intact for API calls.

Set up in minutes

One URL. Then ask Node Buffer to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Node Buffer from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_FhTnrzr85Vbc8FN6iKMLvQ1SGaZZEipy58z8EP7R/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Node Buffer, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Node Buffer for the conversation.

Where the request belongs

Work Node Buffer can move forward.

Built around the request

Developers and backend engineers who are tired of debugging corrupted payloads or broken attachments in their automated workflows.

01

Backend Engineer

Handles the encoding for complex API integrations like SendGrid or AWS S3.

02

DevOps Specialist

Manages secure token generation and environment variable encoding.

03

Full-stack Developer

Builds features that require uploading images or files via JSON.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Deterministic Codec Engine logo
01 4 capabilities

Deterministic Codec Engine

Empower your AI to perfectly serialize and deserialize data. Effortlessly switch between URL Encoding, HTML Entities, Unicode Escapes, and DNS Punycode with a native V8 engine.

View Connector
CRC32 Checksum Engine logo
02 1 capability

CRC32 Checksum Engine

Calculate CRC32 checksums instantly. the same algorithm inside ZIP, PNG, Ethernet, and MPEG-2. Pure JS, zero dependencies, three output formats.

View Connector
Bcrypt Hash Engine logo
03 2 capabilities

Bcrypt Hash Engine

Hash and verify passwords with the industry-standard bcrypt algorithm. Two capabilities in one: hash with configurable salt rounds, and verify against stored hashes. Pure JS. zero compilation.

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QR Code SVG Generator logo
04 1 capability

QR Code SVG Generator

Generate vector SVG QR Codes completely local. Prevent data leakage of sensitive Pix keys or JWT tokens to public API generators.

View Connector
Base64 and Hex Encoder/Decoder Alternative logo
05 7 capabilities New

Base64 and Hex Encoder/Decoder Alternative

Encode and decode strings between Base64, Base64URL, and Hexadecimal formats with byte size calculation.

View Connector
Base64 and Hex Encoder/Decoder logo
06 7 capabilities New

Base64 and Hex Encoder/Decoder

Encode and decode strings between Base64, Base64URL, and Hexadecimal formats with byte size calculation.

View Connector

Bring your own AI

Change the model, client or framework. Keep Node Buffer connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Node Buffer.

The practical details behind the request, access and result.

Why do I need the Base64 & Binary Encoder MCP?

Because AI models often struggle with raw binary data, causing corrupted files or broken API calls when they try to write encoded strings manually.

How does this help with email attachments?

It ensures that when your agent handles an attachment, it converts the file into a clean Base64 string that services like SendGrid can actually read.

Can I use it to decode hex strings?

Yes, you can give your agent a Hex payload and it will turn it back into readable UTF-8 text for you.

Will this work for JWT tokens?

It supports Base64URL encoding, which is the standard for making tokens safe for use in web addresses and headers.

Does it handle special characters?

Yes, it uses the Edge V8 engine to handle UTF-8 buffers, which keeps your data intact during the conversion process.

Is it better than letting the AI do it?

Yes, because AI models can hallucinate characters in long strings, whereas this Connector uses a dedicated engine to ensure 100% accuracy.

Does it support URL-safe Base64?

Yes, just pass base64url as the format argument. It removes + and / characters.

Is this needed if my LLM can write code?

Yes, because the LLM is running in a sandbox without a Node.js runtime. This Connector gives the LLM direct access to Buffer execution.

What happens if I try to decode an invalid Base64 string?

The V8 engine will safely catch the error and return a formatted error message without crashing your agent.

One connection away

Give your agent a direct line to Node Buffer.

Connect Node Buffer once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available