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Connect Dotenv Parser Engine 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. Convert raw .env text into clean, structured JSON data.

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 dotenv.

  1. 01

    Parse dotenv

    Converts raw .env file content into a structured JSON object. It correctly processes single quotes, double quotes, multiline values, and inline comments.

Real work

What teams actually run

01

Config Validation

Your agent checks a .env file for syntax errors before you trigger a deployment pipeline.

02

Variable Extraction

The agent pulls specific keys from a large environment file to use in other tasks.

03

Automated Refactoring

Your agent reads current settings and generates updated versions with new values.

04

Environment Auditing

The agent scans configuration files to list all active environment variables.

Automate a task

Put dotenv 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

dotenv 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 dotenv 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

958ms average. Fast in production.

dotenv is checked daily against the live service.

Daily averagePeak 1123ms
Oct 3Today
Fastest day
690ms
Slowest day
1123ms
14-day trend
Slowing+25%

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 dotenv, so you can see the experience inside your AI.

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

dotenv Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_2xrNyjQHEq0FuCwGQfjMiMwH2viTDafedV5I0IMu/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 — dotenv capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "dotenv-parser-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2xrNyjQHEq0FuCwGQfjMiMwH2viTDafedV5I0IMu/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 dotenv in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work dotenv owners hand off.

This MCP is built for developers who need their AI agents to interact with local or remote configuration files accurately.

  • 01

    DevOps Engineers

    They hand off configuration validation tasks to the agent.

  • 02

    Backend Developers

    They use the agent to parse and manage environment variables during local development.

  • 03

    SREs

    They rely on the agent to verify environment settings before pushing changes to production.

FAQ

Questions dotenv owners ask.

  • 01

    What makes this parser different from standard LLM parsing?

    LLMs often struggle with specific syntax like multiline strings or nested quotes. This MCP uses the production-grade dotenv library to ensure the output is always mathematically correct and follows standard rules.

  • 02

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Does it handle comments in .env files?

    Yes, the capability is designed to recognize and strip out inline comments so they do not interfere with your data.

  • 04

    Can it handle complex multiline values?

    Yes, it specifically handles multiline strings, which is a common point of failure for standard text parsing.

  • 05

    Is it hosted by Vinkius?

    Yes, Vinkius hosts and manages the MCP, so you do not need to run it locally or manage credentials yourself.

  • 06

    Does it expand variables like $HOME?

    No. This engine does strict parsing only. it extracts raw key-value pairs without variable expansion to prevent side effects and maintain determinism.

  • 07

    Does it handle quoted values?

    Yes. Both single-quoted ('value') and double-quoted ("value") values are supported. Quotes are stripped from the output, and escape sequences inside double quotes are processed.

  • 08

    Can it parse comments?

    Yes. Lines starting with # are treated as comments and ignored. Inline comments after unquoted values are also handled correctly.

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