Dotenv Parser Engine Connector for AI agents.
1 live capability
Parse environment variables and configuration files into clean JSON for your projects.
Waiting for input…
Why people use Dotenv Parser Engine
Dotenv Parser Engine for Reliable Environment Variable Management
This Connector handles all that heavy lifting in one go. You just feed it the raw file and it gives you a clean JSON object, letting your agent get straight to work on the actual task.
What Vinkius changes
Your agent gets a perfect map of your environment variables without any parsing errors.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Fixing agent errors on multiline secrets
An agent tries to read a .
- Real-world use case 02
Validating config before deployment
You need to check if your .
- Real-world use case 03
Listing available environment variables
You want your agent to know which environment variables are available.
Complete set · 1capability
The complete Dotenv Parser Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Dotenv Parser Engine.
01
1 capability in this set.
Part of 1 available through Dotenv Parser Engine.
- 01 Capability
Parse dotenv
Pass raw .env text to get a clean JSON object with all key-value pairs extracted. It handles quotes, multiline values, and comments.
Set up in minutes
One URL. Then ask Dotenv Parser Engine to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Dotenv Parser Engine from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_2xrNyjQHEq0FuCwGQfjMiMwH2viTDafedV5I0IMu/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Dotenv Parser Engine, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Dotenv Parser Engine for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_2xrNyjQHEq0FuCwGQfjMiMwH2viTDafedV5I0IMu/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Dotenv Parser Engine URL.
- Step 03
Save and start
Save the connection and enable Dotenv Parser Engine in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"dotenv-parser-engine": {
"url": "https://edge.vinkius.com/vk_preview_2xrNyjQHEq0FuCwGQfjMiMwH2viTDafedV5I0IMu/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Dotenv Parser Engine
Open Agent mode in chat and ask: "Using Dotenv Parser Engine, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"dotenv-parser-engine": {
"url": "https://edge.vinkius.com/vk_preview_2xrNyjQHEq0FuCwGQfjMiMwH2viTDafedV5I0IMu/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Dotenv Parser Engine
Ask Copilot: "Using Dotenv Parser Engine, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"dotenv-parser-engine": {
"url": "https://edge.vinkius.com/vk_preview_2xrNyjQHEq0FuCwGQfjMiMwH2viTDafedV5I0IMu/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Dotenv Parser Engine
Open Cascade and ask: "Using Dotenv Parser Engine, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"dotenv-parser-engine": {
"url": "https://edge.vinkius.com/vk_preview_2xrNyjQHEq0FuCwGQfjMiMwH2viTDafedV5I0IMu/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Dotenv Parser Engine
Ask Cline: "Using Dotenv Parser Engine, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add dotenv-parser-engine --transport http "https://edge.vinkius.com/vk_preview_2xrNyjQHEq0FuCwGQfjMiMwH2viTDafedV5I0IMu/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Dotenv Parser Engine
Ask Claude: "Using Dotenv Parser Engine, show me...". 1 tools are ready
Where the request belongs
Work dotenv can move forward.
This is for the DevOps engineer who's tired of their AI agent hallucinating environment variables or the backend developer who needs to validate configuration files before a deployment.
DevOps Engineer
Validates secret keys and environment configs before pushing to production.
Backend Developer
Quickly extracts configuration values from messy files to build mock data.
AI Agent Architect
Ensures agents can reliably read local project settings without breaking on quotes.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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TOML Parser Engine
Convert TOML config files to JSON and back. Essential for Rust (Cargo.toml), Python (pyproject.toml), and Cloudflare (wrangler.toml).
Env Variable Config Validator
Validate .env files for structural integrity, type accuracy, and security hygiene.
Environment Variable Usage Auditor
Cross-references environment variable usage against declaration files to find missing or unused keys.
Bring your own AI
Change the model, client or framework. Keep dotenv connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
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Chorus -
5ire -
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LangChain -
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CrewAI -
Vercel AI SDK
Before you connect
Questions about dotenv.
The practical details behind the request, access and result.
What does the Dotenv Parser Engine do?
It converts your .env files into a format your AI can understand perfectly. It handles all the messy bits like quotes and comments so you don't have to.
Can it handle multiline strings in my .env file?
Yes, the Dotenv Parser Engine is built to handle multiline values correctly. This is great for things like private keys or long configuration strings.
Will it ignore comments in my configuration?
Yes, it treats comments as non-data. Your AI agent won't get confused by your notes or descriptions inside the file.
Is this safe for my secrets?
It parses the data into a JSON object for your agent to use. It doesn't expose your secrets to the internet; it just helps your agent read them correctly from your local environment.
How does this help with DevOps?
It makes it much easier to validate configuration files. You can have your agent check for syntax errors or list all available variables instantly.
Do I need to clean my .env file before using it?
No, that's the whole point. You can provide the raw file with all its quotes, whitespace, and comments intact.
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.
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.
Can it parse comments?
Yes. Lines starting with # are treated as comments and ignored. Inline comments after unquoted values are also handled correctly.
One connection away
Give your agent a direct line to dotenv.
Connect dotenv once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available