Integrate INI Parser Engine with Claude, Cursor, Chatbots & AI Agents MCP Server

Convert INI config files (php.ini, my.cnf, .editorconfig) to JSON and back with absolute precision. 55M+ weekly downloads.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

parse

Parse ini on INI Parser Engine

ini, my.cnf, .editorconfig, or Git config. Pass the raw INI or JSON content and the direction ("ini-to-json" or "json-to-ini"). The engine handles sections ([section]), inline comments, and nested keys deterministically. Converts INI configuration files to JSON and vice versa. Handles sections, key-value pairs, and comments. Powered by the ini package (55M+ weekly downloads)

Security & Code Integrity Audit

Every tool in the INI Parser Engine MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

What config files does this work with?

Any INI-format file: php.ini, my.cnf (MySQL), .editorconfig, Git config, Windows .ini files, and custom application configs.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Automated Workflows using INI Parser Engine

The INI Parser Engine MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.

Autonomous ini via AI

Connect INI Parser Engine to your AI agents (Claude, ChatGPT, Cursor) to manage ini operations. The MCP server processes the underlying API requests and schema formatting for the loved by devs domain.

Connecting config with Cursor

Connect the INI Parser Engine server to enable config workflows. The integration provides structured schemas for Claude to mutate loved by devs data.

INI Parser Engine. Runs on everything.

From IDE to framework. Every connection governed by Vinkius.

Claude DesktopIDE

Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

GitHub Copilot in VS Code with Agent mode and MCP support.

WindsurfIDE

Purpose-built IDE for agentic AI coding workflows.

ClineIDE

Autonomous AI coding agent that runs inside VS Code.

Claude CodeCLI

Anthropic's agentic CLI for terminal-first development.

OpenAI Agents SDKSDK

Python SDK for building production-grade OpenAI agent workflows.

Google ADKSDK

Google's framework for building production AI agents.

Pydantic AISDK

Type-safe agent development for Python with first-class MCP support.

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TypeScript toolkit for building AI-powered web applications.

Mastra AISDK

TypeScript-native agent framework for modern web stacks.

CrewAIFramework

Python framework for orchestrating collaborative AI agent crews.

LangChainFramework

Leading Python framework for composable LLM applications.

LlamaIndexFramework

Data-aware AI agent framework for structured and unstructured sources.

AutoGenFramework

Microsoft's framework for multi-agent collaborative conversations.

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