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Connect Toml 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. Switch between TOML and JSON without losing data structure.

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 @iarna/toml.

  1. 01

    Parse toml

    The parse_toml capability converts raw TOML or JSON content into the opposite format based on your direction. It handles complex structures like nested tables and datetime values with total accuracy.

Real work

What teams actually run

01

Dependency Updates

Your agent converts Cargo.toml to JSON to analyze and update dependency versions.

02

Cloudflare Configuration

You use it to transform JSON objects into valid wrangler.toml files for deployment.

03

Metadata Extraction

The agent parses pyproject.toml to pull specific project details into a JSON format.

04

Config Auditing

Convert TOML files to JSON to make them easier for your agent to inspect and validate.

Automate a task

Put @iarna/toml 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

@iarna/toml 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 @iarna/toml 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

918ms average. Fast in production.

@iarna/toml is checked daily against the live service.

Daily averagePeak 1183ms
Oct 3Today
Fastest day
734ms
Slowest day
1183ms
14-day trend
Improving-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 @iarna/toml, so you can see the experience inside your AI.

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

@iarna/toml Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_4iZaZNjxZGbHdihHH7ZjREBq5ad0IxOFhHEmMmWA/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 — @iarna/toml capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "toml-parser-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4iZaZNjxZGbHdihHH7ZjREBq5ad0IxOFhHEmMmWA/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 @iarna/toml in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work @iarna/toml owners hand off.

This MCP is built for developers who use AI agents to manage project configurations.

  • 01

    Rust Developers

    They use it to let their agent safely edit Cargo.toml files.

  • 02

    Python Developers

    They hand off pyproject.toml management to their AI client.

  • 03

    DevOps Engineers

    They use it to manipulate wrangler.toml for Cloudflare deployments.

FAQ

Questions @iarna/toml owners ask.

  • 01

    Does this MCP support nested TOML tables?

    Yes, it handles nested tables, arrays of tables, and inline tables according to the TOML 1.0 spec.

  • 02

    Can I convert JSON back into TOML?

    Yes, the capability is bidirectional and supports json-to-toml conversion.

  • 03

    Which configuration files can I use this with?

    It is designed for files like Cargo.toml, pyproject.toml, and wrangler.toml.

  • 04

    Will I lose data during the conversion?

    The engine is designed for full round-trip fidelity to prevent data loss.

  • 05

    How do I use this in Cursor or Claude?

    You connect to the Vinkius-hosted MCP once, and the capabilities become available to your agent in those clients.

  • 06

    Does it support TOML 1.0 spec?

    Yes. @iarna/toml fully supports the TOML 1.0 specification including all edge cases like nested tables, inline tables, and datetime values.

  • 07

    Can I convert JSON back to TOML?

    Yes. Use direction "json-to-toml" to serialize a JSON object back into valid TOML format with proper sections and formatting.

  • 08

    What files does this commonly work with?

    Cargo.toml (Rust), pyproject.toml (Python), wrangler.toml (Cloudflare Workers), Hugo config.toml, and any TOML-based configuration file.

Explore

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