TOML Parser Connector for AI agents.
3 live capabilities
Convert raw TOML text into structured JSON for configuration management.
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Why people use TOML Parser
Stop breaking your Python configs with TOML Strict Config Parser
With this MCP, your agent does the heavy lifting. It parses the string, finds the error, and gives you back structured JSON that is ready to use in your code.
What Vinkius changes
You get reliable, machine-readable data from text-based configs.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Fixing broken configs
An engineer finds a deployment error, asks the agent to check the TOML syntax, and identifies a missing bracket instantly.
- Real-world use case 02
Automating dependency updates
A developer tells their agent to find all version numbers in a project config and update them to the latest release.
- Real-world use case 03
Generating documentation
An agent reads a complex configuration file using the structural summary capability to draft a README for the project settings.
Complete set · 3capabilities
The complete TOML Parser capability set.
These are the exact actions your AI can choose when you ask it to work with TOML Parser.
01—03
3 capabilities in this set.
Part of 3 available through TOML Parser.
- 01 Capability
Get toml structural summary
Provides a quick overview of all sections and key counts in the file. It's great for inspecting large files quickly.
- 02 Capability
Parse toml string
Converts TOML text into a JSON object for easy processing. It returns parsed data along with section counts and any errors found.
- 03 Capability
Validate toml syntax
Checks your configuration string for any structural or syntax errors. This ensures your config is valid before use.
Set up in minutes
One URL. Then ask TOML Parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use TOML Parser 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_hp9xAeCGxSZXCRk9fLqffzHSdFIm4TFG2AWXcwmN/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 TOML Parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable TOML Parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_hp9xAeCGxSZXCRk9fLqffzHSdFIm4TFG2AWXcwmN/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 TOML Parser URL.
- Step 03
Save and start
Save the connection and enable TOML Parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"toml-strict-config-parser": {
"url": "https://edge.vinkius.com/vk_preview_hp9xAeCGxSZXCRk9fLqffzHSdFIm4TFG2AWXcwmN/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 TOML Parser
Open Agent mode in chat and ask: "Using TOML Parser, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"toml-strict-config-parser": {
"url": "https://edge.vinkius.com/vk_preview_hp9xAeCGxSZXCRk9fLqffzHSdFIm4TFG2AWXcwmN/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 TOML Parser
Ask Copilot: "Using TOML Parser, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"toml-strict-config-parser": {
"url": "https://edge.vinkius.com/vk_preview_hp9xAeCGxSZXCRk9fLqffzHSdFIm4TFG2AWXcwmN/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 TOML Parser
Open Cascade and ask: "Using TOML Parser, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"toml-strict-config-parser": {
"url": "https://edge.vinkius.com/vk_preview_hp9xAeCGxSZXCRk9fLqffzHSdFIm4TFG2AWXcwmN/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 TOML Parser
Ask Cline: "Using TOML Parser, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add toml-strict-config-parser --transport http "https://edge.vinkius.com/vk_preview_hp9xAeCGxSZXCRk9fLqffzHSdFIm4TFG2AWXcwmN/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 TOML Parser
Ask Claude: "Using TOML Parser, show me...". 3 tools are ready
Where the request belongs
Work TOML Parser can move forward.
Software engineers and DevOps specialists who manage complex project settings in Python, Rust, or similar environments.
Backend Engineer
Checking if a new environment variable is correctly formatted in a config file on a Tuesday afternoon.
DevOps Engineer
Automating the validation of deployment configurations before they hit production pipelines.
Automation Specialist
Writing scripts that need to programmatically update project dependencies or settings via an agent.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Bring your own AI
Change the model, client or framework. Keep TOML Parser connected.
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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 TOML Parser.
The practical details behind the request, access and result.
How can I use TOML Strict Config Parser to find errors in my settings?
It identifies syntax mistakes immediately so you can fix them before they break your build.
Does TOML Strict Config Parser work with Python projects?
Yes, it is designed to handle the exact type of configuration structures used in Python and Rust environments.
Can I use this MCP to see a summary of my config without parsing everything?
You can use the structural summary capability to quickly see all section names and key counts.
Is there a way to turn TOML into JSON using this MCP?
Yes, it transforms raw TOML text directly into a structured JSON object for your agent.
What happens if my TOML file has a syntax error?
The parser will catch the mistake and return an error report instead of broken data.
How do I parse a TOML string?
You can use the parse_toml_string capability by providing the raw TOML text as input.
Can I validate my TOML syntax before parsing?
Yes, the validate_toml_syntax capability checks for structural validity like balanced brackets and quotes.
How can I get a summary of the TOML structure?
Use the get_toml_structural_summary capability to retrieve the total key count and all identified section names.
One connection away
Give your agent a direct line to TOML Parser.
Connect TOML Parser once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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