JS YAML Connector for AI agents.
1 live capability
Fix Kubernetes and CI/CD configuration errors by switching to JSON for safe processing.
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Why people use JS YAML
Fix Kubernetes YAML Hallucinations with YAML/JSON Converter
This Connector changes the game by letting the agent work in a format it actually understands. By converting that YAML to JSON, the agent can manipulate the data without worrying about whitespace. Once the work is done, the Connector handles the heavy lifting of dumping it back into a perfectly formatted YAML file. You get valid code on the first try.
What Vinkius changes
You get error-free configuration files without the constant headache of manual whitespace correction.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Fixing a broken Kubernetes manifest
A manifest is failing due to a nested block error.
- Real-world use case 02
Generating complex Ansible playbooks
Have the agent draft the logic in JSON to ensure accuracy, then use convert_yaml to output the final playbook.
- Real-world use case 03
Migrating JSON configs to YAML
Feed the JSON to convert_yaml to get a strictly formatted YAML file ready for your production environment.
Complete set · 1capability
The complete JS YAML capability set.
These are the exact actions your AI can choose when you ask it to work with JS YAML.
01
1 capability in this set.
Part of 1 available through JS YAML.
- 01 Capability
Convert yaml
Swap between YAML and JSON formats to prevent indentation errors in config files. It handles nested arrays and multiline values automatically.
Set up in minutes
One URL. Then ask JS YAML to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use JS YAML 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_v5gKJ9SfUP5I9khAYCjKnroQQLZM7BnL1DV78hPR/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 JS YAML, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable JS YAML for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_v5gKJ9SfUP5I9khAYCjKnroQQLZM7BnL1DV78hPR/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 JS YAML URL.
- Step 03
Save and start
Save the connection and enable JS YAML in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"yamljson-converter": {
"url": "https://edge.vinkius.com/vk_preview_v5gKJ9SfUP5I9khAYCjKnroQQLZM7BnL1DV78hPR/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 JS YAML
Open Agent mode in chat and ask: "Using JS YAML, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"yamljson-converter": {
"url": "https://edge.vinkius.com/vk_preview_v5gKJ9SfUP5I9khAYCjKnroQQLZM7BnL1DV78hPR/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 JS YAML
Ask Copilot: "Using JS YAML, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"yamljson-converter": {
"url": "https://edge.vinkius.com/vk_preview_v5gKJ9SfUP5I9khAYCjKnroQQLZM7BnL1DV78hPR/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 JS YAML
Open Cascade and ask: "Using JS YAML, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"yamljson-converter": {
"url": "https://edge.vinkius.com/vk_preview_v5gKJ9SfUP5I9khAYCjKnroQQLZM7BnL1DV78hPR/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 JS YAML
Ask Cline: "Using JS YAML, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add yamljson-converter --transport http "https://edge.vinkius.com/vk_preview_v5gKJ9SfUP5I9khAYCjKnroQQLZM7BnL1DV78hPR/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 JS YAML
Ask Claude: "Using JS YAML, show me...". 1 tools are ready
Where the request belongs
Work JS YAML can move forward.
This is for DevOps engineers and SREs who are tired of their AI-generated Kubernetes manifests failing because of a single missing space. It's for anyone managing complex CI/CD pipelines where precision is non-negotiable.
DevOps Engineer
Debugging broken GitHub Actions or Kubernetes manifests at 3 AM.
SRE
Automating infrastructure deployments where YAML errors cause production downtime.
Cloud Architect
Designing complex multi-service configurations that require perfect serialization.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Convert YAML to JSON and JSON to YAML with absolute precision. including anchors, aliases, and multi-document support. The engine behind Kubernetes, GitHub Actions, and Docker Compose config processing. 30M+ weekly downloads.
XML <-> JSON Converter
Parse legacy systems easily. Deterministically convert massive XML, SOAP, or RSS feeds into clean JSON (and back) without LLM hallucinations.
JSON Diff Visualizer
Generate human-readable visual diffs between two JSON objects. added lines in green, removed in red, unchanged in gray. Like 'git diff' but for JSON structures.
LLM Output JSON Extractor
Isolates valid JSON objects from mixed markdown/text LLM outputs using deterministic bracket-matching.
CSV <-> JSON Converter
Flawless data translation. Convert massive CSV files to JSON and back instantly without LLM hallucination or dropped quotes.
TOML Strict Config Parser
A deterministic, dependency-free parser that transforms TOML strings into structured JSON objects.
Bring your own AI
Change the model, client or framework. Keep JS YAML connected.
-
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 JS YAML.
The practical details behind the request, access and result.
Does the YAML/JSON Converter fix my broken Kubernetes files?
Yes. It does this by converting your YAML to JSON, which is much easier for AI to handle without mistakes. Then it converts it back to YAML with perfect indentation.
Can I use the YAML/JSON Converter for GitHub Actions?
Absolutely. It's great for creating or modifying workflow files because it prevents the whitespace errors that often break CI/CD pipelines.
How does the YAML/JSON Converter handle complex nested data?
It handles deeply nested structures, arrays, and multiline values automatically. It ensures the data stays consistent during the conversion process.
Will the YAML/JSON Converter change my data?
No, it only changes the format. The actual keys, values, and structure remain exactly the same while the whitespace is corrected for YAML.
Is the YAML/JSON Converter good for large YAML files?
Yes, it's specifically designed to handle massive files where human-level indentation tracking becomes difficult for an AI agent.
Does it strip comments from YAML?
Yes, when converting to JSON, comments are lost as JSON does not support them.
How does it help LLMs?
It offloads the formatting logic. The LLM only manipulates the raw JSON data, and the engine handles the strict YAML spacing.
One connection away
Give your agent a direct line to JS YAML.
Connect JS YAML once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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