JSON5 Resilient Parser Connector for AI agents.
1 live capability
Fix broken LLM JSON outputs and configuration files instantly.
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Why people use JSON5 Resilient Parser
JSON5 Resilient Parser for Fixing Broken LLM JSON
With this Connector, you just pass the raw output to your agent. It runs the parser, strips the junk, and gives you a valid file instantly. You stop debugging syntax and start using the data.
What Vinkius changes
You get usable data from imperfect AI outputs without writing extra code.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Fixing broken configs
A developer gets a config file from an LLM that has comments but fails to load.
- Real-world use case 02
Cleaning data batches
A data pipeline is failing because the AI-generated data has trailing commas.
- Real-world use case 03
Converting human-readable files
A user wants to convert a human-written config file with single quotes into a format a web app can read.
Complete set · 1capability
The complete JSON5 Resilient Parser capability set.
These are the exact actions your AI can choose when you ask it to work with JSON5 Resilient Parser.
01
1 capability in this set.
Part of 1 available through JSON5 Resilient Parser.
- 01 Capability
Parse json5
Take a messy JSON5 string and turn it into valid JSON. It fixes common errors like trailing commas and single quotes automatically.
Set up in minutes
One URL. Then ask JSON5 Resilient Parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use JSON5 Resilient 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_ipuPbcyZFLzpHTIX4HAe9NmAw6sUUhJhrkFNUBqr/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 JSON5 Resilient Parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable JSON5 Resilient Parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ipuPbcyZFLzpHTIX4HAe9NmAw6sUUhJhrkFNUBqr/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 JSON5 Resilient Parser URL.
- Step 03
Save and start
Save the connection and enable JSON5 Resilient Parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"json5-resilient-parser": {
"url": "https://edge.vinkius.com/vk_preview_ipuPbcyZFLzpHTIX4HAe9NmAw6sUUhJhrkFNUBqr/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 JSON5 Resilient Parser
Open Agent mode in chat and ask: "Using JSON5 Resilient Parser, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"json5-resilient-parser": {
"url": "https://edge.vinkius.com/vk_preview_ipuPbcyZFLzpHTIX4HAe9NmAw6sUUhJhrkFNUBqr/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 JSON5 Resilient Parser
Ask Copilot: "Using JSON5 Resilient Parser, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"json5-resilient-parser": {
"url": "https://edge.vinkius.com/vk_preview_ipuPbcyZFLzpHTIX4HAe9NmAw6sUUhJhrkFNUBqr/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 JSON5 Resilient Parser
Open Cascade and ask: "Using JSON5 Resilient Parser, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"json5-resilient-parser": {
"url": "https://edge.vinkius.com/vk_preview_ipuPbcyZFLzpHTIX4HAe9NmAw6sUUhJhrkFNUBqr/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 JSON5 Resilient Parser
Ask Cline: "Using JSON5 Resilient Parser, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add json5-resilient-parser --transport http "https://edge.vinkius.com/vk_preview_ipuPbcyZFLzpHTIX4HAe9NmAw6sUUhJhrkFNUBqr/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 JSON5 Resilient Parser
Ask Claude: "Using JSON5 Resilient Parser, show me...". 1 tools are ready
Where the request belongs
Work JSON5 can move forward.
This is for developers and engineers who are tired of their pipelines breaking because an AI model forgot to close a quote or added a comment it wasn't supposed to.
DevOps Engineer
Fixes AI-generated Kubernetes or Terraform configs that keep failing validation checks.
Data Scientist
Cleans up messy data exports from LLMs to prepare them for production databases.
Backend Developer
Builds capabilities that consume AI-generated settings and needs a reliable way to parse them.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
JSON Schema Validator and Flattener
Strictly validate JSON against schemas and flatten nested structures using dot notation.
JSON Payload Depth and Size Limiter
Validate JSON payloads against strict nesting depth and byte size constraints to prevent parser crashes.
LLM Output JSON Extractor
Isolates valid JSON objects from mixed markdown/text LLM outputs using deterministic bracket-matching.
TOML Strict Config Parser
A deterministic, dependency-free parser that transforms TOML strings into structured JSON objects.
JSONL Strict Parser
Robustly parse JSON Lines (.jsonl) strings into structured objects while isolating malformed lines.
JSON Schema Strict Validator
Perform deterministic JSON validation against Draft-07 and 2020-12 schemas with strict property enforcement.
Bring your own AI
Change the model, client or framework. Keep JSON5 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 JSON5.
The practical details behind the request, access and result.
What is the JSON5 Resilient Parser?
It's a capability that takes messy, 'broken' JSON—like the kind often produced by AI—and turns it into valid JSON that your code can actually use.
Does the JSON5 Resilient Parser handle comments?
Yes, it automatically strips out both single-line and block comments so they don't cause errors in your data pipeline.
Can the JSON5 Resilient Parser fix single quotes?
It does. It converts single quotes to double quotes automatically to meet strict JSON standards.
Is the JSON5 Resilient Parser good for LLM outputs?
It's specifically designed for that. It handles the common syntax slips that AI models make when generating structured data.
How does the JSON5 Resilient Parser help my workflow?
It stops your app from crashing when an AI makes a small syntax mistake. You get usable data immediately without manual cleaning.
Will the JSON5 Resilient Parser work with any JSON?
It works with any JSON5-compliant string, which includes standard JSON plus the extra 'messy' features like comments and trailing commas.
What makes this different from JSON.parse()?
JSON.parse() rejects trailing commas, comments, single quotes, and unquoted keys. JSON5 accepts all of these and outputs strict RFC 8259 JSON.
Does it support JavaScript-style comments?
Yes. Both single-line (//) and multi-line (/* */) comments are supported and stripped from the output.
Can it handle unquoted object keys?
Yes. {name: 'Alice'} is valid JSON5 and will be converted to {"name": "Alice"} in the strict output.
One connection away
Give your agent a direct line to JSON5.
Connect JSON5 once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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