LLM JSON Extractor Connector for AI agents.
3 live capabilities
Turn messy conversational text into structured JSON data
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Why people use LLM JSON Extractor
Stop broken pipelines with LLM JSON Extractor data parsing
With this MCP, that manual cleanup disappears. You just point your agent's output at the extraction capabilities, and you get the clean, raw JSON you actually need. It turns a flaky, text-heavy process into a predictable data stream.
What Vinkius changes
You get clean data without writing custom parsing logic.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Automated Data Entry
An agent reads an email and generates a JSON object.
- Real-world use case 02
Reliable API Integration
When an agent generates a response intended for a web service, use verify_json_integrity to ensure the payload won't cause a 400 error.
- Real-world use case 03
Log Parsing and Analysis
Extract structured event data from unstructured logs generated by an AI monitoring capability using get_extraction_metadata.
Complete set · 3capabilities
The complete LLM JSON Extractor capability set.
These are the exact actions your AI can choose when you ask it to work with LLM JSON Extractor.
01—03
3 capabilities in this set.
Part of 3 available through LLM JSON Extractor.
- 01 Capability
Extract first json payload
Finds and pulls the first valid JSON object or array from a raw string. It ignores all surrounding conversational text.
- 02 Capability
Verify json integrity
Checks if a string is syntactically correct JSON. Use this to prevent errors before processing data.
- 03 Capability
Get extraction metadata
Returns the exact location and length of the found JSON. This helps you track where the data sits in the original text.
Set up in minutes
One URL. Then ask LLM JSON Extractor to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use LLM JSON Extractor 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_62eJA3o5DXA8oUAoQR0CKhrDI3irZIkfzd1SOtCb/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 LLM JSON Extractor, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable LLM JSON Extractor for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_62eJA3o5DXA8oUAoQR0CKhrDI3irZIkfzd1SOtCb/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 LLM JSON Extractor URL.
- Step 03
Save and start
Save the connection and enable LLM JSON Extractor in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"llm-json-extractor": {
"url": "https://edge.vinkius.com/vk_preview_62eJA3o5DXA8oUAoQR0CKhrDI3irZIkfzd1SOtCb/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 LLM JSON Extractor
Open Agent mode in chat and ask: "Using LLM JSON Extractor, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"llm-json-extractor": {
"url": "https://edge.vinkius.com/vk_preview_62eJA3o5DXA8oUAoQR0CKhrDI3irZIkfzd1SOtCb/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 LLM JSON Extractor
Ask Copilot: "Using LLM JSON Extractor, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"llm-json-extractor": {
"url": "https://edge.vinkius.com/vk_preview_62eJA3o5DXA8oUAoQR0CKhrDI3irZIkfzd1SOtCb/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 LLM JSON Extractor
Open Cascade and ask: "Using LLM JSON Extractor, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"llm-json-extractor": {
"url": "https://edge.vinkius.com/vk_preview_62eJA3o5DXA8oUAoQR0CKhrDI3irZIkfzd1SOtCb/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 LLM JSON Extractor
Ask Cline: "Using LLM JSON Extractor, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add llm-json-extractor --transport http "https://edge.vinkius.com/vk_preview_62eJA3o5DXA8oUAoQR0CKhrDI3irZIkfzd1SOtCb/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 LLM JSON Extractor
Ask Claude: "Using LLM JSON Extractor, show me...". 3 tools are ready
Where the request belongs
Work LLM JSON Extractor can move forward.
This is for developers and data engineers who are tired of their automation pipelines breaking because an AI decided to be too chatty.
Data Engineer
Cleaning up LLM outputs to populate production databases or data lakes.
Backend Developer
Ensuring API responses from agents don't crash downstream services.
Automation Engineer
Building reliable workflows that bridge the gap between chat and code.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep LLM JSON Extractor connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
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AnythingLLM -
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LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about LLM JSON Extractor.
The practical details behind the request, access and result.
How does LLM JSON Extractor handle conversational text?
It uses deterministic bracket-matching to find the start and end of the JSON object, effectively ignoring any text or markdown that comes before or after it.
Can I use LLM JSON Extractor to validate my data?
Yes, you can use the integrity verification capability to check if a string is syntactically correct before you try to process it in your application.
Will this work with Claude or Cursor?
Yes, as long as your client is MCP-compatible, you can connect this to Claude, Cursor, Windsurf, or VS Code to handle your data extraction.
Does this MCP work with any AI client?
It works with any MCP-compatible client. Once you connect it through Vinkius, your agent can use these capabilities to clean up its own outputs.
How do I know where the JSON is located in a long response?
You can use the metadata capability to get the exact character offsets and length of the extracted payload, making it easy to locate within the original text.
How does the extraction work?
The server uses a scan-based approach with a counter to track opening and closing braces and brackets, ensuring nested structures are fully captured.
Can it handle markdown code blocks?
Yes, the get_extraction_metadata capability can specifically identify if the detected JSON is wrapped in markdown code blocks.
What happens if the JSON is invalid?
The verify_json_integrity capability will return a failure status and a human-readable reason explaining why the syntax is incorrect.
One connection away
Give your agent a direct line to LLM JSON Extractor.
Connect LLM JSON Extractor once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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