How does this MCP handle conversational filler?

It uses deterministic regex patterns to find the specific fields you requested, effectively ignoring any extra text the model included.

Which AI clients can use this MCP?

You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

Can I check if my schema is correct?

Yes, you can use the validate_schema_integrity capability to ensure your schema is logically sound before you run extractions.

How do I know if the extraction worked?

You can use the get_extraction_summary capability to see a high level overview of the success and reliability of the extraction.

Do I need to host this myself?

No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect.

How does this capability extract data without using an LLM?

The capability uses deterministic regex patterns to locate field names (anchors) and extract the subsequent values based on the expected type (string, number, boolean, or list).

What happens if the LLM response is completely unstructured?

The extract_structured_data capability will attempt to find the requested fields. If the patterns do not match, the fields will be returned in the missingFields list with a low confidence score.

Can I use this with Cursor or Claude Desktop?

Yes. You can connect this MCP server to Cursor, VS Code, Claude Desktop, Windsurf, and any other MCP-compatible client via Vinkius Edge.

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Connect Structured Output Extractor to ChatGPT and Claude

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. Turn messy conversational text into clean, usable data.

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.

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.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Structured Output Extractor.

01
Extract structured data
This capability performs the primary extraction of specific fields from a block of text using your provided schema. It finds the signal within noisy responses.
02
Get extraction summary
This capability provides a high level overview of how successful and reliable a specific extraction attempt was.
03
Validate schema integrity
This capability checks if your schema definition is logically sound and follows the necessary naming conventions.

Real work

What teams actually run

JSON Repair

Fixing JSON objects that are broken by extra text or missing brackets.

Data Parsing

Pulling specific entities like names or dates from long, rambling paragraphs.

Pipeline Reliability

Adding a validation step to ensure extracted data meets your application's requirements.

Automated Extraction

Converting unstructured user input into structured database entries.

One connector, every AI

Structured Output Extractor 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.

Building your own app? The connector is yours to use.

You don't need a client to put Structured Output Extractor 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

867ms average. Fast in production.

Structured Output Extractor is checked daily against the live service.

Daily averagePeak 1069ms

Oct 3Today

Fastest day: 747ms
Slowest day: 1069ms
14-day trend: Stable-2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive 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 Structured Output Extractor, so you can see the experience inside your AI.

It does not authenticate your account with Structured Output Extractor. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Structured Output Extractor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_t2JRhUtfAFgS7pSyrQIWZ5Ig2o8n0AmHETaNyAuC/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Structured Output Extractor capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "structured-output-extractor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_t2JRhUtfAFgS7pSyrQIWZ5Ig2o8n0AmHETaNyAuC/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 Structured Output Extractor in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Structured Output Extractor owners hand off.

This MCP is built for developers and data engineers who need reliable data pipelines from LLM outputs.

01
Software Engineers
They hand off messy model responses to the MCP to get clean JSON for their applications.
02
Data Engineers
They use it to parse unstructured text into structured formats for databases.
03
AI Agents Developers
They use it to ensure their agents can reliably pass data between different capabilities.

FAQ

Questions Structured Output Extractor owners ask.

01
How does this MCP handle conversational filler?
It uses deterministic regex patterns to find the specific fields you requested, effectively ignoring any extra text the model included.
02
Which AI clients can use this MCP?
You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
03
Can I check if my schema is correct?
Yes, you can use the validate_schema_integrity capability to ensure your schema is logically sound before you run extractions.
04
How do I know if the extraction worked?
You can use the get_extraction_summary capability to see a high level overview of the success and reliability of the extraction.
05
Do I need to host this myself?
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect.
06
How does this capability extract data without using an LLM?
The capability uses deterministic regex patterns to locate field names (anchors) and extract the subsequent values based on the expected type (string, number, boolean, or list).
07
What happens if the LLM response is completely unstructured?
The extract_structured_data capability will attempt to find the requested fields. If the patterns do not match, the fields will be returned in the missingFields list with a low confidence score.
08
Can I use this with Cursor or Claude Desktop?
Yes. You can connect this MCP server to Cursor, VS Code, Claude Desktop, Windsurf, and any other MCP-compatible client via Vinkius Edge.

Explore

More in Data Extraction

Connect Structured Output Extractor to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Extract structured data

Get extraction summary

Validate schema integrity

What teams actually run

JSON Repair

Data Parsing

Pipeline Reliability

Automated Extraction

Building your own app? The connector is yours to use.

Structured Output Extractor Connector

Claude Desktop

Software Engineers

Data Engineers

AI Agents Developers

How does this MCP handle conversational filler?

Which AI clients can use this MCP?

Can I check if my schema is correct?

How do I know if the extraction worked?

Do I need to host this myself?

How does this capability extract data without using an LLM?

What happens if the LLM response is completely unstructured?

Can I use this with Cursor or Claude Desktop?

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