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Vinkius

JSONPath Query Executor Connector for AI agents.

3 live capabilities

Extract precise values from complex, nested JSON structures.

Live agent request JSONPath Query Executor / Connector

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AI Agent

Why people use JSONPath Query Executor

Stop manual parsing with JSONPath Query Executor

This MCP turns that manual hunt into a precise operation. Your agent simply follows the path you provide and hands you the exact value. No more scrolling through nested objects or worrying about missing a bracket.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get precise data extraction without writing custom parsing logic.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Parsing API Responses

    You receive a massive JSON payload from a weather service and need only the temperature for one city.

  2. Real-world use case 02

    Automating Log Analysis

    An engineer needs to find all error codes in a large log file.

  3. Real-world use case 03

    Validating Webhook Data

    A developer receives a webhook and wants to ensure a specific field exists.

Complete set · 3capabilities

The complete JSONPath Query Executor capability set.

These are the exact actions your AI can choose when you ask it to work with JSONPath Query Executor.

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through JSONPath Query Executor.

  1. 01 Capability

    Execute jsonpath query

    Runs a query against your JSON data to return the exact value you are looking for. It is great for grabbing specific fields from large payloads.

  2. 02 Capability

    Get path complexity metrics

    Calculates how complex a path string is by counting segments and wildcards. This helps you understand the depth of your query.

  3. 03 Capability

    Validate path syntax

    Checks if your JSONPath string follows the correct rules. It prevents errors by catching typos in your path before you run it.

Set up in minutes

One URL. Then ask JSONPath Query Executor to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use JSONPath Query Executor from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_dsjyd3TLNg9QnVxtZ8YwD2faiuvhWLv3rbCKC9Fn/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it JSONPath Query Executor, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable JSONPath Query Executor for the conversation.

Bring your own AI

Change the model, client or framework. Keep JSONPath Query Executor 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 JSONPath Query Executor.

The practical details behind the request, access and result.

How can I use JSONPath Query Executor to find data in my API responses?

You provide the JSON payload and the specific path you want to target, and the MCP returns the exact value found at that location.

Is it safe to use JSONPath Query Executor with untrusted data?

Yes, because it uses a deterministic syntax rather than executing arbitrary code, making it much safer for handling external payloads.

Can I check my queries before running them with JSONPath Query Executor?

Absolutely. You can use the built-in validation feature to ensure your path is syntactically correct before you attempt to execute it against your data.

Does JSONPath Query Executor work with deeply nested arrays?

Yes, it is specifically designed to navigate through complex, multi-layered arrays and objects using standard path notation.

How do I know if my JSONPath query is getting too complicated?

You can use the complexity metrics feature to see how many segments and wildcards are in your path, helping you manage the depth of your queries.

What kind of JSONPath syntax is supported?

The engine supports a simplified, deterministic syntax using dot notation for keys and [*] wildcards for array iteration.

How can I check if my query string is valid?

You can use the validate_path_syntax capability to verify your path before execution.

Is it safe to run queries on large JSON files?

Yes, the execution is deterministic and uses V8 array methods to ensure predictable behavior and prevent security risks.

One connection away

Give your agent a direct line to JSONPath Query Executor.

Connect JSONPath Query Executor once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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