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Vinkius

jsonpath-plus Connector for AI agents.

1 live capability

Extract specific data from complex API responses without wasting tokens.

Live agent request jsonpath-plus / Connector

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AI Agent

Why people use jsonpath-plus

JSON Path Query Engine for Precise API Data Extraction

This Connector changes that by letting your agent act as a filter. You provide the raw data and a simple path, and it hands your agent the exact values it needs. You get clean, usable data and a much lower token bill.

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

What Vinkius changes

You get the exact data you need without wasting tokens on the rest of the payload.

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

One account · 6,100+ Connectors

  1. Real-world use case 01

    Parsing a massive e-commerce order list

    A user wants to find the total price of all shipped items in a 2,000 item JSON.

  2. Real-world use case 02

    Cleaning up a messy social media API

    An app developer needs to pull only the author name and post ID from a huge nested response.

  3. Real-world use case 03

    Extracting user IDs from a batch log

    A dev needs to find every user ID that triggered an error in a massive JSON log file.

Complete set · 1capability

The complete jsonpath-plus capability set.

These are the exact actions your AI can choose when you ask it to work with jsonpath-plus.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through jsonpath-plus.

  1. 01 Capability

    Query json

    Pass a raw JSON string and a JSONPath expression to get all matching values. This lets your agent ignore the noise of a massive payload.

Set up in minutes

One URL. Then ask jsonpath-plus to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use jsonpath-plus 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_7ADZSAEroKeClWEoBvRdlik7U3hNBE0F8Tuzb007/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-plus, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable jsonpath-plus for the conversation.

Where the request belongs

Work jsonpath-plus can move forward.

Built around the request

This is for the backend engineer who's tired of their AI getting confused by massive API responses or the data scientist trying to keep token costs down while processing large datasets.

01

Backend Engineer

Extracts specific values from complex microservice responses to feed into downstream logic.

02

Data Analyst

Pulls specific nested fields from large JSON exports for quick summary generation.

03

API Integrator

Cleans up messy third-party data before passing it to an AI client.

Bring your own AI

Change the model, client or framework. Keep jsonpath-plus 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-plus.

The practical details behind the request, access and result.

How does the JSON Path Query Engine help with token limits?

It extracts only the specific fields you need, which significantly reduces the amount of text sent to your AI client. This allows you to process much larger datasets without hitting context limits.

Can I use it for very large API responses?

Yes, it's designed to handle massive payloads by surgically pulling out data points instead of processing the whole file. This makes it ideal for high-volume data tasks.

Does the JSON Path Query Engine support complex nested paths?

It supports full JSONPath syntax, so you can grab deep nested values or filter arrays easily. You can target specific keys deep within a complex object structure.

Will this make my AI agent more accurate?

Yes, because the agent won't get distracted by irrelevant data in a large JSON object, it's less likely to hallucinate or misinterpret which values belong to which keys.

Is the JSON Path Query Engine good for data cleaning?

It's excellent for the extraction phase of data cleaning. By pulling out only the relevant fields from messy sources, you provide the AI with a clean, structured input.

How do I provide the query to the agent?

You just give your agent the raw JSON and the path you want to follow, such as '$.items[0].price'. The agent then uses the Connector to return only that specific data.

What JSONPath syntax is supported?

Full JSONPath Plus: root ($), deep scan (..), array indexing, filters, and recursive descent.

One connection away

Give your agent a direct line to jsonpath-plus.

Connect jsonpath-plus once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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