Compatible with every major AI agent and IDE
Get indices on Doofinder
Identify precise active arrays spanning native Gateway auth
Get items on Doofinder
Inspect deep internal arrays mitigating specific Plan Math
Get search engines on Doofinder
Dispatch an automated validation check routing explicit Gateway history
Get stats on Doofinder
Identify precise active arrays spanning native Hold parsing
Search custom on Doofinder
Irreversibly vaporize explicit validations extracting rich Churn flags
Search filtered on Doofinder
]` bounding exactly custom limits cutting off unrelated SKU branches. Perform structural extraction of properties driving active Account logic
Search keyword on Doofinder
Identify bounded CRM records inside the Headless Doofinder Platform
Search pagination on Doofinder
Retrieve explicit Cloud logging tracing explicit Vault limits
Search sorted on Doofinder
Provision a highly-available JSON Payload generating hard Customer bindings
Suggest on Doofinder
Enumerate explicitly attached structured rules exporting active Billing
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can my agent perform filtered searches using specific product attributes?
Yes. Use the 'search_filtered' tool. You can specify the 'filter_name' (e.g., 'brand', 'color') and the 'filter_value'. The agent will analyze the global bounds and return results restricted strictly to those custom limits.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Supported Use Cases for Doofinder
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Doofinder infrastructure.
Streamlining site search
Connect Doofinder to your AI agents (Claude, ChatGPT, Cursor) to manage site search operations. The MCP server processes the underlying API requests and schema formatting for the ecommerce domain.
Next-Gen search analytics Operations
The Doofinder server exposes documented endpoints for search analytics. This allows ChatGPT and Cursor to interact with ecommerce APIs seamlessly.
Doofinder. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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