Compatible with every major AI agent and IDE
St.analytics top clicks on Swiftype
Identify precise active arrays spanning native Hold parsing
St.analytics top searches on Swiftype
Inspect deep internal arrays mitigating specific Plan Math
St.create documents on Swiftype
Enumerate explicitly attached structured rules exporting active Billing
St.delete documents on Swiftype
json` eliminating cached pages permanently erasing bounds metrics from search. Dispatch an automated validation check routing explicit Gateway history
St.list doc types on Swiftype
json` extracting schema blueprints enforcing exact map types correctly. Retrieve explicit Cloud logging tracing explicit Vault limits
St.list documents on Swiftype
json` dumping all stored metadata physically tracking IDs per document type. Irreversibly vaporize explicit validations extracting rich Churn flags
St.list domains on Swiftype
json` verifying automated crawler limits mapped inside explicit index scopes. Identify precise active arrays spanning native Gateway auth
St.list engines on Swiftype
json` extracting all active isolated Elastic indices bound per tenant. Identify bounded CRM records inside the Headless Swiftype Platform
St.post search on Swiftype
json` firing raw queries into the specific Engine returning faceted JSON hierarchies. Perform structural extraction of properties driving active Account logic
St.post suggest on Swiftype
json` bounding predictive keys and spelling tolerant matches decoupled from main indexing. Provision a highly-available JSON Payload generating hard Customer bindings
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 I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Does it support search analytics like CTR?
Yes. Use st.analytics_top_searches and st.analytics_top_clicks to retrieve real usage data — top queries, click-through rates, and conversion metrics.
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.
Automated Workflows using Swiftype
The Swiftype MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
LLM Orchestration for enterprise search
Build automated workflows involving enterprise search by connecting Swiftype. It provides Claude and ChatGPT with direct API hooks into your developer tools ecosystem.
site search & AI Execution
The Swiftype toolkit provides structured tools for site search. It enables conversational interfaces like Claude Code to query and modify data within your developer tools infrastructure.
Swiftype. 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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