Compatible with every major AI agent and IDE
Calculate tf idf on TF-IDF Vectorizer Engine
Calculates the exact TF-IDF scores for an array of terms across an array of documents
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 the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Can it process JSON document arrays?
Yes, just provide a stringified JSON array of text documents and a target array of terms. The engine handles the corpus building and tokenization.
Triggering TF-IDF Vectorizer Engine via Natural Language
Securely interface Claude Code, ChatGPT, and Cursor with the TF-IDF Vectorizer Engine API through semantic routing and standardized natural language triggers.
Mastering nlp with Agents
The TF-IDF Vectorizer Engine server supports direct MCP connections for nlp. This provides Claude with the required permissions to execute developer tools functions.
Optimizing text analysis with Claude
Connect your AI agent to TF-IDF Vectorizer Engine for comprehensive text analysis coverage. The integration features standard schemas for reliable developer tools tool execution.
TF-IDF Vectorizer Engine. 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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