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Vinkius

Integrate TF-IDF Vectorizer Engine with Claude, Cursor, Chatbots & AI Agents MCP Server

Exact Term Frequency-Inverse Document Frequency scores. Stop LLMs from guessing keyword relevance across massive corpuses.
MCP Inspector GDPR Free for Subscribers

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
calculate

Calculate tf idf on TF-IDF Vectorizer Engine

Calculates the exact TF-IDF scores for an array of terms across an array of documents

Security & Code Integrity Audit

Every tool in the TF-IDF Vectorizer Engine MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

MCP Inspector
FScore: 3.6

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.

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