Integrate Craft (Docs & Notes) with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiAppend block on Craft (Docs & Notes)
Perform structural injection of properties driving new Blocks
Create document on Craft (Docs & Notes)
Provision a highly-available JSON Payload generating new Document rows
Delete document on Craft (Docs & Notes)
Irreversibly vaporize explicit App nodes dropping live Document rows
Get daily note on Craft (Docs & Notes)
Retrieve elaborate explicit mapping properties limiting Daily Pages
Get document on Craft (Docs & Notes)
Retrieve explicit UX logging tracing explicit Document IDs limitlessly
List blocks on Craft (Docs & Notes)
Enumerate explicitly attached structured rules exporting active Blocks
List documents on Craft (Docs & Notes)
Identify bounded routing spaces inside the Craft workspace
List tasks on Craft (Docs & Notes)
Gather comprehensive mapped checklists limiting cross-workspace Tasks
Search documents on Craft (Docs & Notes)
Execute static listing mapping structural Text queries via Search
Update document on Craft (Docs & Notes)
Mutate global Web Context boundaries substituting explicit Document values
Security & Code Integrity Audit
Every tool in the Craft (Docs & Notes) 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.
How Vinkius protects your data
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 happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How do I retrieve my task list across all my Craft documents?
Use the 'list_tasks' tool. Your agent will sweep through your workspace configurations and request absolute arrays isolating all Task nodes, allowing you to see all pending items in one view.
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.
How Chatbots Interact with Craft (Docs & Notes)
We map standard API endpoints to agent-compatible instructions. Connect Craft (Docs & Notes) to execute these core functional operations.
Scaling document editor via MCP
Add Craft (Docs & Notes) to your workspace to support document editor automation. The integration processes the required parameters for productivity execution by LLMs.
AI Semantic Routing for knowledge base
Integrate knowledge base features into your LLM framework using Craft (Docs & Notes). The MCP server ensures precise command execution across your productivity stack.
Craft (Docs & Notes). 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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