Compatible with every major AI agent and IDE
Get action items on Granola
Extract action items identified from a meeting document
Get content on Granola
Retrieve the full structured content of a meeting document
Get documents batch on Granola
Fetch multiple documents by their IDs in a single request
Get metadata on Granola
Retrieve metadata for a specific meeting document
Get participants on Granola
Retrieve the list of participants for a specific meeting
Get summary on Granola
Retrieve the AI-generated summary of a meeting document
Get transcript on Granola
Retrieve the full transcript of a meeting with speaker detection
List by date on Granola
List meeting documents within a specific date range
List documents on Granola
List all meeting documents in the Granola workspace with pagination
List folders on Granola
List all document lists (folders) in the Granola workspace
List recent on Granola
List the 20 most recent meeting documents
Search documents on Granola
Full-text search across all meeting documents
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I search for meetings from a specific date range through the agent?
Absolutely. Use the 'list_by_date' tool. Provide the start and end dates in ISO 8601 format. The agent will trigger temporal scoping routines to expose specific documents mapped historically.
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.
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.
How Chatbots Interact with Granola
The Granola integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Scaling meeting notes via MCP
Use Granola to interface with meeting notes via natural language. The toolkit provides Cursor with LLM-friendly schemas for productivity tasks.
Cursor Copilot for transcription
Connect the Granola server to enable transcription workflows. The integration provides structured schemas for Claude to mutate productivity data.
Granola. 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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