Compatible with every major AI agent and IDE
Add comment on Fibery
Add a comment to an entity
Create entity on Fibery
Create a new entity in a specific database
Delete entity on Fibery
Delete an entity
Get comments on Fibery
Retrieve comments for a specific entity
Get entity on Fibery
Get a specific entity by its UUID
Get schema on Fibery
Retrieve the full schema of the workspace, including all databases (types) and fields
List apps on Fibery
List all Fibery apps (spaces)
List users on Fibery
List all users in the Fibery workspace
Query entities on Fibery
Query entities from a specific database (type)
Search entities on Fibery
Search for entities by keyword across all databases
Update entity on Fibery
Update an existing entity
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 query custom fields created in my spaces?
Yes! Use the get_schema tool to see the fully qualified names of your custom fields, and then include them in the select_json parameter of the query_entities tool.
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 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.
Fibery Capabilities for AI Assistants
Use Fibery with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Scaling task management via MCP
Add task management functionality to your custom chatbots. The Fibery MCP handles the payload formatting required for ChatGPT and Claude to interface with productivity endpoints.
AI-Driven workflow automation Workflows
The Fibery server supports direct MCP connections for workflow automation. This provides Claude with the required permissions to execute productivity functions.
Fibery. 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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