Compatible with every major AI agent and IDE
Add datapoint on Beeminder
Add a new datapoint to a goal
Delete datapoint on Beeminder
Delete a datapoint
Get goal on Beeminder
Get specific goal details
Get goal status on Beeminder
Check the current status of a goal
Get user info on Beeminder
Get Beeminder user profile
List charges on Beeminder
List recent charges/pledges
List datapoints on Beeminder
List datapoints for a goal
List goals on Beeminder
List all active Beeminder goals
Refresh goal on Beeminder
Trigger a refresh for a goal
Update datapoint on Beeminder
Update an existing datapoint
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.
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 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.
Does the integration allow me to create new goals?
Currently, the toolset focuses on managing existing goals (logging data, checking status). Creating new goals with complex 'Yellow Brick Road' configurations must be done on the Beeminder website.
Automated Workflows using Beeminder
Use Beeminder with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Cursor Copilot for goal tracking
Integrate the Beeminder server to handle goal tracking requests natively. It provides the schemas required for ChatGPT and Cursor to manage productivity data.
Seamless habit formation Integration
Add habit formation functionality to your custom chatbots. The Beeminder MCP handles the payload formatting required for ChatGPT and Claude to interface with productivity endpoints.
Beeminder. 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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