Compatible with every major AI agent and IDE
Delete rows on Coda
Delete one or more rows from a Coda table
Get doc details on Coda
Retrieve detailed information about a specific Coda document
Get formula value on Coda
Retrieve the current calculated value of a named formula
Insert rows on Coda
Insert new rows into a Coda table
List columns on Coda
Retrieve a list of columns in a Coda table
List docs on Coda
Retrieve a list of Coda documents available to you
List formulas on Coda
Retrieve a list of named formulas in a Coda document
List rows on Coda
Retrieve rows from a specific table in a Coda document
List tables on Coda
Retrieve a list of tables within a specific Coda document
Update row on Coda
Update an existing row in a Coda table
How Vinkius protects your data
How do I find my doc and table IDs?
You can find IDs in the document's URL, or use the 'list_docs' and 'list_tables' tools to discover them.
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.
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.
Coda Capabilities for AI Assistants
Use Coda with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Scaling collaborative docs via MCP
Use the Coda server to execute collaborative docs operations from your AI agent. The protocol manages state and authentication for continuous productivity workflows.
Cursor Copilot for table management
Connect Coda to provide your chatbots with table management capabilities. The integration manages the backend execution for productivity workflows.
Coda. 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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