Compatible with every major AI agent and IDE
Get all bridges on DefiLlama (DeFi Analytics)
Get all bridges
Get all chains tvl on DefiLlama (DeFi Analytics)
Get current TVL for all chains
Get all pools on DefiLlama (DeFi Analytics)
Get current APY and TVL for all pools
Get all stablecoins on DefiLlama (DeFi Analytics)
Get all stablecoins
Get bridge volume chain on DefiLlama (DeFi Analytics)
Get bridge volume for a specific chain
Get current prices on DefiLlama (DeFi Analytics)
Format: {chain}:{address} Get the current price of tokens
Get current tvl chain on DefiLlama (DeFi Analytics)
Get the current total TVL for a specific chain
Get dex volume chain on DefiLlama (DeFi Analytics)
Get DEX volume for a specific chain
Get dex volumes global on DefiLlama (DeFi Analytics)
Get DEX volumes globally
Get historical prices on DefiLlama (DeFi Analytics)
Get the price of tokens at a specific timestamp
Get historical tvl chain on DefiLlama (DeFi Analytics)
Get historical TVL for a specific blockchain
Get historical tvl global on DefiLlama (DeFi Analytics)
Get historical TVL of the entire DeFi ecosystem
Get percentage change on DefiLlama (DeFi Analytics)
Get the price change over a period
Get pool historical data on DefiLlama (DeFi Analytics)
Get historical APY and TVL for a specific pool
Get price chart on DefiLlama (DeFi Analytics)
Get a chart of token prices over time
Get protocol on DefiLlama (DeFi Analytics)
Get historical TVL data for a specific protocol
Get protocols on DefiLlama (DeFi Analytics)
Get all protocols on DefiLlama along with their current TVL
Get stablecoin historical data on DefiLlama (DeFi Analytics)
Get stablecoin historical data
Get stablecoin market cap chain on DefiLlama (DeFi Analytics)
Get stablecoin market cap for a specific chain
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.
Is it possible to see a price chart for a specific token?
Yes! Use the get_price_chart tool with the token's chain and address (e.g., ethereum:0x...). It will provide historical price data points that your agent can use to describe trends.
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 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.
Automated Workflows using DefiLlama (DeFi Analytics)
Add the DefiLlama (DeFi Analytics) tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
LLM Orchestration for defi
The DefiLlama (DeFi Analytics) toolkit enables AI agents to execute defi commands. It handles protocol translation for data analytics integrations natively.
Next-Gen tvl Automation
Integrate DefiLlama (DeFi Analytics) for AI-driven tvl management. The MCP server structures the outputs required for Claude to analyze data analytics data.
DefiLlama (DeFi Analytics). 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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