Bring Defi
to Pydantic AI
Learn how to connect DefiLlama (DeFi Analytics) to Pydantic AI and start using 19 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the DefiLlama (DeFi Analytics) MCP Server?
Connect your AI agent to DefiLlama, the leading aggregator for decentralized finance data. This server allows you to query real-time and historical metrics across the entire DeFi ecosystem through natural conversation.
What you can do
- TVL Analytics — Track Total Value Locked (TVL) for specific protocols, individual chains, or the global DeFi market.
- Token Pricing — Retrieve current and historical prices, generate price charts, and calculate percentage changes for thousands of tokens.
- Yield & Pools — Monitor APY and TVL for liquidity pools to identify the best yield farming opportunities.
- Volume & Liquidity — Analyze DEX volumes, bridge activity, and stablecoin market caps across different ecosystems.
- Historical Deep-Dives — Access time-series data to understand market trends and protocol growth over time.
How it works
- Subscribe to this server
- (Optional) Enter your DefiLlama API Key if you have a pro account, or leave blank for public access
- Start analyzing the DeFi markets directly from your AI client
Who is this for?
- Crypto Analysts — perform deep on-chain research and protocol comparisons without manual data scraping
- DeFi Developers — integrate real-time price and TVL data into your development workflow
- Portfolio Managers — track market trends and yield opportunities across multiple chains instantly
Built-in capabilities (19)
Get all bridges
Get current TVL for all chains
Get current APY and TVL for all pools
Get all stablecoins
Get bridge volume for a specific chain
Format: {chain}:{address} Get the current price of tokens
Get the current total TVL for a specific chain
Get DEX volume for a specific chain
Get DEX volumes globally
Get the price of tokens at a specific timestamp
Get historical TVL for a specific blockchain
Get historical TVL of the entire DeFi ecosystem
Get the price change over a period
Get historical APY and TVL for a specific pool
Get a chart of token prices over time
Get historical TVL data for a specific protocol
Get all protocols on DefiLlama along with their current TVL
Get stablecoin historical data
Get stablecoin market cap for a specific chain
Why Pydantic AI?
Pydantic AI validates every DefiLlama (DeFi Analytics) tool response against typed schemas, catching data inconsistencies at build time. Connect 19 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your DefiLlama (DeFi Analytics) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your DefiLlama (DeFi Analytics) connection logic from agent behavior for testable, maintainable code
DefiLlama (DeFi Analytics) in Pydantic AI
DefiLlama (DeFi Analytics) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect DefiLlama (DeFi Analytics) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for DefiLlama (DeFi Analytics) in Pydantic AI
The DefiLlama (DeFi Analytics) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 19 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
DefiLlama (DeFi Analytics) for Pydantic AI
Every tool call from Pydantic AI to the DefiLlama (DeFi Analytics) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I check the current TVL of a specific blockchain like Ethereum or Solana?
You can use the get_current_tvl_chain tool by providing the chain name. The agent will return the total value locked in USD for that specific network immediately.
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.
How do I find the highest yielding liquidity pools available?
The get_all_pools tool retrieves current APY and TVL data for all tracked pools. Your agent can then filter and sort these to find the best opportunities based on your criteria.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your DefiLlama (DeFi Analytics) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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