DefiLlama (DeFi Analytics) MCP Server for Pydantic AIGive Pydantic AI instant access to 19 tools to Get All Bridges, Get All Chains Tvl, Get All Pools, and more

Name: DefiLlama (DeFi Analytics)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect DefiLlama (DeFi Analytics) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The DefiLlama (DeFi Analytics) MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 19 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to DefiLlama (DeFi Analytics) "
            "(19 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in DefiLlama (DeFi Analytics)?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About 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.

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.

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.

The DefiLlama (DeFi Analytics) MCP Server exposes 19 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 19 DefiLlama (DeFi Analytics) tools available for Pydantic AI

When Pydantic AI connects to DefiLlama (DeFi Analytics) through Vinkius, your AI agent gets direct access to every tool listed below — spanning defi, tvl, crypto-prices, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get all bridges on DefiLlama (DeFi Analytics)

Get all bridges

get

Get all chains tvl on DefiLlama (DeFi Analytics)

Get current TVL for all chains

get

Get all pools on DefiLlama (DeFi Analytics)

Get current APY and TVL for all pools

get

Get all stablecoins on DefiLlama (DeFi Analytics)

Get all stablecoins

get

Get bridge volume chain on DefiLlama (DeFi Analytics)

Get bridge volume for a specific chain

get

Get current prices on DefiLlama (DeFi Analytics)

Format: {chain}:{address} Get the current price of tokens

get

Get current tvl chain on DefiLlama (DeFi Analytics)

Get the current total TVL for a specific chain

get

Get dex volume chain on DefiLlama (DeFi Analytics)

Get DEX volume for a specific chain

get

Get dex volumes global on DefiLlama (DeFi Analytics)

Get DEX volumes globally

get

Get historical prices on DefiLlama (DeFi Analytics)

Get the price of tokens at a specific timestamp

get

Get historical tvl chain on DefiLlama (DeFi Analytics)

Get historical TVL for a specific blockchain

get

Get historical tvl global on DefiLlama (DeFi Analytics)

Get historical TVL of the entire DeFi ecosystem

get

Get percentage change on DefiLlama (DeFi Analytics)

Get the price change over a period

get

Get pool historical data on DefiLlama (DeFi Analytics)

Get historical APY and TVL for a specific pool

get

Get price chart on DefiLlama (DeFi Analytics)

Get a chart of token prices over time

get

Get protocol on DefiLlama (DeFi Analytics)

Get historical TVL data for a specific protocol

get

Get protocols on DefiLlama (DeFi Analytics)

Get all protocols on DefiLlama along with their current TVL

get

Get stablecoin historical data on DefiLlama (DeFi Analytics)

Get stablecoin historical data

get

Get stablecoin market cap chain on DefiLlama (DeFi Analytics)

Get stablecoin market cap for a specific chain

Connect DefiLlama (DeFi Analytics) to Pydantic AI via MCP

Follow these steps to wire DefiLlama (DeFi Analytics) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 19 tools from DefiLlama (DeFi Analytics) with type-safe schemas

Why Use Pydantic AI with the DefiLlama (DeFi Analytics) MCP Server

Pydantic AI provides unique advantages when paired with DefiLlama (DeFi Analytics) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your DefiLlama (DeFi Analytics) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your DefiLlama (DeFi Analytics) connection logic from agent behavior for testable, maintainable code

DefiLlama (DeFi Analytics) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the DefiLlama (DeFi Analytics) MCP Server delivers measurable value.

Type-safe data pipelines: query DefiLlama (DeFi Analytics) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple DefiLlama (DeFi Analytics) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query DefiLlama (DeFi Analytics) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock DefiLlama (DeFi Analytics) responses and write comprehensive agent tests

Example Prompts for DefiLlama (DeFi Analytics) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with DefiLlama (DeFi Analytics) immediately.

"List all DeFi protocols and their current TVL."

"What is the current TVL on the Arbitrum chain?"

"Show me the price chart for USDC on Ethereum."

Troubleshooting DefiLlama (DeFi Analytics) MCP Server with Pydantic AI

Common issues when connecting DefiLlama (DeFi Analytics) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

DefiLlama (DeFi Analytics) + Pydantic AI FAQ

Common questions about integrating DefiLlama (DeFi Analytics) MCP Server with Pydantic AI.

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.