LlamaIndexFramework

DefiLlama (DeFi Analytics) MCP Server

Bring Defi
to LlamaIndex

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

Learn how to connect DefiLlama (DeFi Analytics) to LlamaIndex 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 Subscribers

Get All BridgesGet All Chains TvlGet All PoolsGet All StablecoinsGet Bridge Volume ChainGet Current PricesGet Current Tvl ChainGet Dex Volume ChainGet Dex Volumes GlobalGet Historical PricesGet Historical Tvl ChainGet Historical Tvl GlobalGet Percentage ChangeGet Pool Historical DataGet Price ChartGet ProtocolGet ProtocolsGet Stablecoin Historical DataGet Stablecoin Market Cap Chain

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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 all bridges

get_all_chains_tvl

Get current TVL for all chains

get_all_pools

Get current APY and TVL for all pools

get_all_stablecoins

Get all stablecoins

get_bridge_volume_chain

Get bridge volume for a specific chain

get_current_prices

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

get_current_tvl_chain

Get the current total TVL for a specific chain

get_dex_volume_chain

Get DEX volume for a specific chain

get_dex_volumes_global

Get DEX volumes globally

get_historical_prices

Get the price of tokens at a specific timestamp

get_historical_tvl_chain

Get historical TVL for a specific blockchain

get_historical_tvl_global

Get historical TVL of the entire DeFi ecosystem

get_percentage_change

Get the price change over a period

get_pool_historical_data

Get historical APY and TVL for a specific pool

get_price_chart

Get a chart of token prices over time

get_protocol

Get historical TVL data for a specific protocol

get_protocols

Get all protocols on DefiLlama along with their current TVL

get_stablecoin_historical_data

Get stablecoin historical data

get_stablecoin_market_cap_chain

Get stablecoin market cap for a specific chain

Why LlamaIndex?

LlamaIndex agents combine DefiLlama (DeFi Analytics) tool responses with indexed documents for comprehensive, grounded answers. Connect 19 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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Data-first architecture: LlamaIndex agents combine DefiLlama (DeFi Analytics) tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain DefiLlama (DeFi Analytics) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query DefiLlama (DeFi Analytics), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what DefiLlama (DeFi Analytics) tools were called, what data was returned, and how it influenced the final answer

See it in action

DefiLlama (DeFi Analytics) in LlamaIndex

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

DefiLlama (DeFi Analytics) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect DefiLlama (DeFi Analytics) to LlamaIndex 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	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

Unlock for AI Agents View step-by-step setup guide for LlamaIndex →

Enterprise Security

Why teams choose Vinkius for DefiLlama (DeFi Analytics) in LlamaIndex

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 LlamaIndex 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.

Unlock for AI Agents View full DefiLlama (DeFi Analytics) details →

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

The Vinkius Advantage

How Vinkius secures
DefiLlama (DeFi Analytics) for LlamaIndex

Every tool call from LlamaIndex to the DefiLlama (DeFi Analytics) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

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 LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query DefiLlama (DeFi Analytics) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.