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DefiLlama (DeFi Analytics) MCP Server

Bring Defi
to CrewAI

Learn how to connect DefiLlama (DeFi Analytics) to CrewAI and start using 19 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector 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

Compatible with every major AI agent and IDE

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DefiLlama (DeFi Analytics)

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

  1. Subscribe to this server
  2. (Optional) Enter your DefiLlama API Key if you have a pro account, or leave blank for public access
  3. 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 CrewAI?

When paired with CrewAI, DefiLlama (DeFi Analytics) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call DefiLlama (DeFi Analytics) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

  • Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

  • CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the mcps parameter and agents auto-discover every available tool at runtime

  • Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

  • Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

See it in action

DefiLlama (DeFi Analytics) in CrewAI

AI AgentVinkius
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 CrewAI 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 catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

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

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 CrewAI 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.

DefiLlama (DeFi Analytics)
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 CrewAI

Every tool call from CrewAI 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

01

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.

02

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.

03

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.

04

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

05

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

06

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

07

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

08

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

09

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

10

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

11

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

12

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

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