Compatible with every major AI agent and IDE
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 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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
DefiLlama (DeFi Analytics) in CrewAI
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.
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 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.

* 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 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.
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 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.
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.
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.
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.
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.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
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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