DefiLlama (DeFi Analytics) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 19 tools to Get All Bridges, Get All Chains Tvl, Get All Pools, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DefiLlama (DeFi Analytics) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The DefiLlama (DeFi Analytics) MCP Server for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 19 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="DefiLlama (DeFi Analytics) Assistant",
instructions=(
"You help users interact with DefiLlama (DeFi Analytics). "
"You have access to 19 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from DefiLlama (DeFi Analytics)"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 19 tools from DefiLlama (DeFi Analytics) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DefiLlama (DeFi Analytics), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK
When OpenAI Agents SDK 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 all bridges on DefiLlama (DeFi Analytics)
Get all bridges
Get all chains tvl on DefiLlama (DeFi Analytics)
Get current TVL for all chains
Get all pools on DefiLlama (DeFi Analytics)
Get current APY and TVL for all pools
Get all stablecoins on DefiLlama (DeFi Analytics)
Get all stablecoins
Get bridge volume chain on DefiLlama (DeFi Analytics)
Get bridge volume for a specific chain
Get current prices on DefiLlama (DeFi Analytics)
Format: {chain}:{address} Get the current price of tokens
Get current tvl chain on DefiLlama (DeFi Analytics)
Get the current total TVL for a specific chain
Get dex volume chain on DefiLlama (DeFi Analytics)
Get DEX volume for a specific chain
Get dex volumes global on DefiLlama (DeFi Analytics)
Get DEX volumes globally
Get historical prices on DefiLlama (DeFi Analytics)
Get the price of tokens at a specific timestamp
Get historical tvl chain on DefiLlama (DeFi Analytics)
Get historical TVL for a specific blockchain
Get historical tvl global on DefiLlama (DeFi Analytics)
Get historical TVL of the entire DeFi ecosystem
Get percentage change on DefiLlama (DeFi Analytics)
Get the price change over a period
Get pool historical data on DefiLlama (DeFi Analytics)
Get historical APY and TVL for a specific pool
Get price chart on DefiLlama (DeFi Analytics)
Get a chart of token prices over time
Get protocol on DefiLlama (DeFi Analytics)
Get historical TVL data for a specific protocol
Get protocols on DefiLlama (DeFi Analytics)
Get all protocols on DefiLlama along with their current TVL
Get stablecoin historical data on DefiLlama (DeFi Analytics)
Get stablecoin historical data
Get stablecoin market cap chain on DefiLlama (DeFi Analytics)
Get stablecoin market cap for a specific chain
Connect DefiLlama (DeFi Analytics) to OpenAI Agents SDK via MCP
Follow these steps to wire DefiLlama (DeFi Analytics) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the DefiLlama (DeFi Analytics) MCP Server
OpenAI Agents SDK provides unique advantages when paired with DefiLlama (DeFi Analytics) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
DefiLlama (DeFi Analytics) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the DefiLlama (DeFi Analytics) MCP Server delivers measurable value.
Automated workflows: build agents that query DefiLlama (DeFi Analytics), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries DefiLlama (DeFi Analytics), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through DefiLlama (DeFi Analytics) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query DefiLlama (DeFi Analytics) to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for DefiLlama (DeFi Analytics) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting DefiLlama (DeFi Analytics) to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
DefiLlama (DeFi Analytics) + OpenAI Agents SDK FAQ
Common questions about integrating DefiLlama (DeFi Analytics) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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