How to Use the CoinGecko MCP in OpenAI Agents SDK
Build production agents with OpenAI Agents SDK and real-time crypto data from CoinGecko.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CoinGecko MCP to OpenAI Agents SDK
Create your Vinkius account to connect CoinGecko to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Pull live market data into OpenAI Agents SDK
Call `get_price` or `get_global_data` to feed your agent current market snapshots. The tools hook directly into your agent constructor via `mcp_servers`. Your agent gets accurate numbers without manual scraping. Just set `cacheToolsList=True` to keep your production pipeline fast.
Search and filter assets within your agent
Use `search_crypto` to let your agent find specific tokens by name. The tool returns structured data the agent can parse immediately. It handles the lookup logic so your agent focuses on decision-making. You define the safety constraints in your Python code, and the agent acts based on the filtered results.
Analyze trends using the CoinGecko MCP Server
Fetch the latest trending coins with `get_trending` to keep your agent informed. This keeps your bot updated on market sentiment without extra code. Everything traces back to the OpenAI dashboard. You see exactly when your agent triggers these tools to fetch external data.
Set up CoinGecko MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all CoinGecko tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives CoinGecko tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate CoinGecko tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="CoinGecko Agent",
instructions="You have access to CoinGecko tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CoinGecko. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about CoinGecko MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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Start using the CoinGecko MCP today
We host it, we monitor it, we maintain it. You just paste one token.