How to Use the CoinLore MCP in OpenAI Agents SDK

Plug CoinLore into your OpenAI Agents SDK setup to pull live crypto market data directly into your production agent workflows.

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Connect CoinLore MCP to OpenAI Agents SDK

Create your Vinkius account to connect CoinLore 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.

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Setup CoinLore with OpenAI Agents SDK

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Fetch market data for OpenAI Agents SDK

Your agent pulls live price feeds and market stats using `get_ticker` or `get_global_stats`. It skips the manual lookup and grabs the raw numbers for your agent's decision-making logic. Since you use the OpenAI Agents SDK, your agent validates these numbers against your defined guardrails. It prevents bad data from ever hitting your production business logic.

Analyze historical trends with OpenAI Agents SDK

Feed 365 days of OHLCV data into your agent via `get_ohlcv` for deep technical analysis. Your agent parses the history to identify patterns without you writing a single line of parsing code. This MCP Server provides the structured input your agent needs to run its internal calculations. You keep the tracing active in your dashboard to see exactly which data points triggered a specific trade decision.

Map exchange liquidity in OpenAI Agents SDK

Direct your agent to find the best liquidity using `get_exchange` or `get_coin_markets`. It identifies where a specific asset trades, giving your agent real-time context on where to execute orders. Your OpenAI Agents SDK setup handles the tool discovery automatically. You just point the agent at the endpoint, and it knows how to query the exchange data immediately.

Setup guide

Set up CoinLore MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all CoinLore tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives CoinLore tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CoinLore tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="CoinLore Agent",
            instructions="You have access to CoinLore tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about CoinLore MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object with your endpoint URL. Pass this server into your agent constructor via the mcp_servers list to enable auto-discovery.

Yes, every tool response is passed through your agent's validation layer. If the CoinLore data fails your schema checks, the agent rejects it before execution.

You should set cacheToolsList to True in your configuration. This stops the agent from re-querying the server schema on every single turn.

Absolutely. You wrap the connection in an async context manager. This ensures your agent stays responsive while waiting for market data.

The server transmits public cryptocurrency metadata and market statistics. We keep your traffic isolated in our sandbox so no credentials leak.

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OpenAI Agents SDK sdk-python