How to Use the lemon.markets MCP in LlamaIndex
Index live lemon.markets data directly into your LlamaIndex vector store for context-aware European stock trading.
Works with every AI agent you already use
…and any MCP-compatible client
Connect lemon.markets MCP to LlamaIndex
Create your Vinkius account to connect lemon.markets to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Build a searchable knowledge base of your stock positions
LlamaIndex doesn't just run tools; it indexes what they return. When your agent queries `list_active_positions`, the resulting portfolio data is stored in your index so you can run semantic queries over your actual holdings. This means you can ask your agent about your exposure to specific sectors without manually parsing raw JSON. The agent queries your local index first, reducing the need to constantly ping the API.
Ground LlamaIndex trade decisions in real-time quotes
Stop letting your agent trade on old information. By connecting this MCP Server, LlamaIndex pulls live bid/ask prices with `get_latest_quote` to verify execution costs before writing a trade to the ledger. The agent cross-references these fresh quotes with historical data in your vector store. You get trading decisions grounded in actual market numbers, avoiding execution errors from stale data.
Query your lemon.markets order history with RAG
Use LlamaIndex RAG pipelines with this MCP Server to analyze your past trading patterns. The agent retrieves your transaction history via `list_brokerage_orders` and indexes the results, turning your past executions into a searchable dataset. You can ask why a specific trade was made or check if you have any open orders. If an order is stuck, the agent can find it in the index and call `cancel_open_order` to clear the queue.
Set up lemon.markets MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all lemon.markets MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to lemon.markets tools.",
)
response = await agent.run("List recent lemon.markets data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by lemon.markets. 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 lemon.markets MCP in LlamaIndex
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the lemon.markets MCP today
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