How to Use the Bitstamp MCP in LlamaIndex

Index your Bitstamp trade history and market data into LlamaIndex to build a searchable knowledge base of your financial life.

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Connect Bitstamp MCP to LlamaIndex

Create your Vinkius account to connect Bitstamp 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.

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Setup Bitstamp with LlamaIndex

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Turn Bitstamp records into LlamaIndex memory

Run `get_user_transactions` and store the results in your vector index. You can search across months of activity using natural language queries. Instead of digging through CSV files, you ask the agent about your historical performance. It retrieves the context from the index you built.

Ground LlamaIndex answers in Bitstamp data

Connect your index to live API tools to confirm current balances. When you ask about your holdings, the agent queries `get_balance` to ground the response in reality. This prevents the agent from guessing your portfolio status. It relies on the actual numbers returned by the server.

Filter Bitstamp tools in LlamaIndex pipelines

Use the allowed_tools filter to restrict which actions the agent can perform. You might give it read-only access to `get_ticker` while blocking write operations. This keeps your agent focused on research. You maintain control over what the model can actually change on your account.

Setup guide

Set up Bitstamp MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Bitstamp MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Bitstamp tools.",
)
response = await agent.run("List recent Bitstamp data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bitstamp. 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 Bitstamp MCP in LlamaIndex

It converts the output of tool calls into searchable vectors. You then query these vectors to get answers based on your specific history.

Yes, the agent calls the balance tool to fetch current data. It then summarizes that information based on your request.

You can index ticker snapshots to track how prices changed over time. This makes it easy to compare historical trends against your trades.

Store them in environment variables on your local machine. The tools pull these keys to authenticate without exposing them in your code.

Your transaction history lives in your local vector store. No third-party server ever touches or indexes your private financial records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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