How to Use the Amberdata (Digital Asset & Crypto Market Data API) MCP in LlamaIndex

Q: Can I filter which Amberdata tools my LlamaIndex agent can use?

Yes. When you create the McpToolSpec, you can pass an allowedtools list. This lets you restrict an agent to only use specific functions, like only allowing it to read spot market data but not futures or options.

Q: What kind of options data can I get?

You get the critical data points. The getoptionstickers tool provides tickers that include the Greeks and Implied Volatility. You can also get aggregated OHLCV with getoptionsohlcv or tick-by-tick trades with getoptionstrades.

Index live crypto market data with LlamaIndex, building a searchable knowledge base from real-time on-chain and off-chain events.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Amberdata (Digital Asset & Crypto Market Data API) MCP to LlamaIndex

Create your Vinkius account to connect Amberdata (Digital Asset & Crypto Market Data API) 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.

GDPR Free for Subscribers

Setup Amberdata (Digital Asset & Crypto Market Data API) with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Turn Market Data into Knowledge

Don't just fetch data; index it. Use the Amberdata tools to pull historical spot trades with `get_spot_trades` or OHLCV data with `get_spot_ohlcv`. LlamaIndex takes these results and embeds them into a vector index your agent can query later. This means the next time your agent needs to know about trading patterns on a specific day, it queries its own knowledge base first. You get faster, cheaper answers grounded in data you've already pulled and stored.

Query Your On-Chain History

Build a private, searchable history of any wallet address. Have your agent periodically call `get_address_token_transfers` and `get_address_balances_latest`, then let LlamaIndex handle the indexing. This turns raw transaction logs into a queryable database. Now you can ask your agent natural language questions like, "When did this wallet first acquire ETH?" or "What was its largest outbound transfer last month?" The answers come from the indexed data provided by this MCP server, not a generic model.

Ground Your LlamaIndex Agent in Facts

Stop agent hallucinations by anchoring its responses in hard numbers. When your agent needs a benchmark price, it calls `get_spot_reference_rates` for a SOC-compliant rate. For network health, it uses `get_blockchain_metrics_latest`. LlamaIndex uses the output of these MCP tool calls as the authoritative context for its answers. When you ask about the current price of Bitcoin, the agent's response is directly shaped by the real-time reference rate it just fetched.

Setup guide

Set up Amberdata (Digital Asset & Crypto Market Data API) 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 Amberdata (Digital Asset & Crypto Market Data API) 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 Amberdata (Digital Asset & Crypto Market Data API) tools.",
)
response = await agent.run("List recent Amberdata (Digital Asset & Crypto Market Data API) data")

Get your connection token →

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Amberdata (Digital Asset & Crypto Market Data API) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Amberdata (Digital Asset & Crypto Market Data API) MCP in LlamaIndex

It's a perfect fit. You use the Amberdata tools to perform the 'Retrieval' step, pulling in fresh, live market data. LlamaIndex then 'Augments' your prompt with this data before sending it to the LLM for 'Generation', ensuring the answer is based on current reality.

Yes. When you create the `McpToolSpec`, you can pass an `allowed_tools` list. This lets you restrict an agent to only use specific functions, like only allowing it to read spot market data but not futures or options.

Create an agent that monitors a specific crypto wallet. Have it run on a schedule, calling `get_address_token_transfers` and indexing the new results. Then, build a simple UI where you can ask questions about that wallet's transaction history.

You get the critical data points. The `get_options_tickers` tool provides tickers that include the Greeks and Implied Volatility. You can also get aggregated OHLCV with `get_options_ohlcv` or tick-by-tick trades with `get_options_trades`.

Yes. This server only accesses public blockchain data—think transaction histories and market prices, never private keys or PII. Vinkius isolates every MCP server call in its own ephemeral environment, so your queries and the indexed data are walled off.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript