TarotAPI MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TarotAPI as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to TarotAPI. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in TarotAPI?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About TarotAPI MCP Server
Connect TarotAPI to any AI agent and access the complete 78-card tarot deck with detailed meanings, keywords, fortune telling interpretations, and card imagery through natural language.
LlamaIndex agents combine TarotAPI tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Daily Draw — Pull a random card for daily guidance and reflection
- Full Deck Browser — Explore all 78 Major and Minor Arcana cards
- Detailed Readings — Get upright and reversed meanings, keywords, and fortune telling interpretations for any card
- Multi-Card Spreads — Draw multiple random cards for past/present/future or Celtic Cross readings
- Meaning Search — Find cards by their interpretive meanings or keywords
- Card Details — Access full card descriptions, imagery, and arcana classifications
The TarotAPI MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect TarotAPI to LlamaIndex via MCP
Follow these steps to integrate the TarotAPI MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from TarotAPI
Why Use LlamaIndex with the TarotAPI MCP Server
LlamaIndex provides unique advantages when paired with TarotAPI through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine TarotAPI tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain TarotAPI tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query TarotAPI, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what TarotAPI tools were called, what data was returned, and how it influenced the final answer
TarotAPI + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the TarotAPI MCP Server delivers measurable value.
Hybrid search: combine TarotAPI real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query TarotAPI to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying TarotAPI for fresh data
Analytical workflows: chain TarotAPI queries with LlamaIndex's data connectors to build multi-source analytical reports
TarotAPI MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect TarotAPI to LlamaIndex via MCP:
get_api_info
Get TarotAPI information
get_card
Includes full meanings (upright and reversed), keywords, fortune telling interpretations, description, and card image. Use short names like "ar01" (The Magician), "swac" (Ace of Cups), "wa02" (Two of Wands), etc. Get detailed information about a specific tarot card
get_multiple_random_cards
Useful for multi-card spreads like three-card past/present/future readings or Celtic Cross layouts. Returns up to 78 cards (full deck). Get multiple random tarot cards for a spread
get_random_card
Perfect for daily draws, quick readings, or when you need guidance from the tarot without specifying a particular card. Get a random tarot card for a daily reading
list_all_cards
Returns card names, numbers, arcana types, suits, and short names. Use this to browse the full deck or find card identifiers for detailed lookups. List all 78 tarot cards
search_cards
Supports searching by upright meaning, reversed meaning, or general text query. Returns all cards that match the search criteria with full card details. Search tarot cards by meaning or keywords
Example Prompts for TarotAPI in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with TarotAPI immediately.
"Pull a card for my daily reading."
"Give me a three-card past/present/future reading."
"What does The Fool card mean in tarot?"
Troubleshooting TarotAPI MCP Server with LlamaIndex
Common issues when connecting TarotAPI to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTarotAPI + LlamaIndex FAQ
Common questions about integrating TarotAPI MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect TarotAPI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect TarotAPI to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.