How to Use the AstrologyAPI MCP in LlamaIndex
Index live birth charts and daily panchang data directly into your LlamaIndex vector store using this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AstrologyAPI MCP to LlamaIndex
Create your Vinkius account to connect AstrologyAPI 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.
Index birth charts for semantic search
The `get_planets_positions` tool pulls precise celestial coordinates for any given birth event via this MCP integration. LlamaIndex indexes these coordinate outputs directly into a vector store, allowing your agent to run semantic queries over historical birth data. By saving these outputs, you can query your database to find commonalities among profiles. Your agent can compare these positions with `get_house_positions` data to find patterns across hundreds of indexed charts.
Build a RAG-backed astrological knowledge base
The `get_basic_panchang` tool retrieves daily planetary alignments, tithis, and auspicious times. LlamaIndex stores this daily data in document nodes so users can search for past auspicious days using natural language queries. This setups a dynamic search index where the agent doesn't need to query the API repeatedly. It simply searches the local index for previously fetched panchang details.
Query Sade Sati timelines via this MCP Server
The `check_sade_sati` tool identifies whether a profile is undergoing the challenging Saturn transit. LlamaIndex stores these transit timelines, making it easy to retrieve a user's Saturn status during follow-up queries. Your agent can cross-reference these transit phases with `get_yoga_analysis` results stored in the same index. This gives your RAG system a complete, searchable picture of a user's current astrological transits.
Set up AstrologyAPI 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 AstrologyAPI 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 AstrologyAPI tools.",
)
response = await agent.run("List recent AstrologyAPI data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AstrologyAPI. 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 AstrologyAPI MCP in LlamaIndex
Use it with your favorite AI tools
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