Arcsecond.io MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Arcsecond.io 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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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 Arcsecond.io. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Arcsecond.io?"
)
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 Arcsecond.io MCP Server
The Arcsecond.io MCP Server provides a unified natural language interface to the world's astronomical data. Connect your Arcsecond account to your AI agent to search for celestial objects, manage observatory data, and track observation night logs seamlessly.
LlamaIndex agents combine Arcsecond.io tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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.
Key Features
- Celestial Object Search — Search for stars, galaxies, planets, and more to retrieve official names, types, and precise coordinates (RA/Dec).
- Object Metadata — Access detailed astrophysical data, including visual magnitude and classifications for millions of objects.
- Observatory Management — List observing sites, telescopes, and instruments associated with your observatory subdomain.
- Data Tracking — Access datasets and night logs to monitor ongoing observations and historical data collections.
- Night Log Oversight — Retrieve detailed logs of observations and calibrations organized by local noon-to-noon cycles.
- Global Data Access — Interface with a vast network of astronomical databases through a single, consistent API.
The Arcsecond.io MCP Server exposes 7 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 Arcsecond.io to LlamaIndex via MCP
Follow these steps to integrate the Arcsecond.io 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 7 tools from Arcsecond.io
Why Use LlamaIndex with the Arcsecond.io MCP Server
LlamaIndex provides unique advantages when paired with Arcsecond.io through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Arcsecond.io tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Arcsecond.io tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Arcsecond.io, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Arcsecond.io tools were called, what data was returned, and how it influenced the final answer
Arcsecond.io + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Arcsecond.io MCP Server delivers measurable value.
Hybrid search: combine Arcsecond.io real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Arcsecond.io 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 Arcsecond.io for fresh data
Analytical workflows: chain Arcsecond.io queries with LlamaIndex's data connectors to build multi-source analytical reports
Arcsecond.io MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Arcsecond.io to LlamaIndex via MCP:
get_account_check
Verify Arcsecond account connection
get_object
Get details for a specific astronomical object
list_datasets
List datasets available for an observatory
list_night_logs
List observation night logs for an observatory
list_observing_sites
List observing sites for an observatory
list_telescopes
List telescopes for an observatory
search_objects
Search for astronomical objects (stars, galaxies, planets)
Example Prompts for Arcsecond.io in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Arcsecond.io immediately.
"Search for the 'Andromeda Galaxy' and get its coordinates."
"List all observing sites for the 'lco' observatory."
"Show me recent night logs for subdomain 'my-observatory'."
Troubleshooting Arcsecond.io MCP Server with LlamaIndex
Common issues when connecting Arcsecond.io to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpArcsecond.io + LlamaIndex FAQ
Common questions about integrating Arcsecond.io 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 Arcsecond.io 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 Arcsecond.io to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.