MoeGo MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MoeGo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 MoeGo. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in MoeGo?"
)
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 MoeGo MCP Server
Connect your MoeGo pet care business account to your AI agent and streamline your grooming and boarding operations through natural conversation.
LlamaIndex agents combine MoeGo tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Appointment Management — List all scheduled appointments and get detailed status updates.
- Pet & Customer Profiles — View registered pets, their owners, and specific care details including breeds and ages.
- Service & Staff Oversight — Access your catalog of grooming services and list of active staff members.
- Scheduling — Create new service appointments for pets and customers with simple commands.
- Reputation Monitoring — Retrieve recent customer reviews and feedback directly within your chat.
- Business Configuration — Access general metadata and settings for your MoeGo account.
- Deep Inspection — Fetch complete metadata for specific appointments or pets using their unique IDs.
The MoeGo MCP Server exposes 10 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 MoeGo to LlamaIndex via MCP
Follow these steps to integrate the MoeGo 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 10 tools from MoeGo
Why Use LlamaIndex with the MoeGo MCP Server
LlamaIndex provides unique advantages when paired with MoeGo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine MoeGo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain MoeGo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query MoeGo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what MoeGo tools were called, what data was returned, and how it influenced the final answer
MoeGo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the MoeGo MCP Server delivers measurable value.
Hybrid search: combine MoeGo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query MoeGo 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 MoeGo for fresh data
Analytical workflows: chain MoeGo queries with LlamaIndex's data connectors to build multi-source analytical reports
MoeGo MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect MoeGo to LlamaIndex via MCP:
create_appointment
Schedule a new appointment
get_appointment
Get appointment details
get_business_settings
Get business configuration
get_pet
Get specific pet details
list_appointments
List grooming appointments
list_customers
List MoeGo customers
list_pets
) associated with your business. List all registered pets
list_reviews
List customer reviews
list_services
List grooming services
list_staff
List business staff
Example Prompts for MoeGo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with MoeGo immediately.
"Show me today's grooming schedule."
"Get details for the pet with ID pet_123."
"List all our available grooming services and prices."
Troubleshooting MoeGo MCP Server with LlamaIndex
Common issues when connecting MoeGo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMoeGo + LlamaIndex FAQ
Common questions about integrating MoeGo 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 MoeGo 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 MoeGo to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.