Amilia MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Amilia through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"amilia": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Amilia, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Amilia MCP Server
Connect your Amilia (SmartRec) account to your AI agent to unlock professional recreation management and participant orchestration. From auditing activity programs and monitoring attendance to managing household accounts and tracking registrations, your agent handles your community operations through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Amilia through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Program & Activity Orchestration — List and manage recreational programs, activities, and specific class occurrences
- Account & Contact Oversight — Retrieve detailed profiles for families/households and their individual contacts
- Registration Tracking — Audit sign-ups and retrieve registration histories for specific accounts
- Attendance Management — Retrieve rosters and check-in statuses for specific event occurrences
- Operational Insights — Quickly identify popular activities or retrieve attendance reports directly from your chat interface
The Amilia MCP Server exposes 9 tools through the Vinkius. Connect it to LangChain 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 Amilia to LangChain via MCP
Follow these steps to integrate the Amilia MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Amilia via MCP
Why Use LangChain with the Amilia MCP Server
LangChain provides unique advantages when paired with Amilia through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Amilia MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Amilia queries for multi-turn workflows
Amilia + LangChain Use Cases
Practical scenarios where LangChain combined with the Amilia MCP Server delivers measurable value.
RAG with live data: combine Amilia tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Amilia, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Amilia tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Amilia tool call, measure latency, and optimize your agent's performance
Amilia MCP Tools for LangChain (9)
These 9 tools become available when you connect Amilia to LangChain via MCP:
get_account_details
Get account profile
get_attendance
Get attendance roster
get_program_details
Get program metadata
list_accounts
List family accounts
list_activities
List program activities
list_activity_occurrences
List activity schedules
list_contacts
List account contacts
list_programs
g. Summer Camp, Fall Sessions). List recreational programs
list_registrations
List account registrations
Example Prompts for Amilia in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Amilia immediately.
"List all active programs in my organization."
"Show me the contacts associated with account ID 'acc_12345'."
"Get the attendance roster for occurrence ID 'occ_98765'."
Troubleshooting Amilia MCP Server with LangChain
Common issues when connecting Amilia to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAmilia + LangChain FAQ
Common questions about integrating Amilia MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Amilia 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 Amilia to LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
