MakePlans MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect MakePlans through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"makeplans": {
"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 MakePlans, 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 MakePlans MCP Server
Connect your MakePlans account to any AI agent to automate your scheduling and appointment management. This MCP server enables your agent to list bookings, find available time slots, manage services and resources, and create customer records directly from natural language interfaces.
LangChain's ecosystem of 500+ components combines seamlessly with MakePlans through native MCP adapters. Connect 8 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
- Appointment Control — List all scheduled bookings and retrieve detailed metadata and status updates
- Availability Check — Query specific services to find available time slots within defined date ranges
- Resource Oversight — Manage bookable resources such as staff members, rooms, or specialized equipment
- Service Catalog — List all service definitions and appointment types configured in your account
- Customer CRM — Create new customer profiles and manage the 'people' database for your business
- Real-time Scheduling — Programmatically create new appointments by linking people, services, and time slots
The MakePlans MCP Server exposes 8 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 MakePlans to LangChain via MCP
Follow these steps to integrate the MakePlans 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 8 tools from MakePlans via MCP
Why Use LangChain with the MakePlans MCP Server
LangChain provides unique advantages when paired with MakePlans through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine MakePlans 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 MakePlans queries for multi-turn workflows
MakePlans + LangChain Use Cases
Practical scenarios where LangChain combined with the MakePlans MCP Server delivers measurable value.
RAG with live data: combine MakePlans tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query MakePlans, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain MakePlans tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every MakePlans tool call, measure latency, and optimize your agent's performance
MakePlans MCP Tools for LangChain (8)
These 8 tools become available when you connect MakePlans to LangChain via MCP:
create_new_appointment
Requires person_id, service_id, and start_at. Schedule a new booking
create_new_customer
Requires name. Add a new customer profile
find_available_slots
Requires service_id and date parameters. Find available time slots for a service
get_appointment_details
Get details for a specific booking
list_appointments
Use optional params for filtering. List all bookings/appointments
list_available_services
List all offered services (appointment types)
list_booking_resources
List booking resources (staff, rooms, etc.)
list_customers
List all registered customers
Example Prompts for MakePlans in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with MakePlans immediately.
"List all appointments scheduled for next week in MakePlans."
"Find available slots for service ID '123' between tomorrow and Friday."
"Create a new customer profile for 'Alice Doe' with email 'alice@example.com'."
Troubleshooting MakePlans MCP Server with LangChain
Common issues when connecting MakePlans to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMakePlans + LangChain FAQ
Common questions about integrating MakePlans 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 MakePlans 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 MakePlans to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.