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MakePlans MCP Server for LangChainGive LangChain instant access to 10 tools to Create Booking, Delete Booking, Get Booking, and more

Built by Vinkius GDPR 10 Tools Framework

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.

Ask AI about this App Connector for LangChain

The MakePlans app connector for LangChain is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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-alternative": {
            "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())
MakePlans
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 your AI agent. Manage bookings, list services, check staff availability, and create appointments directly using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with MakePlans through native MCP adapters. Connect 10 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.

The MakePlans MCP Server exposes 10 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.

All 10 MakePlans tools available for LangChain

When LangChain connects to MakePlans through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-booking, appointment-scheduling, service-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_booking

Create a new booking

delete_booking

Delete/Cancel a booking

get_booking

Get details for a specific booking

get_resource

Get details for a specific resource

get_service

Get details for a specific service

list_available_slots

List available time slots for a service

list_bookings

List all bookings in MakePlans

list_people

List people (staff)

list_resources

g., rooms, equipment). List resources

list_services

g., "Consultation", "Haircut"). List available services

Connect MakePlans to LangChain via MCP

Follow these steps to wire MakePlans into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 10 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.

01

The largest ecosystem of integrations, chains, and agents. combine MakePlans MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine MakePlans tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query MakePlans, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain MakePlans tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every MakePlans tool call, measure latency, and optimize your agent's performance

Example Prompts for MakePlans in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with MakePlans immediately.

01

"List all my bookings for this month."

02

"What services are available for booking?"

03

"Show available slots for service ID '123'."

Troubleshooting MakePlans MCP Server with LangChain

Common issues when connecting MakePlans to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

MakePlans + LangChain FAQ

Common questions about integrating MakePlans MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.