Magicplan MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Magicplan 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({
"magicplan": {
"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 Magicplan, 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 Magicplan MCP Server
Connect your Magicplan workspace to any AI agent to automate your architectural and estimation workflows. This MCP server enables your agent to interact with floor plans, retrieve precise spatial measurements, and access detailed financial estimates directly from natural language interfaces.
LangChain's ecosystem of 500+ components combines seamlessly with Magicplan 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.
What you can do
- Project Oversight — List all architectural projects and retrieve detailed metadata and status updates
- Spatial Intelligence — Access full floor plan spatial data including floors, rooms, and individual object placements
- Precise Measurements — Retrieve numeric statistics such as area, perimeter, and volume for any plan or specific room
- Estimation Audit — Access comprehensive financial breakdowns including labor, materials, taxes, and itemized positions
- User Management — List collaborators and manage workspace access across your architectural teams
- Data Collection — Query inspection forms and survey data attached directly to your floor plans
The Magicplan 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.
How to Connect Magicplan to LangChain via MCP
Follow these steps to integrate the Magicplan 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 10 tools from Magicplan via MCP
Why Use LangChain with the Magicplan MCP Server
LangChain provides unique advantages when paired with Magicplan through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Magicplan 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 Magicplan queries for multi-turn workflows
Magicplan + LangChain Use Cases
Practical scenarios where LangChain combined with the Magicplan MCP Server delivers measurable value.
RAG with live data: combine Magicplan tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Magicplan, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Magicplan tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Magicplan tool call, measure latency, and optimize your agent's performance
Magicplan MCP Tools for LangChain (10)
These 10 tools become available when you connect Magicplan to LangChain via MCP:
get_estimate_details
Get full financial breakdown for an estimate
get_plan_form_data
Retrieve forms attached to a specific plan
get_plan_measurements
Get numeric measurements for a plan
get_project_details
Get metadata for a specific project
get_project_floor_plan
Get full spatial data for a project
get_workspace_info
Get configuration for the current workspace
list_available_forms
List all data collection forms (checklists)
list_magicplan_projects
List all floor plan projects
list_project_estimates
List all financial estimates for a project
list_workspace_users
List all users in the Magicplan workspace
Example Prompts for Magicplan in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Magicplan immediately.
"List all architectural projects in my Magicplan workspace."
"Show the floor plan measurements for project ID '123'."
"Get the financial breakdown for estimate 'est-987' in project '456'."
Troubleshooting Magicplan MCP Server with LangChain
Common issues when connecting Magicplan to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMagicplan + LangChain FAQ
Common questions about integrating Magicplan 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 Magicplan 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 Magicplan to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.