3,400+ MCP servers ready to use
Vinkius

Bring Visual Builder
to LangChain

Learn how to connect Makeswift to LangChain and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create SnapshotGet PageGet Site DetailsGet SnapshotList ComponentsList HostnamesList LocalesList PagesList RedirectsList Snapshots

What is the Makeswift MCP Server?

Connect your Makeswift site to any AI agent and simplify your visual building and content management workflows through natural conversation.

What you can do

  • Site Management — Retrieve detailed site configuration, hostnames, and localized settings
  • Page Control — List all pages in your project, check publication status, and retrieve detailed page metadata
  • Version Control — List historical content snapshots and create new ones programmatically for safe releases
  • Developer Insights — Query registered React components and URL redirects to understand your project structure

How it works

1. Subscribe to this server
2. Enter your Makeswift Site API Key from your site settings
3. Start managing your visual experiences from Claude, Cursor, or any MCP-compatible client

Built-in capabilities (10)

create_snapshot

Create a new content snapshot

get_page

Get details for a specific page

get_site_details

Get current Makeswift site details

get_snapshot

Get details for a specific snapshot

list_components

List registered components

list_hostnames

List site hostnames

list_locales

List configured site locales

list_pages

List all pages in the site

list_redirects

List site redirects

list_snapshots

List content snapshots

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Makeswift 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 largest ecosystem of integrations, chains, and agents. combine Makeswift 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 Makeswift queries for multi-turn workflows

See it in action

Makeswift in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Makeswift and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Makeswift to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Makeswift in LangChain

The Makeswift 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Makeswift
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

The Vinkius Advantage

How Vinkius secures Makeswift for LangChain

Every tool call from LangChain to the Makeswift MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I list all pages in my Makeswift site using my AI agent?

Yes! Use the list_pages tool. It will return a comprehensive list of all pages in your project, including their status and IDs.

02

How do I create a new content snapshot programmatically?

Use the create_snapshot action. Provide a descriptive name for the snapshot to trigger a new version save of your current site content.

03

Is it possible to check the locales configured for my site?

Yes, use the list_locales tool to retrieve all languages and regional settings defined for your site content.

04

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.

05

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.

06

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.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters