Latenode

MCP server for free

Build an MCP server
for AI assistants with Model Context Protocol

Build and host an MCP server in Latenode, then link Claude for Desktop, your editor, and other AI clients to data, APIs, and internal flows. Add MCP Trigger, define actions as branches, return clean outputs with MCP Response, and go live without Docker or extra infrastructure.

Free plan available·No credit card·Hosted by Latenode

Why MCP

One MCP server gives every AI client and assistant the same trusted context layer

Without one shared endpoint, each assistant needs its own connector to each client, database, and service. Latenode turns one scenario into an MCP server so Claude, your editor, and other AI tools can discover and use the same capabilities.

N×M

Custom integrations pile up when every AI client needs its own connection to every app.

Weeks

Manual deployment, gateway setup, and debugging slow down teams trying to add a new model or assistant.

1

One hosted MCP server can expose many actions, branches, and routes through a single URL.

Fast

MCP Trigger, built-in auth, and MCP Response help teams move from test to production in hours, not sprints.

Latenode MCP server lets you add action names, descriptions, parameters, auth, and custom logic in a visual builder. Then you connect Claude for Desktop, ChatGPT-compatible setups, or your own assistant to the same server URL.

Get started
MCP

Build, connect, and scale one MCP server across every client, model, and AI stack

One hosted workflow can cover setup, client onboarding, action use, auth, and debugging in a single operational flow.

Hosted MCP

Launch and configure a remote MCP server without Docker or manual infrastructure

MCP Trigger turns your scenario into an MCP server. Each branch becomes a separate action that any MCP-compatible assistant can discover. You configure description, version, auth, and inputs in one place, then copy the URL and link your AI client.

Test first, then connect a client

Use a simple echo action, sample input parameters, and fast branches to check discovery and outputs before onboarding your assistant. Clear descriptions, predictable parameter names, and structured responses make debugging much easier later.

Client Setup

Connect each MCP client: Claude for Desktop, Cursor, and remote options

Once your MCP server is live, setup is simple: add a new endpoint or connector, paste the URL, provide the key if auth is enabled, and confirm your actions appear. That shared flow works across Claude for Desktop and many assistant setups.

Hosted setup for shared use

Because Latenode hosts the server, teams can use a URL-based setup instead of managing local processes, stdio wrappers, or a custom adapter. That is useful when multiple assistants, editors, or shared tools need shared use of the same actions and configuration.

Actions, Data, and Services

Expose data, integrations, and MCP tools your AI assistant can trust

An MCP server is only useful when the actions behind it are practical. Latenode lets you use databases, docs, HTTP endpoints, CRM data, and JavaScript logic, then register each branch with a clear name and instruction set so the client knows when to call it.

Use 5,500+ apps as actions

HubSpot, Slack, Google Sheets, GitHub, Jira, Airtable, Salesforce, and many other apps can become callable actions. That means your assistant can work with the same systems your team already trusts, instead of being limited to toy examples.

Configuration & Debug

From setup to debug and troubleshooting:
support, test, and configuration in one view

Configure clients, define safety boundaries, and fix the most common reasons actions do not appear in the assistant. Test with a simple echo action first, then connect your AI client once discovery works reliably.

Debug, support, and one practical limitation

If auth errors appear, verify whether auth is enabled or disabled as expected and update the key in the client. If results are too large or slow, reduce payload size with MCP Response and keep branches focused. That is often enough to solve the most common limit in early MCP rollouts.

Get started

Get started: build and test a working MCP server in four steps

Follow the actual Latenode flow: MCP Trigger, action branches, MCP Response, and client setup.

01

Add MCP Trigger

Create a new scenario, add MCP Trigger, and configure description, version, URL, and optional auth.

02

Define actions as branches

Each node attached directly to MCP Trigger becomes an action. Add names, descriptions, and fromMCP parameters so the client can call them correctly.

03

Return data with MCP Response

Shape the output, hide internal fields, and return only the final context the assistant needs to complete the task.

04

Connect your client

Copy the URL into Claude for Desktop or another MCP client, add the key if required, and verify your actions are listed.

Try it now — describe the MCP server you need

What teams say

What teams value when they build
MCP features for clients and data

★★★★★
Teams want flexibility without the infrastructure burden
" Users consistently describe Latenode as stronger on logic, loops, AI steps, and JavaScript than typical automation software, which makes it a good fit for a hosted workflow that needs real orchestration instead of a simple webhook chain.
MCP
Hosted teams
Developers, operators, and AI builders
★★★★★
Custom logic
" The ability to drop into JavaScript and keep the rest visual is one of the clearest advantages for assistant workflows and custom actions.
JS
Custom logic
Code + no-code
G2
★★★★★
Support
" When a hosted configuration breaks, a short response cycle matters. Fast support and quick answers keep rollout moving.
SR
Support
Fast answers
Trustpilot
★★★★★
Multi-client access
" Teams can build one hosted workflow and then reuse it across Claude and other clients instead of rebuilding each flow for each assistant surface.
AI
Multi-client access
Claude, Cursor, more
G2
★★★★★
Deployment
" Hosted deployment, auth options, and response shaping remove a lot of the manual work that usually slows down rollout.
PR
Deployment
From test to prod
Trustpilot
Apps

Connect the MCP server to business apps, data, integration layers, and remote clients

Search the apps, data sources, and client categories teams most often use through hosted actions.

Custom Action

Need a custom MCP feature, API integration, or server-like connector?

Use the code node, HTTP requests, or a custom app integration when the standard catalog is not enough for your use case.

Templates

Example MCP server workflows
for AI clients and support teams

Start from practical examples for CRM access, live data, design systems, and internal operations.

AI Weather Agent (With HTTP request)AI
Beginner

AI Weather Agent (With HTTP request)

AI agent that retrieves live weather data via API.

8 sec$0.005
Create a Chatbot That Remembers EverythingAI
Beginner

Create a Chatbot That Remembers Everything

A basic Telegram chatbot powered by a GPT assistant trained on your data.

14s$0.0019
Get Instant Summaries of Any YouTube VideoAI
Beginner

Get Instant Summaries of Any YouTube Video

ChatGPT gives you a quick summary of the Youtube video with key takeaways.

10s$0.02
Turn Receipts into Structured Data AutomaticallyAI
Beginner

Turn Receipts into Structured Data Automatically

The receipt is processed and structured with the help of ChatGPT.

5s$0.005
Execute Natural Language Tasks AutomaticallyAI
Beginner

Execute Natural Language Tasks Automatically

Smart AI assistant that handles search, calendar, and email tasks from a single request.

18s$0,04
GPT Chat Assistant for Website via ChatwootAI
Beginner

GPT Chat Assistant for Website via Chatwoot

Embed a GPT-powered chat assistant on your website using the Chatwoot widget.

19s$0,05
Multitool AI Assistant: Web Search, Calendar, and Email DraftsAI
Beginner

Multitool AI Assistant: Web Search, Calendar, and Email Drafts

Smart AI assistant that handles search, calendar, and email tasks from a single request.

18s$0,04
Telegram Text + Voice Conversational AgentAI
Beginner

Telegram Text + Voice Conversational Agent

Voice-enabled AI assistant with internet search and chat replies.

12 sec$0.01
Extract Invoice Data and Save It to Google SheetsAI
Beginner

Extract Invoice Data and Save It to Google Sheets

Automate invoice processing into a unified spreadsheet.

10s$0.0342
View all templates500+ ready automations
Comparison

How Latenode compares for Model Context Protocol support, latest LLMs, and remote MCP

Hosted MCPClaude DesktopEditorHosted accessAuth + debug
FeatureLatenode MCP serverManual setupAutomation platforms without native MCP
Native MCP supportMCP Trigger + hosted serverDIY implementationLimited / indirect
DeploymentHosted by defaultDocker, cloud, configUsually not a real hosted endpoint
Tool creationEach branch becomes an actionHand-written schemas and routingAutomation actions only
Response shapingMCP Response nodeCustom codeLimited
Apps5,500+ appsBuild each connectorVaries
AI coverage400+ AI engines includedBring your own stackVaries by plan
AuthKey auth in MCP TriggerManual implementationInconsistent
Time to first testMinutes to hoursDays to weeksNot built for MCP
Read the MCP server product page →
Migration

Replace ad hoc connectors with one MCP server for every model and client

If your current setup uses web automation, custom scripts, and one-off connectors for each assistant, standardizing on MCP can simplify the stack.

Resources

Documentation, configuration, and troubleshooting for Model Context Protocol

Product page, MCP nodes documentation, and setup instructions for Claude for Desktop, Cursor, and other MCP clients.

Common MCP server questions, limitations, and support answers

Build your first AI MCP server for Claude, Cursor, and other clients

Create a hosted server, use Claude for Desktop and an editor, shape clean responses, and control auth from one Latenode workflow.

✓ Hosted server✓ Claude for Desktop + editor✓ Fast setup✓ Structured outputs
Start Building FreeRead MCP Docs
MCP · hosted actions · URL use