4,000+ servers built on MCP Fusion
Vinkius
LangChainFramework
Why use Webiny CMS MCP Server with LangChain?

Bring Graphql Api
to LangChain

Create your Vinkius account to connect Webiny CMS to LangChain and start using all 9 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Create Cms EntryDelete Cms EntryExecute Graphql QueryGet Api IntrospectionGet Model Entry DetailsGet Tenant ConfigList Model EntriesPublish Cms EntryUpdate Cms Entry
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Webiny CMS

What is the Webiny CMS MCP Server?

Connect your Webiny CMS instance to any AI agent and manage your headless content infrastructure through natural conversation.

What you can do

  • Content Lifecycle — Create, update, publish, and delete content entries for any model directly from your agent
  • Model Discovery — List all entries for specific content models and browse available data structures using introspection
  • Advanced GraphQL — Execute raw GraphQL queries or mutations for custom logic and complex nested data operations
  • Revision Control — Retrieve specific entry details by ID to inspect metadata and field-level property values
  • API Management — Discover available types, fields, and models in your current environment through automated introspection
  • Global Config — Verify high-level tenant settings and configurations to ensure your CMS environment is healthy
  • Multi-Locale Support — Seamlessly manage content across different language locales (e.g., en-US, pt-BR)

How it works

  1. Subscribe to this server
  2. Enter your Webiny API Domain and Access Token
  3. Start managing your content models through Claude, Cursor, or any MCP-compatible client

No more manual JSON drafting in GraphQL playgrounds. Your AI agent becomes your content operations manager.

Who is this for?

  • Content Managers — update and publish entries across multiple models and locales without manual data entry
  • Headless Developers — test GraphQL queries and verify content model introspection through chat
  • Marketing Teams — quickly browse content items and verify publication status for different campaigns
  • CMS Administrators — monitor tenant settings and audit content revisions through simple commands

Built-in capabilities (9)

create_cms_entry

Provide the singular model name and field data as a JSON object. Creates a new draft entry for a content model

delete_cms_entry

This action is irreversible. Permanently deletes a content entry revision

execute_graphql_query

Specify api_type (manage, read, preview) and locale. Executes a raw GraphQL query or mutation against the Webiny CMS API

get_api_introspection

Retrieves the GraphQL schema introspection for the Webiny instance

get_model_entry_details

ID refers to the specific revision. Retrieves details for a specific content model entry

get_tenant_config

Retrieves global settings for the Webiny tenant

list_model_entries

Provide the model plural name (e.g. "Articles"). Specify api_type (manage for drafts, read for live). Lists all entries for a specific content model in Webiny

publish_cms_entry

Provide the specific revision ID. Publishes a draft entry, making it available via the "read" API

update_cms_entry

Provide the entry ID and a JSON object containing the field updates. Updates fields of an existing content entry revision

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Webiny CMS through native MCP adapters. Connect 9 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 Webiny CMS 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 Webiny CMS queries for multi-turn workflows

See it in action

Webiny CMS in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Webiny CMS with Vinkius?

The Webiny CMS connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 9 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Webiny CMS
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Webiny CMS using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Webiny CMS and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Webiny CMS to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Webiny CMS for LangChain

Every request between LangChain and Webiny CMS is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

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

Frequently asked questions

01

Can I publish a draft content entry via chat?

Yes. The publish_cms_entry tool allows you to take any draft revision live. You just need to provide the entry ID and the model name, and your AI agent will handle the publication through the Webiny 'manage' API.

02

Is it possible to see the entire GraphQL schema of my instance?

Absolutely. Using the get_api_introspection tool, your agent can retrieve the full GraphQL schema introspection, giving you a complete overview of all available types, fields, and content models in your environment.

03

How do I add a new entry to a content model through conversation?

Use the create_cms_entry tool. Provide the singular model name (e.g., 'Article'), the target locale, and a JSON object containing the field data. Your agent will create the new draft entry instantly.

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

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