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Webiny MCP Server

Webiny's MCP server for exposing Webiny-specific skills and development instructions to Claude, Cursor, Copilot, Windsurf, opencode, and other AI coding agents over stdio.

by Webiny Ltd · submitted by oktofeesh1·added 2026-06-06·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://raw.githubusercontent.com/webiny/webiny-js/next/packages/mcp/package.json, https://github.com/webiny/webiny-js
Brand
Webiny
Brand domain
webiny.com
Brand asset source
brandfetch
Safety notes
Webiny MCP is a guidance and skill-loading server; it does not directly manage a Webiny CMS deployment or execute Webiny admin actions., The configure command can update supported agent configuration, so review generated MCP config changes before committing or sharing them., The --skills and --additional-skills flags make the server recursively discover SKILL.md files from local directories; point them only at trusted project guidance., Agent-loaded skills can strongly steer code changes, architecture decisions, and generated commands; review outputs before applying them to production Webiny projects.
Privacy notes
Skill files can contain internal coding conventions, project architecture, extension patterns, package notes, and proprietary implementation guidance., Loaded skill content may be sent to MCP clients, model providers, chat transcripts, and logs when an agent requests it., Custom skill directories can reveal local repository structure and file paths through tool output or error messages., Keep credentials, customer data, private deployment details, and unpublished roadmap notes out of SKILL.md files exposed through the MCP server.
Author
Webiny Ltd
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-06

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

10 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

4 prerequisites to line up before setup. Includes a review or approval gate.

0/4 ready
Install & runtime2Review & approval1General110 minutes

Safety & privacy surface

Safety & privacy surface

4 safety and 4 privacy notes across 5 risk areas. Review closely: credentials & tokens, permissions & scopes, network access.

5 areas
  • SafetyPermissions & scopesWebiny MCP is a guidance and skill-loading server; it does not directly manage a Webiny CMS deployment or execute Webiny admin actions.
  • SafetyExecution & processesThe configure command can update supported agent configuration, so review generated MCP config changes before committing or sharing them.
  • SafetyLocal filesThe --skills and --additional-skills flags make the server recursively discover SKILL.md files from local directories; point them only at trusted project guidance.
  • SafetyExecution & processesAgent-loaded skills can strongly steer code changes, architecture decisions, and generated commands; review outputs before applying them to production Webiny projects.
  • PrivacyLocal filesSkill files can contain internal coding conventions, project architecture, extension patterns, package notes, and proprietary implementation guidance.
  • PrivacyNetwork accessLoaded skill content may be sent to MCP clients, model providers, chat transcripts, and logs when an agent requests it.
  • PrivacyLocal filesCustom skill directories can reveal local repository structure and file paths through tool output or error messages.
  • PrivacyCredentials & tokensKeep credentials, customer data, private deployment details, and unpublished roadmap notes out of SKILL.md files exposed through the MCP server.

Safety notes

  • Webiny MCP is a guidance and skill-loading server; it does not directly manage a Webiny CMS deployment or execute Webiny admin actions.
  • The configure command can update supported agent configuration, so review generated MCP config changes before committing or sharing them.
  • The --skills and --additional-skills flags make the server recursively discover SKILL.md files from local directories; point them only at trusted project guidance.
  • Agent-loaded skills can strongly steer code changes, architecture decisions, and generated commands; review outputs before applying them to production Webiny projects.

Privacy notes

  • Skill files can contain internal coding conventions, project architecture, extension patterns, package notes, and proprietary implementation guidance.
  • Loaded skill content may be sent to MCP clients, model providers, chat transcripts, and logs when an agent requests it.
  • Custom skill directories can reveal local repository structure and file paths through tool output or error messages.
  • Keep credentials, customer data, private deployment details, and unpublished roadmap notes out of SKILL.md files exposed through the MCP server.

Prerequisites

  • Node.js and npx available for running the @webiny/mcp package.
  • A Webiny project or Webiny-related repository where the agent should use Webiny guidance.
  • Review of the built-in skills and any custom SKILL.md directories before exposing them to a model.
  • Agreement on whether project conventions, extension architecture, package internals, or private implementation notes may be sent to the MCP client and model provider.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
10 minutes
Difficulty
intermediate
Full copyable content
{
  "mcpServers": {
    "webiny": {
      "command": "npx",
      "args": ["@webiny/mcp", "serve"]
    }
  }
}

About this resource

Content

Webiny MCP Server is the official MCP package from Webiny for exposing Webiny skills and development guidance to AI coding agents. It runs over stdio and provides tools for listing available Webiny skills and loading the exact skill content an agent needs for a task.

Use it when Claude, Cursor, Copilot, Windsurf, opencode, or another agent is working in a Webiny codebase and needs project-specific guidance before editing extensions, packages, configuration, or Webiny framework code.

Source Review

These sources were reviewed on 2026-06-06. Prefer the live repository, MCP package metadata, npm registry metadata, root license, CLI implementation, MCP server implementation, agent configuration implementation, agent discovery, instruction output, and sample MCP config for current behavior.

Features

  • Run a stdio MCP server with webiny-mcp serve or npx @webiny/mcp serve.
  • List available Webiny skills with list_webiny_skills.
  • Load a specific Webiny skill with get_webiny_skill.
  • Discover built-in package skills plus custom SKILL.md directories.
  • Override the base skills directory with --skills.
  • Add higher-priority custom skill directories with repeated --additional-skills flags.
  • Configure supported agents with webiny-mcp configure <agent>.

Installation

Run directly with npx:

npx @webiny/mcp serve

Configure Claude with the Webiny helper:

npx @webiny/mcp configure claude

For manual JSON configuration:

{
  "mcpServers": {
    "webiny": {
      "command": "npx",
      "args": ["@webiny/mcp", "serve"]
    }
  }
}

Restart the MCP client after adding the server.

Use Cases

  • Ask Claude to list available Webiny skills before making a Webiny code change.
  • Load Webiny extension guidance before editing extensions/ or webiny.config.tsx.
  • Load Webiny package guidance before editing core framework packages.
  • Add a project-local SKILL.md directory for organization-specific Webiny conventions.
  • Keep multiple coding agents aligned on the same Webiny development guidance.

Safety and Privacy

Webiny MCP Server exposes instructions rather than executing CMS operations, but those instructions can still shape large code changes. Review loaded skills and agent-generated edits before applying them to production Webiny projects.

Only expose trusted SKILL.md directories. Skills may contain private architecture notes, repository conventions, extension patterns, deployment assumptions, or proprietary guidance that will be sent to the MCP client and model provider when requested.

The configure command can write agent-specific configuration. Review those changes before committing config files or sharing them with a team.

Duplicate Check

No Webiny MCP Server, webiny/webiny-js MCP package, @webiny/mcp, or matching Webiny MCP source URL was found in content/mcp.

Source citations

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How it compares

Webiny MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field

Webiny's MCP server for exposing Webiny-specific skills and development instructions to Claude, Cursor, Copilot, Windsurf, opencode, and other AI coding agents over stdio.

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Unity MCP server, plugin, CLI, and skill generator for controlling Unity Editor and runtime projects from MCP clients through built-in game-dev tools.

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MCP server that lets Claude install other MCP servers into Claude Desktop by writing MCP config entries for npm packages, uvx packages, or locally cloned Node-based MCP server projects.

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MCP server and native Unreal Engine automation bridge for controlling UE5 projects, assets, actors, levels, Blueprints, Niagara, Sequencer, tests, screenshots, logs, and editor automation from Claude.

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Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
Submitteroktofeesh1oktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandWebiny logoWebinyAI Game Developer logoAI Game Developer
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorWebiny LtdIvan MurzakAnais BettsChiR24
Added2026-06-062026-06-062026-06-062026-06-06
Platforms
Harness
Source repo
Safety notesWebiny MCP is a guidance and skill-loading server; it does not directly manage a Webiny CMS deployment or execute Webiny admin actions. The configure command can update supported agent configuration, so review generated MCP config changes before committing or sharing them. The --skills and --additional-skills flags make the server recursively discover SKILL.md files from local directories; point them only at trusted project guidance. Agent-loaded skills can strongly steer code changes, architecture decisions, and generated commands; review outputs before applying them to production Webiny projects.AI Game Developer can create, move, copy, modify, and delete Unity assets, scenes, GameObjects, components, scripts, packages, and generated project files. Tools include dynamic C# script execution, C# reflection method lookup and calls, package installation/removal, Unity test execution, editor state changes, play mode control, screenshots, and profiler access. The MCP server supports streamable HTTP and stdio; HTTP deployments should require a bearer token and stay bound to trusted interfaces. Server variables include optional authorization and webhook settings; webhook endpoints can receive tool, prompt, resource, connection, and authorization events. Unity runtime connections can expose compiled game state or in-game behavior to an MCP client, not just editor-only project data. Use source control, backups, tool filtering, and explicit review before allowing destructive tools such as asset deletion, package removal, script execution, or reflection calls.MCP Installer can write or update Claude Desktop MCP server configuration entries. The install_repo_mcp_server tool can add npx or uvx based MCP server commands from package names the model supplies. The install_local_mcp_server tool can run npm install in a local project with a package.json and configure Node to execute discovered package bins or main files. Environment variables passed to the installer are written into the MCP configuration for the installed server. Treat this as an administrative helper; review every package, version, local path, arg, and environment value before approving a tool call.Unreal Engine MCP Server can create, import, duplicate, rename, move, delete, and modify project assets, actors, levels, Blueprints, Niagara systems, Sequencer tracks, materials, audio, tests, logs, console variables, and editor state. The bridge exposes editor automation through native HTTP/SSE or WebSocket transports; keep listeners on loopback unless you intentionally enable and secure LAN access. Capability-token authentication, TLS, command validation, path sanitization, rate limits, and loopback binding should be reviewed before using remote or multi-user setups. Require confirmation before running console commands, Python execution, UnrealBuildTool tasks, Play-In-Editor sessions, asset deletion, level saves, plugin changes, imports, exports, or source-control-affecting operations. Test against disposable projects before allowing an agent to automate production levels, gameplay systems, render settings, or content directories.
Privacy notesSkill files can contain internal coding conventions, project architecture, extension patterns, package notes, and proprietary implementation guidance. Loaded skill content may be sent to MCP clients, model providers, chat transcripts, and logs when an agent requests it. Custom skill directories can reveal local repository structure and file paths through tool output or error messages. Keep credentials, customer data, private deployment details, and unpublished roadmap notes out of SKILL.md files exposed through the MCP server.Tool calls may expose Unity project paths, asset names, scene hierarchy, serialized object data, scripts, logs, screenshots, profiler metrics, test output, package metadata, and runtime state. MCP config files and Unity plugin config can contain server URLs, connection modes, bearer tokens, authorization settings, enabled tool IDs, and cloud or local endpoint details. Optional webhooks can receive tool, prompt, resource, connection, authorization, and token-bearing request data. Screenshots from Game View, Scene View, cameras, or isolated GameObjects may include proprietary artwork, level design, UI, debug overlays, or unreleased game content. Generated skills and AI-client configuration files can reveal available tools, project structure, installed packages, and local workflow assumptions.MCP configuration files can contain API keys, tokens, local paths, package names, arguments, and environment variables. The server reads and writes the user's Claude Desktop MCP config and may reveal existing MCP server names or config structure through tool results or logs. Local project paths can reveal usernames, repository names, client names, or private workspace layout. Do not ask the installer to write real secrets until you understand where the MCP client stores them and who can read the config file.Project paths, asset names, level contents, screenshots, editor logs, test output, Blueprint graphs, console variables, and generated automation reports can be exposed to the MCP client. Screenshot and viewport tools may capture unpublished game content, UI, debug overlays, local paths, or proprietary assets. Native plugin logs, TypeScript bridge logs, metrics endpoints, and MCP transcripts can reveal project names, file-system paths, automation requests, and tool results. Treat capability tokens, project paths, LAN listener settings, and generated screenshots as sensitive local configuration. Keep automation output inside approved project or scratch directories and remove temporary artifacts before sharing traces or bug reports.
Prerequisites
  • Node.js and npx available for running the @webiny/mcp package.
  • A Webiny project or Webiny-related repository where the agent should use Webiny guidance.
  • Review of the built-in skills and any custom SKILL.md directories before exposing them to a model.
  • Agreement on whether project conventions, extension architecture, package internals, or private implementation notes may be sent to the MCP client and model provider.
  • Unity project using Unity 2022.3 or newer for the current package metadata.
  • Unity Hub or a local Unity Editor installation.
  • Node.js 20.19 or newer, or Node.js 22.12 or newer, for `unity-mcp-cli`.
  • An MCP client such as Claude Code, Claude Desktop, Codex, Cursor, Gemini CLI, GitHub Copilot, Cline, or another supported client.
  • Claude Desktop or another MCP client that can run stdio Node MCP servers.
  • Node.js and npx available for npm-hosted MCP servers.
  • uvx available before installing Python MCP servers through the uvx path.
  • Package names, local paths, args, and environment variables reviewed before asking Claude to install anything.
  • Unreal Engine 5.0 through 5.8 with a project that can load the included McpAutomationBridge plugin.
  • Node.js 18 or newer when using the TypeScript stdio bridge; native MCP transport can run inside the plugin without Node.js.
  • A code-enabled Unreal project or a prebuilt plugin package that matches the target Unreal Engine version.
  • Required Unreal plugins such as MCP Automation Bridge, Editor Scripting Utilities, and Niagara enabled before automation starts.
Install
npx @webiny/mcp serve
npm install -g unity-mcp-cli && unity-mcp-cli install-plugin ./MyUnityProject
Run `npx @anaisbetts/mcp-installer` from Claude Desktop after reviewing the server source and package behavior.
npx unreal-engine-mcp-server
Config
{
  "mcpServers": {
    "webiny": {
      "command": "npx",
      "args": [
        "@webiny/mcp",
        "serve"
      ],
      "type": "stdio"
    }
  }
}
Manual-only setup:
npm install -g unity-mcp-cli
unity-mcp-cli install-plugin ./MyUnityProject
unity-mcp-cli open ./MyUnityProject
{
  "mcpServers": {
    "mcp-installer": {
      "command": "npx",
      "args": ["@anaisbetts/mcp-installer"]
    }
  }
}
Manual-only setup:
claude mcp add unreal-engine -- npx unreal-engine-mcp-server
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