MCP-First AI Foundation for TYPO3: Turn TYPO3 Into an AI-Ready Platform

TYPO3 teams are using AI for content, search, chatbots, accessibility, localization, development, and automation. But when every AI feature has separate API keys, prompts, permissions, logs, and cost tracking, the setup becomes hard to manage.

T3AF, AI Foundation for TYPO3, is open source (GPL) and brings everything into one self-hosted TYPO3 backend module. It centralizes AI providers, brand context, prompts, permissions, budgets, usage tracking, logs, and MCP workflows.

T3AF is the AI Foundation for TYPO3. It gives TYPO3 a built-in MCP Server, 100+ AI Tools, Multi-LLM management, AI Context, prompts, roles, logs, scheduler, CLI, and bulk operations. It works standalone and also powers the complete T3Planet AI Universe.

What Is T3AF, AI Foundation for TYPO3?

T3AF means AI Foundation for TYPO3. It is the base Extension of the T3Planet AI Universe: open source (GPL), on the TER and GitHub, and self-hosted on your own server.

Instead of managing AI settings in different places, T3AF brings the main AI controls into one native TYPO3 backend module. It includes an MCP Server, 100+ AI Tools, Multi-LLM provider support, AI Context, prompts, permissions, usage tracking, logs, and governance features.

T3AF can be used in two ways:

In simple words, T3AF gives TYPO3 one central AI control system for connecting AI tools, managing providers, protecting permissions, tracking usage, and powering future AI workflows.

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Why AI Workflows Need a Central Foundation in TYPO3

TYPO3 is a strong and flexible CMS for complex websites, enterprise projects, multilingual platforms, and custom digital workflows. As teams add more AI capabilities for content, SEO, search, chatbots, translation, accessibility, and automation, they also need a structured way to manage those AI workflows.

With T3AF, AI settings do not need to be managed separately across different tools or Extensions. Teams can configure providers once, reuse approved prompts, apply brand context across AI outputs, and manage permissions, usage, logs, and budgets from one native TYPO3 backend module.

T3AF does not replace TYPO3’s strength. It extends TYPO3 with a governed AI foundation that keeps AI workflows organized, secure, and easier to scale.

How T3AF Works in 3 Steps

T3AF follows a simple setup flow: connect, configure, and power everything from one TYPO3 backend foundation.

This gives TYPO3 teams a structured way to manage AI workflows while keeping control inside the TYPO3 backend.

The 3 Ways to Use AI in T3AF

T3AF gives TYPO3 teams flexible options to use AI based on their setup, technical needs, and privacy requirements.

This means teams can start with a simple credit-based setup, connect their own AI providers for more control, or use MCP Mode for deeper AI workflows with external AI tools.

Note: The current product page says T3Planet Credits: coming soon, so this line should match the final website status before publishing.

Context Mode vs Native Mode

T3AF supports two MCP modes, giving teams more control over how AI interacts with TYPO3 content and workflows.

This is one of T3AF’s strongest differentiators for DACH and enterprise buyers. Context Mode is useful when teams want flexible AI assistance using prepared website context. Native Mode is useful when teams want more privacy-focused AI workflows where generation stays closer to their TYPO3-controlled setup.

Secure MCP Access for TYPO3 AI Workflows

MCP means Model Context Protocol. In simple words, it is a secure connection method that lets AI assistants work with real systems like TYPO3.

With T3AF, TYPO3 can act as an MCP Server. This means AI tools such as Claude, Cursor, VS Code, n8n, and other MCP clients can connect to TYPO3 and perform controlled actions based on the permissions you define.

For example, an AI assistant can help read page content, create drafts, manage files, or support workflows, but only through approved and secure access rules.

T3AF keeps this connection controlled with:

• OAuth 2.1 (with PKCE)
• Scoped tokens such as read, write, or tool access
• Token expiry and instant revocation
• IP allowlist
• Rate limiting
• Full tool-call logging

This makes MCP useful for teams that want AI assistants to work with TYPO3 while keeping access, permissions, and activity tracking under control.

Built-In MCP Tools for TYPO3 Content and Backend Tasks

T3AF includes 100+ MCP Tools that help AI assistants work with TYPO3 in a structured and permission-aware way.

These tools cover many TYPO3 workflows, including:

• Pages
• Content elements
• Records
• Files and folders
• Workspaces
• Translations
• Redirects
• Scheduler
• Cache
• Backend users
• Permission checks

T3AF also includes 50+ TYPO3 Core tools, and every installed AI Universe Extension can register its own MCP tools. This means features from AI content, AI search, AI chatbot, accessibility, localization, and Extension generation can become part of the same AI workflow system.

With Table Discovery, custom TYPO3 data tables can also become AI-ready. Once enabled, tables can generate structured tools for actions such as creating, reading, updating, and managing records.

For advanced needs, teams can also build:

• Custom MCP tools
• Custom resources
• Reusable prompt templates
• AI Skills for guided workflows

T3AF also provides a Playground and Skill Hub, so teams can test tools safely before using them in real workflows. This helps developers, agencies, and enterprises use AI with more confidence inside TYPO3.

Bring AI agents into TYPO3, on your terms.

• MCP-first - Built around the Model Context Protocol, so AI assistants work with TYPO3 directly, not around it.
• Self-hosted - Runs on your own server, with your own AI provider keys or your own models.
• Open source (GPL) - Public code on the TER and GitHub, free to read, audit, and build on.
• Multi-LLM - Connect OpenAI, Anthropic, Google Gemini, Ollama, or a custom endpoint.
• GDPR-friendly - Your data stays on your infrastructure; your compliance posture is yours to control.
• EU AI Act-ready - Audit logs, human-approval workspaces, and governance tooling built in.
• Build your own - Extend T3AF with custom MCP tools, resources, and prompt templates.

Connect TYPO3 With AI Tools Like Claude, Cursor, VS Code and n8n

T3AF helps teams connect TYPO3 with the AI tools they already use. Instead of moving work to a separate external dashboard, teams can connect popular AI assistants, IDEs, automation tools, and developer platforms through guided MCP client setup.

Supported MCP clients include Claude Desktop, Cursor, VS Code, Windsurf, Continue, JetBrains, n8n, Manus, Dify, LangChain, AutoGen, OpenAI Codex, OpenAI Custom GPTs, Copilot Studio, and MCP Inspector.

Once connected, these tools can work with TYPO3 through secure MCP workflows, authentication, and defined permissions. This helps editors, developers, agencies, and automation teams use AI inside their existing TYPO3 process.

Multi-LLM Management for TYPO3 AI Workflows

T3AF gives TYPO3 teams one central place to manage AI providers and models. Instead of configuring providers separately for each Extension or workflow, admins can manage them once and reuse them across the AI setup.

Supported AI providers include:

• OpenAI
• Anthropic
• Google Gemini
• Ollama
• ElevenLabs
• AltText.ai
• Custom LLM endpoints

T3AF also supports advanced provider control:

This gives teams flexibility to choose the right AI model for each task while keeping cost, access, and security under control.

AI Context for TYPO3: Keep Every AI Output On-Brand

AI output becomes more useful when it understands the brand, audience, tone, and content rules of the website. T3AF includes AI Context profiles so every AI generation can follow the same brand direction.

With AI Context, teams can define:

• Brand identity
• Brand voice and tone tags
• Target personas
• Always and never rules
• Forbidden words
• SEO keywords
• Competitors
• Compliance notes

T3AF can also use auto-research from a website URL to help pre-fill the brand profile. Teams can upload documents such as PDF, DOCX, MD, TXT, CSV, and JSON, and their content can become part of the AI context.

For agencies, this is especially useful because they can create multiple AI Context profiles, such as one profile per client, and switch between them when needed.

Central AI Feature Control for TYPO3 Extensions

T3AF gives TYPO3 teams one central control panel for managing AI capabilities across installed AI Universe Extensions. It can detect installed AI Extensions and show their related settings in one place, so admins do not need to manage every AI feature separately.

Teams can control features such as:

• AI SEO
• AI pages
• AI content
• AI translation
• AI media
• AI audio
• AI chatbot and AI search workflows

T3AF also supports feature toggles per Extension, so teams can activate only the AI features needed for a project. Admins can also set per-extension provider overrides, meaning one AI Extension can use a different provider or model than another.

For safer and more stable usage, T3AF includes controls for rate limiting, crawl limits, training and embedding monitoring, and API quota alerts. This helps TYPO3 teams keep AI features organized, measurable, and easier to manage from one backend module.

Reusable AI Prompts for TYPO3 Teams

T3AF includes a reusable AI prompt library for TYPO3 teams. Instead of asking every editor, marketer, or developer to write prompts manually each time, teams can save approved prompt templates and reuse them across different AI workflows.

The prompt library can support:

• SEO prompts
• Content prompts
• Translation prompts
• Media prompts
• Sidebar prompts
• Custom prompts

Prompts can also be organized by category, making it easier for teams to find the right prompt for the right task. For example, an SEO team can keep prompts for meta titles and descriptions, while a translation team can keep prompts for multilingual content workflows.

For teams working on large TYPO3 websites, reusable prompts improve consistency, reduce repeated work, and keep AI-assisted content aligned across editors, languages, and campaigns.

TYPO3 Scheduler and CLI for AI Automation.

T3AF supports AI automation through TYPO3 Scheduler tasks and Symfony Console commands. This gives developers and admins a structured way to run AI workflows manually or automatically.

With Scheduler and CLI support, teams can run AI tasks with:

• Symfony Console commands
• TYPO3 Scheduler tasks
• Manual AI workflow execution
• Automated AI workflow execution
• Verbose command output
• Task overview
• Failing-task alerts

This is useful when AI work needs to run at scale or on a regular schedule. Instead of doing repeated AI tasks one by one, TYPO3 teams can automate them inside their existing TYPO3 workflow.

Example AI automation tasks include:

This makes T3AF useful not only for manual AI tasks, but also for ongoing AI maintenance, large content operations, and agency workflows.

AI Governance With Native TYPO3 Permissions

T3AF uses native TYPO3 backend groups to manage who can access AI features, tools, providers, prompts, context, scheduler tasks, usage data, and logs. This keeps AI governance aligned with TYPO3’s existing permission structure.

With the permission setup, admins can:

• Grant or deny access per AI Extension
• Manage access to AI Providers, MCP Server, MCP Tools, prompts, context, and scheduler
• Set group-based limits and quotas
• Review access through a Permission Matrix
• Monitor activity through AI Usage and AI Logs

T3AF also includes a guided permission workflow, making it easier to control AI access for editors, developers, translators, SEO teams, agencies, and enterprise users. This helps teams use AI safely while keeping control inside the TYPO3 backend.

AI Usage and Logs for Tracking Requests, Tokens, and Costs

T3AF gives TYPO3 teams a clear AI dashboard to monitor activity, cost, performance, and system health. It works like an AI cockpit where admins can see how AI is being used across providers, users, modules, and Extensions.

The dashboard can show:

• Setup checklist
• API spend trends
• Token usage
• Success rates
• Provider distribution
• Module and Extension health
• Per-request logs with model, tokens, cost, and status

This is useful for agencies, enterprises, and finance teams that need visibility into AI costs. It also helps admins debug failed requests, check provider performance, review usage patterns, and support audit-friendly AI operations.

Bulk AI Operations for Large TYPO3 Websites

Large TYPO3 websites often need AI work at scale. T3AF supports bulk operations so teams can process many pages, records, files, or content tasks together instead of handling each item manually.

Bulk operations can support:

• Metadata generation
• Alt text generation
• Translation
• AI Context refresh
• Accessibility checks
• AI Search training
• Content summaries

For example, an editor can generate missing meta descriptions for many pages, an accessibility team can create alt text for many images, or an agency can refresh AI Context across a client website. This helps TYPO3 teams save time while keeping AI workflows structured and repeatable.

Who Should Use T3AF?

T3AF is useful for TYPO3 teams that want a self-hosted, governed, and scalable AI foundation.

In short, T3AF is for teams that want AI inside TYPO3 with stronger control, clearer visibility, and a foundation that can support both current and future AI workflows.

How T3AF Powers the AI Universe

T3AF is the base Extension behind the T3Planet AI Universe. Once it is installed, other AI Universe Extensions can use the same providers, AI Context, prompts, permissions, usage tracking, logs, and cost controls from one shared foundation.

This shared foundation helps TYPO3 teams avoid duplicate setup across AI Extensions. Providers, prompts, brand context, permissions, logs, and usage data can be managed once and reused across the AI Universe.

T3AF vs Scattered AI Setups

T3AF gives TYPO3 teams a more structured way to manage AI compared to separate AI configurations across different tools or Extensions.

With T3AF, AI workflows stay organized inside TYPO3. Teams can manage providers, permissions, prompts, usage, logs, and budgets from one native backend foundation.

Conclusion

T3AF is more than a single-purpose TYPO3 AI Extension. It works as the foundation that helps TYPO3 teams manage AI workflows in a scalable, secure, measurable, and governed way.

With T3AF, AI Foundation for TYPO3, teams can connect AI assistants, manage AI providers, control costs, protect data, standardize prompts, automate workflows, and power the complete T3Planet AI Universe from one self-hosted TYPO3 backend foundation.

Ready to make TYPO3 AI-ready? 

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