Use one MCP server for real content workflows
MCP directories are full of narrow tools that do one thing. Iteration Layer gives MCP users the European AI workflow runtime for documents, images, websites, spreadsheets, and generated files that can feed each other in one assistant session.
One output feeds the next
APIs that cover every step of EU content workflows — ingestion, transformation, generation, and exports. One key, one credit pool, and structured JSON responses designed to chain together.
Extract inputs
Turn documents, websites, and other sources into structured output.
Generate outputs
Create images, spreadsheets, and files from the same workflow state.
Image Transformation
Resize, crop, upscale, and convert images in one request.
Image Generation
Compose dynamic images from layers, text, QR codes, and fonts.
Document Generation
Generate PDF, DOCX, EPUB, and PPTX files from JSON content.
Sheet Generation
Generate XLSX and CSV sheets with formulas and styles.
EU AI workflow runtime
Run document, image, and file steps through one EU-hosted workflow layer with shared API conventions and billing.
You're dealing with this every day
Here's what changes when you stop juggling tools and start building pipelines.
Directories list narrow tools
Many MCP servers expose one useful action but stop there. Real content work needs extraction, conversion, image processing, and generated output in the same tool set.
Multiple tools, one server
Document extraction, document-to-markdown, website extraction, image transformation, document generation, image generation, and sheet generation are exposed through one MCP server.
Tool outputs do not connect
When teams lack an approved agent toolkit, client files move through whatever parser, chat tool, or generator gets the work done first.
Typed outputs assistants can use
Tools return structured JSON, clean Markdown, generated files, and predictable errors so your assistant can inspect results and decide the next step without guessing.
Tool outputs do not connect
A document tool returns text, an image tool returns a file, and a generation tool expects structured input. The assistant needs predictable schemas between steps, not disconnected actions.
Interactive now, API later
Start in Claude, Cursor, or Windsurf through MCP. When the workflow becomes part of a product or backend job, use the same credentials and credit pool through REST or SDKs.
Real-world pipelines, ready to ship
Each recipe chains multiple APIs into a complete workflow. Pick one, tweak it, and deploy — or use it as a starting point for your own pipeline.
Compress Image to Target File Size
Compress an image to fit within a specific file size in bytes using quality-first compression.
Convert Document for Knowledge Base
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
Convert Document for RAG Ingestion
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
Convert Image Format
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
Convert Website to Markdown for RAG
Extract clean title, summary, markdown sections, and source metadata from a public documentation page for RAG ingestion.
Convert Document to Markdown
Convert PDF, DOCX, HTML, or image documents to clean, structured Markdown.
Official SDKs for every major language
Install the SDK, set your API key, and start chaining requests. Full type safety, automatic retries, and idiomatic error handling included.
European by design
Your data is processed on EU-hosted infrastructure and never stored beyond temporary logs. Zero data retention, GDPR-compliant workflows, and a Data Processing Agreement are available for every customer. Learn more about our security practices .
EU-hosted core processing
Application and processing infrastructure runs in Europe, with provider-scope ISO 27001 and BSI C5 evidence documented for procurement reviews.
Zero data retention
Customer files and processing results are not stored after the request. Usage logs are retained for 90 days and automatically deleted.
Clear answers for security teams
Give reviewers the answers they need up front: where files are processed, what is retained, which subprocessors are involved, and how AI inputs, outputs, review gates, and audit records move through each workflow.
Pricing
Start usage-based. Switch to a subscription when your volume becomes predictable.
Usage-based
Graduated pricing. Your effective rate decreases automatically as monthly usage grows.
- No monthly commitment
- Pay only for credits used
- Automatic volume discounts as usage grows
Predictable volume
Fixed recurring credit packs with lower effective credit prices for steady usage.
- Lower effective per-credit prices
- Fixed recurring credit packs
- Predictable monthly budget
Try Iteration Layer with 100 credits
Start with one shared trial pool before choosing subscription or pay-as-you-go billing.
Solving real problems, step by step
Vendor sprawl, GDPR headaches, broken pipelines — we wrote about the problems you're facing and how to fix them.
Shadow AI Needs an Approved Toolchain
Employees use AI tools when official channels are too slow. Give agents a controlled toolkit before client documents move through unmanaged paths.
Building AI Agents That Process Documents: MCP, Structured I/O, and Confidence Routing
Build an AI agent pipeline that extracts document data, evaluates confidence scores, and routes to report generation or human review — using MCP and composable APIs.
MCP First, REST Later: How AI Workflows Mature into Production Pipelines
Use MCP to discover the workflow, then move stable document and image processing paths into REST, SDKs, or automation.
Frequently asked questions
How is this different from the AI Agents page?
Which MCP clients can I use?
What tools does the MCP server expose?
Can MCP tools chain together in one assistant session?
Do I need API keys inside my MCP client?
Can I move from MCP to production API usage?
Build your first workflow in minutes
Chain our APIs into a workflow you can test with your own data during the 7-day trial.