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Friedrichs IT Signet
Consulting • API Engineering • AI Integration

Make your APIs AI-ready
securely and production-grade

I design and build MCP-based integrations so AI agents can safely access your systems - with governance, auditability, and clear operational standards.

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20+ years building and scaling software platforms
Security-first APIs with governance and auditability
Delivery ownership from architecture to operations

Expertise

Over 20 years of experience in software architecture, development, API design, and automation. Nils Friedrichs delivers solutions that sustainably relieve companies and make their systems fit for the future.

APIs & Microservices

I build robust, secure, and future-ready APIs. From clean specification and documentation, to implementation, and governance — the APIs integrate seamlessly into complex system landscapes.

ConsultingAPI-DesignImplementation

AI & MCP

I design and implement MCP servers, gateways, and integrations that connect APIs with AI agents. This enables secure, auditable, and productive AI workflows — from prototypes to enterprise-scale solutions.

MCP-ServerMCP-GatewayWorkflow Automation

Software Development

I create tailored software solutions with PHP, Python, and React. From performant backends to scalable services and cloud functions — built on proven architecture principles for stability, extensibility, and maintainability.

PHPPythonReact

Workflow Automation

I establish automated pipelines and reproducible environments with Docker, Kubernetes, Terraform, and more. Security, governance, and AI-powered extensions ensure reliable and efficient software delivery.

TerraformDockerKubernetes
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How I help

  • AI integration architecture for real systems (APIs, data, workflows)
  • Security & governance by design: SSO/OIDC, scopes, audit logs, approvals
  • Delivery ownership from architecture to operations — rollout, reliability, observability

Availability

Based in Berlin, available for remote and hybrid projects.

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Tech Insights

In my blog, I explore topics around development, APIs, AI integration, and DevOps – not theoretically, but hands-on with real examples. This creates content that provides real value for both developers and decision-makers.
MCP Resources: Adding Climate Data to Your Weather Server

MCP Resources: Adding Climate Data to Your Weather Server

Extend MCP servers with Resources for read-only data. Add 30-year climate normals to the weather server, understand Resource Templates, and combine Tools + Resources for powerful AI workflows.

•12 Min. Lesezeit
AIMCPPythonAPIResources
Agent Skills vs MCP: Two Standards, Two Security Models

Agent Skills vs MCP: Two Standards, Two Security Models

A technical analysis comparing Anthropic's Agent Skills specification and Model Context Protocol - two different approaches to extending AI agents, with fundamentally different security implications for credential management and code execution.

•13 Min. Lesezeit
AIMCPSecuritySoftware ArchitectureAgent Skills
Building Your First Agent Skill: A Practical Guide

Building Your First Agent Skill: A Practical Guide

A hands-on tutorial for creating and using Agent Skills with Claude. Learn how to build a custom weather forecast skill from scratch, complete with Python scripts and API integration.

•11 Min. Lesezeit
AIMCPSecuritySoftware ArchitectureAgent Skills
Publish Once or Fragment Forever? About the State of MCP Registries

Publish Once or Fragment Forever? About the State of MCP Registries

From modelcontextprotocol.io's Registry Preview and Generic Registry API to GitHub, Docker, Azure, Smithery, Raycast, MCP.so, PulseMCP, and FluidMCP—what MCP registries actually do and how to choose.

•7 Min. Lesezeit
AIMCPRegistryAPIGovernance
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