Tool-Surface Compression: Designing Systems for AI Agents
2,500 API endpoints. Expose every one of them as an MCP tool and you get, according to Cloudflare, 1.17 million tokens for tool definitions alone, before the
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ARTIFICIAL INTELLIGENCE
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AuthorMartin Buchleitner
Edmund Haselwanter
Juergen Brueder
Paul Strebenitzer
Matthias Theuermann
Marina Brooks
Infralovers Team
Theresa Wallas
Miriam Grainer
Jan Klare
n8n as Agentic MCP Hub: When Workflow Automation Learns to Think
Workflow automation used to be simple. Trigger fires, steps execute, data moves from A to B. Every branch is predetermined. Every outcome is scripted. The human
Beyond Copy-Paste: Building Backstage with AI-Assisted Development
How Claude Sonnet 4.5 and GitHub Copilot helped us navigate the maze of custom Backstage integrations The Backstage Promise (and the Reality) Spotify's
Running MCP Servers Declaratively with Toolhive on Kubernetes
Short read (~6–7 min) – focused on the operational side of Model Context Protocol (MCP) enablement. 1. Problem in Practice Single MCP servers are easy.
LiteLLM + MCP Integration: Connect LLMs to Tools Securely (With n8n Alternative)
Introduction Model access alone rarely delivers differentiated organizational value. Real leverage appears when language models can safely invoke tools
Postman MCP Server + GitHub Copilot: Turn Any API Into an AI Tool
The world of AI is evolving rapidly, and with it, the way we interact with APIs and infrastructure. At Infralovers, we're excited to explore how Postman's new
Model Context Protocol (MCP) Explained: Supercharge Your Enterprise AI
The Model Context Protocol (MCP) specification was introduced by AI research company Anthropic. Since its release, it has seen widespread adoption across
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