42 articles on MCP, APIs, AI architecture, and the HAPI Stack. Filter by topic, year, or keyword.
· 11 minOrcA's Ask, Plan and Act roles control what an AI agent may do with your MCP servers: explore safely, review a plan, then act. Learn why roles matter even with a capability graph, and when to use each one.
· 14 minOrcA 0.4 is a specialised harness for MCP and API work: connect any Streamable HTTP MCP server, load tools progressively to stop context bloat, edit the harness, and see capability context and plans. Free.
· 19 minBuild AI agents from the APIs you already have. Turn OpenAPI and Arazzo contracts into MCP tools, give the agent a transparent harness in VS Code, and manage it with audits, traffic analysis, and roles with agent platforms.
· 22 minEnrich your OpenAPI contract so HAPI, OrcA, and Clooney find the right tool at the right moment without bloating the context, using intent, effects, planning facts, client facts, and failure outcomes.
· 20 minDeterministic workflows are rigid and free tool calling guesses. Learn how intent-based HAPI contracts and Arazzo workflows work together so AI agents ask the right questions, respect confirmations, and re-plan after failures.
· 12 minOrcA 0.3 turns VS Code into an MCP traffic analyzer: chat with your MCP servers and see every tool call, LLM round, latency and token, with no telemetry.
· 6 minOrcA is the new VS Code extension of the HAPI MCP Stack: discover OpenAPI (Swagger) and Arazzo contracts, preview their MCP tools, run them locally on a free port, deploy them, and connect them to your AI assistant.
· 11 minAI agents can interpret a user's intent, but production workflows need deterministic execution. Learn how OpenAPI, Arazzo, HAPI Workflows, and MCP connect intent to governed API outcomes without shadow logic.
· 12 minHAPI Capability Graph and Capability Planning help AI agents discover the right MCP tools, identify missing information, and propose the next safe step. Add optional Jev from TypeSafe AI for structured semantic ranking.
· 3 minA series on adopting the Model Context Protocol without creating a second, hidden application behind it — technical debt, shadow implementations, scaling, and OAuth, all solved by treating MCP as an interface to what you already run.
· 15 minAI can generate an MCP server for any API in minutes — at 1,000 APIs, that's 1,000 implementations to own. Why the MCP Multiplication Tax is a bigger cost than tokens, and how to expose capabilities without reproducing them.
· 12 minWhy reaching for MCP elicitation usually means a tool's input contract has a gap; and how atomic, stateless APIs plus HAPI Workflows remove the need for it before it ever reaches the user.
Milano Software is using HAPI MCP to make reliable enterprise APIs accessible to AI without rebuilding its proven platform, across on-premise, air-gapped, hybrid, and cloud environments.
· 12 minTurn a production OpenAPI spec into a live MCP server, preview its tools for context bloat, and generate a ready-to-use AI agent system prompt, one CLI, zero code, zero rewrites.
· 12 minMCP is moving toward statelessness by spec. For HAPI MCP, that's not a new feature — it's validation of the architecture chosen from day one: MCP is a contract, not a server.
· 14 minAn MCP server that reimplements what your API already does becomes a shadow — code that looks right today and quietly drifts from the truth tomorrow. Here's how to keep MCP transparent instead.
· 7 minExploring why APIs will remain the stable foundation for software, even as MCP emerges as a new abstraction for AI agents.
· 4 minThe HAPI MCP Registry's acceptance in the OpenAI ecosystem is revolutionizing API and AI integration, enabling ChatGPT finding MCPs from the official MCP Registry.
· 5 minDiscover how AI cost optimization strategies from database management can be applied to your AI projects. Learn about query optimization, indexing, and resource management to reduce costs while maintaining performance.
· 12 minHow large organizations are evolving their AI strategies from scattered experimentation to structured operational platforms, and why integration architecture is becoming the critical factor for success.
· 5 minOpenAI's Codex desktop app introduces a new model of software development where developers orchestrate multiple AI agents working in parallel, marking a shift from traditional IDE-centric workflows to agent-driven coding environments.
· 6 minWhy Model Context Protocol (MCP) alone isn't enough for scalable AI agent integration, and how to provide the missing layer of standardization
· 11 minLearn how 3-Legged OAuth2 (Authorization Code + PKCE) secures MCP apps for ChatGPT and Claude, with token isolation, consent, and enterprise-ready patterns.
· 6 minA practical guide to adopting MCP in enterprise environments without creating invisible technical debt.
· 6 minA comprehensive guide to self-hosting, deploying, and registering Model Context Protocol (MCP) servers using HAPI, Docker, and Cloudflare Workers.
· 8 minAgent Skills define what AI agents can do with explicit, governable capabilities. Learn how Skills replace prompt-only behavior with structured, auditable execution.
· 4 minUnlock the full potential of AI with our comprehensive guide to Skills, empowering developers to create smarter, more efficient applications.
A step-by-step guide to deploying MCP servers using HAPI CLI.
· 2 minA deep dive series into the architectural challenges of running Model Context Protocol in production at enterprise scale.
· 12 minStrategies to manage token bloat in MCP systems as tool catalogs grow.
· 10 minDiscover why traditional SDKs are becoming obsolete in the age of Agentic AI. Learn how Agent Skills enable smarter, more adaptable applications without rigid code structures.
· 6 minDiscover how the Lenny Rachitsky Podcast Transcripts MCP Server empowers marketers, product managers, and creators to extract insights and repurpose content effortlessly.
· 5 minDefining the MCP Connect Authority model: separating control-plane governance from data-plane traffic to enable secure, scalable, and decentralized AI systems.
Explore the differences between MCP Registries and Gateways, and understand why a Connect Authority is the superior choice for enabling secure, scalable MCP connections without a gateway.
A comparison of MCP Registry as a Connect Authority versus traditional MCP Gateway architectures.
· 9 minExploring why AI isn't always the right tool for every task in production systems, and how deterministic workflows can provide reliability and cost-efficiency.
· 6 minStep-by-step guide to turn any OpenAPI 3.0+ spec into a ChatGPT-ready MCP server using HAPI MCP and the OpenAI UI SDK. Fast deployment, validation, and optimization for Generative and Answer Engine search.
· 3 minInstead of rebuilding APIs, learn how composable architectures and MCP Gateways help enterprises move from API-First to AI-First.
· 5 minA step-by-step guide to integrating OpenAI's Response API with Model Context Protocol (MCP) using HAPI Server.
· 6 minA comprehensive guide on how to integrate OpenAI's SDK with MCP (Model Context Protocol) to enhance AI model interactions through dynamic tool calling.
· 4 minAn overview of threats and misleadings related to prompt injection in the context of MCP (Model Context Protocol).
· 10 minExploring the potential of OpenAPI Specification (OAS) v4 for AI tool integration and how it can complement Model Context Protocol (MCP).
