Integrations
Patterns for connecting AI assistants with websites, APIs, messaging channels, CRMs, and the systems your team already uses.
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MCP Authentication and Authorization Patterns for AI Agents
How to secure MCP servers with trusted identity, short-lived credentials, per-tool authorization, tenant isolation, delegated access, and misuse testing.
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AI Agent Observability: Trace Tasks, Tools and Outcomes
When an agent goes wrong, observability should let you answer what it saw, what it did, and where the workflow changed course.
2 min read -
Event-Driven AI Agents: Webhooks, Queues and Safe Actions
Event-driven agents become dependable when the event is verified, the work is queued, duplicate deliveries are harmless, and people can see what happens next.
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A2UI for AI Agents: Dynamic Interfaces Without Arbitrary Code
A2UI-style interfaces let an agent ask for the right screen at the right moment while the application keeps control of rendering and permissions.
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Where A2A Fits in a Business Integration Architecture
A2A is useful when another agent owns a capability or workflow. It is not a reason to turn every internal function into a networked agent.
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Connecting an Agent to a CRM Safely
Connecting an agent to a CRM is less about adding a connector and more about deciding what the agent may see, suggest, change, and send.
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Designing Tool Schemas Agents Can Use Reliably
How to design narrow, typed, observable tool interfaces that AI agents can call safely and recover from predictably.
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AI Agent Registries and Capability Discovery
An agent registry is a directory of agents and the capabilities they advertise. It can help a system find a specialist, but discovery is not proof of trust,…
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MCP and A2A Together: A Reference Architecture
MCP and A2A solve different coordination problems. MCP gives an agent a structured way to use tools, resources, and prompts. A2A helps agents communicate about work. A useful…
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A2A Tasks, Messages and Artifacts in Plain Language
A2A describes how one agent can discover and communicate with another agent. The basic objects are easier to understand when they are treated as parts of a business…
2 min read -
A2A vs MCP: How Agentic Systems Connect
A plain-language comparison of A2A and MCP, including when to use each protocol and how they can work together in a governed agent architecture.
1 min read -
MCP Client Integration: Connect Chatbots to Servers Safely
A current MCP client integration guide covering hosts, clients and servers, official SDK setup, transport choices, permissions, tool safety and testing.
6 min read -
MCP for RAG: Connect AI to Data and Tools Safely
Understand how MCP connects RAG applications to data and tools—and which retrieval, memory, authorization and security responsibilities remain in your application.
7 min read -
RAG with Web Search: Current Sources, Citations & Safety
A practical guide to adding web search to RAG: route queries safely, verify sources, show citations, protect private data and handle prompt injection or search outages.
7 min read -
MCP vs REST APIs: Differences, Trade-offs & When to Use Each
A practical comparison of MCP and direct API integrations: when each fits, how they work together, and what to validate for security, performance and maintenance.
6 min read -
Build an MCP Server: Tools, Resources, Security & Scaling
Learn how to build an MCP server with tools, resources and prompts—using the current TypeScript SDK, a suitable transport, and security controls your application still owns.
6 min read -
LLM API Gateway Design: Routing, Security & Reliability
When should you add an LLM gateway? Learn how to handle model routing, identity, usage limits, cache isolation, observability, prompt injection, and provider failure—without assuming a proxy makes…
7 min read -
RAG in Mobile Apps: Native, Cloud and Hybrid Integration
Compare server-side, on-device and hybrid RAG for mobile apps. Choose by data access, freshness, offline needs, battery, storage and security—not untested speed or SDK promises.
6 min read -
AI for Discord Communities: Support, Privacy & Moderation
A practical guide to Discord community support bots: use explicit commands, request minimal permissions, ground answers in approved sources, protect member data, and keep consequential moderation decisions human-reviewed.
6 min read -
Safer API Integrations for AI Chatbots: Identity, Permissions & Tool Calls
Secure chatbot-to-API integrations with task-appropriate identity, least privilege, backend authorization, bounded tools, safe logging, quotas and failure handling.
6 min read -
Safer Data Access for AI Chatbots: APIs, Views & Guardrails
Design safer chatbot data access with narrow APIs, least-privilege database roles, row and tenant checks, bounded queries, careful logs and deliberate write approval.
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AI Player Support: Safer In-Game Help and Game Guides
A practical guide for game studios planning AI player support: ground answers in current game content, protect player data, plan human escalation and measure outcomes honestly.
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AI Lead Qualification Chatbots: A Practical, Human-Centred Guide
Design a helpful AI lead-qualification chat: ask only relevant questions, avoid unsupported assumptions, protect visitor data, offer honest human handoff, and measure outcomes beyond lead volume.
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GraphQL for RAG: When It Fits and How to Secure It
Learn when GraphQL suits a RAG application, where retrieval and authorization still belong, and how to limit query cost, protect mutations and evolve schemas safely.
5 min read