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Apideck Unified API
Apideck Connector
In this article, we dive deep into what MCP actually is, how it works behind the scenes, and why it’s being called the “USB-C for AI models.” You’ll explore how it simplifies AI integrations, the roles of Hosts, Clients, and Servers, and the security risks developers need to keep in mind.
In this guide, we will explore several common API authentication methods, including Basic Auth, API keys, OAuth, OpenID Connect (OIDC), Integration System User (ISU), Hash-Based Message Authentication Code (HMAC), and Certificate Signing Request (CSR). For each method, we will discuss how it works, as well as the advantages and disadvantages associated with its use.
The most complete embedded finance companies landscape for 2026. 250+ providers mapped across 17 categories — BaaS, card issuing, payments, lending, compliance, payroll, investing, FX, insurance, and more. Data sourced from the Open Banking Tracker by Apideck.
Practical API integration best practices covering OAuth token lifecycle, pagination, idempotency, error handling, and rate limits — with code examples for accounting and fintech integrations.
OAuth 2.0 was designed for clients known at build time. As AI agents make runtime decisions, delegate to sub-agents, and traverse trust boundaries, the cracks are showing. A practical breakdown of MCP OAuth 2.1, A2A, AAuth, WIMSE, and what a production-grade agent auth architecture looks like today.
TL;DR: MCP tool definitions can burn 55,000+ tokens before an agent processes a single user message. We built the Apideck CLI as an AI-agent interface instead:an ~80-token agent prompt replaces tens of thousands of tokens of schema, with progressive disclosure via `--help` and structural safety baked into the binary. Any agent that can run shell commands can use it. No protocol support required.
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