5 Ways to Connect AI Agents to Tools: From APIs to MCP

5 Ways to Connect AI Agents to Tools: From APIs to MCP

by Grant Miller

Applied Sciences & Engineering AI — News & Applications UYComputer scienceUYQArtificial intelligence (AI)
🎙 Grant Miller 👥 1.8M 📅 August 16, 2026 ⏱ 11 min 👁 306 📄 tutorial 🧭 2026-08-16
Available in: English (current) Français

Keywords

AI agentstool integrationMCPOAuthtoken exchange

Summary

The video presents five patterns for connecting AI agents to external tools, ordered from simplest to most secure. Pattern 5 is a direct connection using existing API keys, offering simplicity but lacking user visibility. Pattern 4 adds OAuth flows for user authentication, introducing impersonation and long-lived credentials. Pattern 3 introduces the Model Context Protocol (MCP) as an abstraction layer, decoupling agents from tool-specific APIs. Pattern 2 incorporates token exchange and on-behalf-of delegation, authenticating both user and agent, and improving observability. Pattern 1, the most secure, adds a vault to store long-term tokens and issue short-lived credentials to MCP, minimizing credential exposure. The presenter, Grant Miller, explains each pattern with pros and cons, emphasizing security and scalability. The video is a concise tutorial aimed at developers and architects designing agentic systems.

130 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a valuable overview of integration patterns, clearly articulating the trade-offs between simplicity and security. The argumentation is logical, progressing from basic to advanced patterns, and each pattern is justified with concrete pros and cons. The presenter’s explanations are accessible, making the content useful for practitioners. However, the video lacks concrete examples or code snippets, which would strengthen the practical value. The discussion of security implications is particularly insightful, highlighting the evolution from direct connections to token-based architectures.

Scientific Rigor, Source Quality, Title Accuracy

The video is produced by IBM Technology, a reputable source in the field. The content is consistent with industry knowledge, though no specific sources are cited within the video. The description includes links to IBM resources, but these are promotional rather than academic references. The title accurately reflects the content, which is a clear enumeration of five patterns. The video does not delve into academic literature, but its practical focus is appropriate for a tutorial format. The lack of citations is a minor weakness, but the information is generally reliable.

185 words

Title / Content Match

The title accurately reflects the content, which enumerates five distinct patterns for tool integration, from direct APIs to MCP with vaults.

Quality & Reliability

7/10

The video provides a clear, structured overview of five patterns for connecting AI agents to tools, with practical pros and cons. It is produced by IBM Technology, a reputable source, and the content aligns with industry practices. However, it lacks in-depth technical detail and citations to specific sources, limiting its depth for advanced practitioners.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Concurring Sources

  • Model Context Protocol (MCP) — The video discusses MCP as an abstraction layer, and this is the official site.
  • OAuth 2.0 — The video mentions OAuth flows for authentication, and this is a standard reference.

Contribution & Novelties

The video provides a clear, structured taxonomy of integration patterns, which is useful for practitioners. It highlights the evolution from simple API connections to secure token-based architectures, emphasizing security considerations. The inclusion of MCP and vaults reflects current trends in agentic AI. The video is a concise tutorial that can help developers choose the right pattern for their use case.

Pour aller plus loin :

  • Model Context Protocol (MCP) — Official documentation for MCP, the abstraction layer discussed.
  • OAuth 2.0 — Overview of OAuth 2.0, the authentication framework used in pattern 4.
  • Token Exchange — RFC 8693 on OAuth 2.0 Token Exchange, relevant to pattern 2.
  • Vault by HashiCorp — A tool for managing secrets and issuing short-lived credentials, as mentioned in pattern 1.

124 words

Radar Profile

The radar profile shows balanced scores across all dimensions, with slightly lower technical depth and information quantity. This indicates a solid introductory tutorial that is reliable but not highly detailed. The high reliability score reflects the trusted source, while the moderate technical level suggests it is accessible to a broad audience.

Reliability 7/10

💬 No comments were provided for analysis.