Organizations have several options for enabling AI tool use:

Bespoke Integrations (Custom Tools)

• Pros: Straightforward for single integrations, full control, potentially more efficient
• Cons: Doesn't scale well, siloed development, high maintenance, duplicated effort

Plugin-Based Systems (Platform-Specific)

• Pros: Tight integration with host platform, user consent flows, possibly easier for end-users
• Cons: Vendor lock-in, limited scope, fragmentation across AI platforms

MCP (Open Standard)

• Pros: Interoperability, modularity, vendor-agnostic, growing ecosystem
• Cons: Implementation complexity, some performance overhead, security considerations, early maturity

"The choice depends on your specific needs: MCP excels for complex, multi-tool AI assistants, while simpler or highly sensitive applications might benefit from more targeted approaches."