apidays Munich 2025 - Integrate Your APIs into the New AI Marketplace, Senthil Avinash (Postman)

Integrate Your APIs into the New AI Marketplace
Senthil Avinash, Strategic Solutions Engineer at Postman

apidays Munich 2025 - Accelerate AI Use Cases with APIs
July 2 & 3, 2025

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Transcript

1. All rights reserved by Postman Inc Senthil Avinash Strategic Solutions Engineer, Postman Integrate your APIs into the new AI Marketplace
2. • Strategic Solutions Engineer driving API- first innovation at Postman • AWS Certified AI Practitioner • Previously at Salesforce & Guidewire, enabling financial services and insurers with API-led transformation • Volunteer photographer at Ronald McDonald House Charities of Denver • Based in Denver, CO – enjoys hiking and biking in the Rockies About me GET api.getpostman.com/me
3. Large Language Models (LLMs) are becoming active agents, needing access to tools and data to perform complex tasks. This will create a new marketplace for your services. AI is evolving The new AI Marketplace
4. Integration Challenge The M×N Problem • Each AI model needs unique connections to every service. • This complex setup slows progress and costs more to maintain. • Scaling AI is impossible without a simpler, unified solution
5. Solution Model Context Protocol (MCP) • MCP is a standard protocol for AI to use tools and data. • It simplifies integration reducing complexity to M+N. • Provides a consistent way for LLMs to connect to various external resources
6. MCP Architecture How It Works • MCP Hosts are AI apps where users interact. • MCP Clients manage secure connections to Servers. • MCP Servers expose capabilities from existing APIs.
7. MCP Flow Typical Communication Flow • User Interaction: User submits a query to the Host. • Host Processing & Connection: Host identifies required external capabilities and connect to Server(s). • Capability Discovery & Invocation: Client queries Server for available tools and fetches capabilities to use. • Server Execution and Result: Server performs an action and returns results to Client. Client send results to Host.
8. Tools => APIs Agents need tools. Those tools are your APIs…
9. • APIs are now for AI agents, not just developers. • Design APIs as logical tools AI can easily use. • APIs need machine-readable metadata for AI discovery. • Measure success by AI Agents usage. AI Ready Preparing APIs for Agents
10. • Centralize & Organize APIs • Make APIs Discoverable • Document and add Rich Types. • Test and monitor APIs • Share APIs with stakeholders API Standard Ready for MCP Consumption To make your API consumable by the Model Context Protocol (MCP), expose your endpoints in a way that MCP-compatible clients and AI assistants can discover, understand, and invoke them securely and efficiently.
11. • Use OAuth 2.0 / RBAC for secure access • Encrypt data (TLS 1.2+ and at rest) • Apply rate limiting, IP whitelisting, and input validation • Use secure CI/CD with code scanning and reviews • Enable MFA and manage credentials securely • Follow least privilege access • Stay alert to phishing; update passwords/software • Review app permissions and data sharing Security Best Practices Developers & Users
12. • MCP is backed by Anthropic, Google, Microsoft and OpenAI. • Many companies are rapidly adopting MCP. • A large open-source community supports MCP's growth. • MCP Catalog - public workspace of curated ready-to-use MCP servers. MCP Momentum A Growing Ecosystem
13. • Supporting MCP builds AI-native platforms. • MCP lets AI agents leverage your services. • Ignoring MCP risks platform isolation and irrelevance. Strategic Decision Enabling the Future Enable the Future or Fall Behind NOW IS THE TIME TO ACT!!
14. Educate teams on MCP and API design changes. Evaluate existing APIs for MCP mapping. Experiment with MCP prototypes and tooling. Educate Evaluate Experiment Action Plan Leverage Context Aware API Platforms
15. Thank You!