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Enhance GitHub Copilot using MCP - Enterprise version.pdf
Slide deck related to the GitHub Copilot Bootcamp in Melbourne on 17 June 2025
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Similar to Enhance GitHub Copilot using MCP - Enterprise version.pdf
Enhance GitHub Copilot using MCP - Enterprise version.pdf
- 1. Nilesh Gule @nileshgule Enhance GitHubCopilot using MCP Enterprise version
- 2. $whoami { “name” : “NileshGule”, “website” : “https://www.HandsOnArchitect.com", “github” : “https://GitHub.com/NileshGule" “twitter” : “@nileshgule”, “linkedin” : “https://www.linkedin.com/in/nileshgule”, “YouTube” : “https://www.YouTube.com/@nilesh-gule” “likes” : “Technical Evangelism, Cricket”, }
- 3. MCP – newestkid in town MCP Host LLM application that needs access to external capabilities MCP Clients Protocol client that maintains 1:1 connection with servers inside host app MCP Servers Lightweight programs that each expose specific capabilities and provide context, tools and prompts to clients MCP Protocol Transport layer in the middle
- 4. Converging Agentic Extensibilitywith MCP Multi-Service Integration Agents or orchestrators can flexibly call a wide range of external APIs/tools Reusable Tools Once written the Tool can be used by any MCP-compatible client with minimal friction Enterprise Scalability Potential to unify multiple teams’ AI Integrations into a single product Ecosystem Momentum Anthropic, Perplexity, VS Code, Azure, Copilot Studio all support MCP; OpenAI & Google have announced plans GitHub star growth for MCP repo since launch (Dec 2024–Mar 2025). The project amassed over 15k stars within a few months, highlighting rapid developer traction
- 5. Model Context Protocolat Microsoft Copilot Studio VS Code Foundry Agent Visual Studio GitHub Copilot Microsoft Teams Semantic Kernel MCP Clients & Host Tools Community Enterprise Windows Registry C# MCP SDK Azure API Management Azure Functions Microsoft Connectors Build Local & Remote MCPs MPC enables seamless Integration between LLM Apps and external data sources Model Context Protocol
- 6. AI Gateway capabilitiesof Azure API Management AI Gateway Security & safety • Keyless managed identities • AI Apps & Agents Authorizations -New • Content Safety -GA • Credential Manager Resiliency • Weight load balancing • Priority routing to provisioned capacity models • Backend pools with circuit breaker • Session aware load balancing -GA Scalability • Token rate limits and token quotas • Semantic Caching -GA • Model load balancing • Multi-regional deployments Traffic mediation & control • Azure AI Foundry & Azure OpenAI • OpenAI compatible models -GA • Responses API -GA • WebSocket’s for Realtime APIs • MCP server pass-trough - Soon • Expose APIs as built-in MCP server - Preview Developer velocity • Wizard policy configuration experience • Self-service with the Developer Portal • API Center Copilot Studio connector - Preview • Policy Toolkit Observability • Token counting per consumer • Prompts and completions logging -GA • Built-in reporting dashboard -GA Governance • Policy engine with custom expressions • API Center MCP server registry - Preview • Federated API Management GA GA GA Soon GA GA GA GA Preview Preview GA Preview New
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- 8. /demo Expose existing APIas MCP server
- 9. TechTalks Application TechTalks Consumer TechTalksProducer Message Broker Polyglot Programming
- 10. /demo APIM Auth Gatewayfor MCP servers
- 11. Azure API Managementas Auth Gateway • Expose remote MCP servers in secure and scalable way • Security • API Management as remote MCP proxy safeguards organizational data through authentication and authorization • Scalability • Ensures system can handle load as the number of LLM interactions and external tools grows
- 12. MCP Client AuthFlow Azure API Management Your Auth Gateway For MCP Servers | Microsoft Community Hub
- 13. MCP will helpyour app/service grow Reach New Users Expose your capabilities through a variety of agents when the user needs them, getting users into your service. Accelerate User Tasks Agents can skip the learning curve with UI and get tasks done in seconds that would take the user tens of minutes. Agentic Capabilities for Less Integrate your servers into other agents if you don’t want to make your own. Easily make your own agent with MCP servers ready to go. Optimize Development Tools are for developers too! They can integrate into your development pipeline! Reducing toil and increasing speed. Easy Extensibility Provide an easy extensibility interface for services to integrate into your application, no new frameworks needed!
- 14. Summary • APIM streamlinesthe process of presenting APIs as MCP servers, enhancing security and scalability. • AI agents, like Copilot, are able to interact with enterprise APIs in a regulated manner, enabling new applications while maintaining oversight and safety. • OAuth 2.0 Authentication protects the MCP server, with APIM acting as the gatekeeper for the OAuth process. • The OAuth 2.0 framework utilizing Entra ID ensures that only permitted users are granted access to enterprise tools via MCP. • The MCP Inspector is a tool for developers aimed at testing and debugging MCP servers, akin to a visual debugger or “Postman” for MCP.
- 15. Examples Remote MCP APIMdotnet example Guide to building MCP Server in C#
- 16. Resources • Expose APIas an MCP server • Azure API Management Auth Gateway for MCP servers • Connect once integrate anywhere with MCP • MCP C# SDK • GenAI Gateway Labs • MCP Inspector • Build 2025 Book of News • MCP servers
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- 18. Nilesh Gule ARCHITECT |MICROSOFT MVP “Code with Passion and Strive for Excellence” nileshgule @nileshgule Nilesh Gule NileshGule www.handsonarchitect.com https://www.youtube.com/@nilesh-gule
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