We're going to build a live database together — right now.
Scan the QR code and submit your info. Then we'll query it with MCP!
You have 30 seconds — go go go! 🏃
The fastest transformation in how software gets built.
Up from 76% in ’24. 47% use AI daily.
180M+ devs. 986M commits. 1.1M+ repos import LLM SDKs.
66% of developers say AI gives answers that are “almost right” — 46% actively distrust AI. Why? It can’t reach your DB, CI/CD, or APIs.
Developers know what they want. The friction is in how.
Navigating dashboards, settings pages, and consoles just to run a query
Reading pages of API docs to find the right endpoint and parameters
Memorizing flags, syntax, and command structures across tools
Jumping between IDE, browser, terminal, and documentation
MCP is an open standard (by Anthropic) that provides a universal interface for AI models to interact with external tools, data sources, and services.
One protocol for all integrations
Community-driven, vendor-neutral
Mix & match servers freely
Actions the model can invoke
Data the model can read
Templates for interactions
Plug any of these into your AI editor and start talking to your tools
Create issues, PRs, manage repos — all from chat
Query, inspect schemas, explore data naturally
Run browser tests, scrape pages via AI commands
Query docs, infer schemas, vector search — our demo today!
// .vscode/mcp.json
{ "servers": { "my-server": { "type": "stdio", "command": "npx", "args": ["-y", "@package/mcp-server"] } } }
The database behind ChatGPT, powering AI at planetary scale
OpenAI chose Cosmos DB to handle its massive chat history, session state & user data — billions of requests with single-digit ms latency.
Multi-region writes, turnkey replication across any Azure region
Guaranteed <10ms reads & writes at any scale, backed by SLAs
DiskANN-powered vector index + hybrid search + semantic reranker for AI/RAG
MCP server, AI skills & agent integrations — built for the agentic era
MCP isn’t just for local dev — it powers production AI agents too
"Create a branch, query
my DB, and open a PR
with the fix"Growing adoption across AI hosts and tool providers
Using the Azure Cosmos DB MCP Server as our example —
natural language → real database queries in real time
It's simpler than you think — wrap any API, CLI, or service
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
const server = new McpServer({ name: "my-server" });
server.tool(
"search_issues", // tool name
"Find issues by keyword", // description for the AI
{ // input schema (Zod)
repo: z.string().describe("owner/repo"),
query: z.string().describe("Search keyword"),
},
async ({ repo, query }) => { // handler
const issues = await github.searchIssues(repo, query);
return {
content: [{
type: "text",
text: JSON.stringify(issues, null, 2)
}]
};
}
);
modelcontextprotocol.io
github.com/modelcontextprotocol/servers
No time for Q&A — but reach out anytime via any of these links!