Modules/Building MCP Servers: Connect AI to Everything/Production MCP: Authentication, Error Handling & Deployment
Lesson 3 of 3•Building MCP Servers: Connect AI to Everything0 of 3 complete (0%)
Production MCP: Authentication, Error Handling & Deployment
13 min
What you will learn
- Secure MCP servers with authentication and authorization
- Implement robust error handling and input validation
- Deploy MCP servers for remote access via HTTP/SSE transport
- Connect multiple MCP servers and debug connection issues
# Production MCP: Authentication, Error Handling & Deployment
Beyond the Basics
A working MCP server is step one. A production MCP server needs authentication, error handling, rate limiting, and deployment infrastructure. This lesson covers the engineering that makes MCP servers reliable at scale.
Error Handling
Never let unhandled errors crash your server. Wrap every tool handler:
server.tool(
"query_database",
"Run a read-only SQL query",
{ query: z.string().describe("SQL SELECT query") },
async ({ query }) => {
try {
// Validate: only allow SELECT queries
if (!query.trim().toUpperCase().startsWith("SELECT")) {
return {
content: [{ type: "text" as const, text: "Error: Only SELECT queries are allowed." }],
isError: true,
};
}
const results = await db.query(query);
return {
content: [{ type: "text" as const, text: JSON.stringify(results, null, 2) }],
};
} catch (error) {
return {
content: [{ type: "text" as const, text: `Database error: ${(error as Error).message}` }],
isError: true,
};
}
}
);Key patterns: - Validate inputs before executing (SQL injection prevention, path traversal, etc.) - Return `isError: true` so the AI knows the tool failed and can respond appropriately - Never expose stack traces to the client — log them server-side
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What you'll learn:
- Secure MCP servers with authentication and authorization
- Implement robust error handling and input validation
- Deploy MCP servers for remote access via HTTP/SSE transport