Model Context Protocol: Build Production-Ready AI Integrations
2. Building Your First MCP Server
Build a working MCP server that exposes useful tools, resources, and prompts.
2.1 – Development Environment and SDK Setup (link to this section)
Set up tools, SDKs, and local workflow needed to build and inspect an MCP server.
Development Environment and SDK Setup
Goal
Set up a repeatable MCP development loop.
Install a supported runtime, choose an MCP SDK, create a server project, and run it locally through an inspector or compatible host.
Checklist
- Project initialized with dependency management.
- Server entry point runs locally.
- Configuration is separated from code.
- Inspector/client can list capabilities.
- Logs are readable during tool execution.
Deliverable
A repository skeleton ready for tools, resources, prompts, tests, and deployment configuration.
2.2 – Your First MCP Tool (link to this section)
Implement a simple tool, define its input schema, return structured output, and call it from an MCP client.
Your First MCP Tool
Goal
Implement a simple MCP tool end to end.
Build
Define a tool name, natural-language description, input schema, validation rules, handler function, and structured response. Keep the first tool deterministic and side-effect free.
Quality bar
- Clear tool name.
- Narrow purpose.
- Required and optional parameters are explicit.
- Errors are returned in a model-actionable way.
Exercise
Create a summarize_note or lookup_customer tool and test valid, invalid, and empty inputs.
2.3 – Designing Tool Interfaces (link to this section)
Learn how to design tools that are useful to models, safe for users, and stable for developers.
Designing Tool Interfaces
Goal
Design tools that models can use reliably and safely.
Principles
- Prefer task-level operations over leaky low-level primitives.
- Make side effects obvious in names and descriptions.
- Use typed, constrained parameters.
- Return concise structured data plus human-readable summaries.
- Separate read, draft, and commit operations.
Anti-patterns
run_any_query, do_action, and tools with vague parameters such as data or options.
Assignment
Rewrite three vague tools into model-friendly MCP tool definitions.
2.4 – Exposing Resources (link to this section)
Add resources so models can retrieve contextual information from files, systems, or application state.
Exposing Resources
Goal
Expose readable context through MCP resources.
Resources are named pieces of context, commonly represented with URIs. They are ideal for files, records, documents, settings, and current application state.
Design choices
- Static vs dynamic resources.
- URI naming conventions.
- Metadata and freshness indicators.
- Access checks before read.
- Summaries for large resources.
Exercise
Design resource URIs for a notes app, a CRM account, and a project ticket.
2.5 – Prompts and Reusable Workflows (link to this section)
Use MCP prompts to package reusable instructions and workflows for clients.
Prompts and Reusable Workflows
Goal
Package repeatable workflows as MCP prompts.
Prompts let a server publish reusable instruction templates that clients can invoke with arguments. They are useful for standardized analysis, onboarding flows, operational runbooks, and tool-guided tasks.
Good prompts
- Have a clear job.
- Accept named arguments.
- Reference available tools/resources.
- Encode team conventions.
- Are versioned when behavior changes.
Assignment
Create a prompt for investigating a customer support escalation.
2.6 – Mini Project: Personal Knowledge MCP Server (link to this section)
Build a local MCP server that exposes a small knowledge base through resources and search tools.
Mini Project: Personal Knowledge MCP Server
Goal
Build a local knowledge MCP server.
Requirements
- Index or read a small folder of notes.
- Expose at least one resource type.
- Implement two tools, such as
search_notesandget_note. - Add one reusable prompt for synthesizing notes.
- Test discovery and execution in an MCP client or inspector.
Reflection
What context should be returned directly, summarized, or withheld? Document your decisions in the repository README.
Practise this chapter in the workspace
Reading is the map. Every section above also runs as a hands-on workspace session with tools, exercises and a recap quiz.
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