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MCP Demo

by shadmaanAsif

MCP Explorer

A hands-on project for learning MCP (Model Context Protocol) by building both halves of the protocol ourselves — a server, then a client — one small, understandable step at a time.

This README is also published as a browsable page: MCP Explorer. It mirrors everything here — keep both in sync as the plan changes.

MCP Server

This half of the project is the one built so far: a real MCP server, growing in stages.

Overview

This repo starts as small as an MCP server can possibly be: one file, one tool, no extra layers. From there, it grows in stages — each one adding a single new concept (a second tool, input validation, a real API, error handling) until it looks like something you'd actually use.

The point isn't to rush to a "real" server. It's to build enough small, working versions that each new MCP concept has somewhere to attach itself in your head.

What is MCP?

MCP (Model Context Protocol) is a standard way for an AI assistant to call out to external tools and data, instead of every app inventing its own custom integration. You write an MCP server that exposes a small set of capabilities — mainly tools (functions the assistant can call) — and any MCP-compatible client (Claude Desktop, Claude Code, etc.) can discover and use them the same way. Think of it like a USB port for AI assistants: one common plug, many different devices behind it.

Initial Setup (Stage 1)

Stage 1 is deliberately as small as a working MCP server can be: a server with a single tool that adds two numbers.

Folder structure

Originally this was one flat package (one package.json, one src/, shared by both the server and the custom client). As of 06-monorepo-server-client-split, server and client are fully separate npm packages in an npm-workspaces monorepo — each with its own package.json (so each declares only the dependencies it actually uses — the client never needed zod, for instance) and its own build/ output:

MCP-Explorer/
├── .gitignore
├── README.md
├── package.json          # workspace root: no code, just wiring
├── tsconfig.base.json     # compiler options shared by every package
└── packages/
    ├── server/
    │   ├── package.json   # @mcp-explorer/server — its own deps, build, start
    │   ├── tsconfig.json   # extends the base config, sets rootDir/outDir
    │   └── src/
    │       └── index.ts
    └── client/
        ├── package.json   # @mcp-explorer/client — its own deps, build, start
        ├── tsconfig.json
        └── src/
            └── client.ts

Here's why each piece exists — nothing here is optional scaffolding:

  • Root package.json — declares the workspaces field (packages/*) so npm install at the root links both packages together and hoists shared dependencies into one node_modules. Its scripts just forward to the right package (npm run build builds both; npm start / npm run client each target one workspace), so the top-level commands you already know didn't change.

  • tsconfig.base.json — the compiler options (target, module, strict, etc.) both packages need are identical, so they live once here instead of being copied twice. Each package's own tsconfig.json extends this and only adds its own rootDir/outDir.

  • packages/server/ and packages/client/ — each is a real, independent npm package: its own package.json (own name, own dependencies, own build/start scripts) and its own src/ → build/ pair. Splitting them this way means the client can never accidentally depend on something only the server needs (or vice versa) — the two halves of the protocol stay genuinely decoupled, not just organized into different folders of one package.

  • .gitignore — keeps every node_modules/ and build/ (server's, client's, and the root's) out of version control. Neither belongs in git history; the pattern matches at any depth, so one .gitignore still covers both packages.

Nothing else exists yet beyond this split — no shared internal package, no test framework. Those would be answers to problems this project doesn't have yet.

Dependencies

Now split per-package, matching what each half of the protocol actually needs:

  • @modelcontextprotocol/sdk (both packages/server and packages/client) — the official library that implements the MCP protocol itself (message formats, the server/client objects, the transport). Without it we'd be hand-writing JSON-RPC message handling.

  • zod (packages/server only) — a schema library. When we register the add tool, we use zod to say "this tool takes two numbers, a and b." The SDK uses that schema for two jobs at once: telling MCP clients what shape of input to send, and rejecting bad input at runtime. The client never validates a schema itself, so it never needed this dependency — a concrete example of why the split makes the dependency list honest instead of shared-and-unused.

  • typescript / @types/node (root-level devDependencies, dev-only) — the compiler itself, and type definitions for Node's built-in APIs. These live at the root rather than duplicated in both packages, since it's the same build tooling either way, not something specific to the server or the client.

A note on zod here: giving the add tool a schema is not "Stage 2's input validation" — it's just how any MCP tool declares its shape, even the simplest one. Stage 2 (below) builds on top of this with richer validation: a custom rule with its own error message, not just a type.

The one tool: add

src/index.ts does three things, in order:

  1. Create a server — new McpServer({ name, version }). This is the object a client talks to.

  2. Register one tool — server.registerTool("add", { ...schema... }, handler). The handler receives already-validated { a, b } and returns their sum as a text result.

  3. Connect a transport — StdioServerTransport. "stdio" means the client talks to this process over its stdin/stdout, rather than over a network port. It's the simplest possible way to run an MCP server: the client just launches the process and starts writing/reading.

That's the whole mental model for Stage 1: server → tool → transport. Everything MCP does at a larger scale is built from these same three pieces.

Stage 2 — Second tool + input validation (this branch)

Stage 2 adds one more tool, divide, specifically to show what validation looks like once "wrong type" isn't the only way a call can be bad.

Why divide, not something else

add only ever needed zod to describe a shape: two numbers, no further rules — any two numbers make a valid call. divide needs a rule on top of that shape: b can be any number except zero. That's exactly the distinction Stage 1's note above was pointing at — a business rule, not just a type.

b: z
  .number()
  .refine((value) => value !== 0, {
    message: 'b must not be zero — division by zero is undefined'
  })
  .describe('The denominator (must not be zero)')

.refine() layers a custom check on top of the base z.number() type check, with its own error message — that message is what the caller actually sees when the rule is broken.

What happens on bad input — verified, not assumed

Calling divide with a: 10, b: 0 never reaches the handler function at all. The SDK validates arguments against the schema before your code runs, and returns this instead:

{
  "content": [{ "type": "text", "text": "MCP error -32602: Input validation error: Invalid arguments for tool divide: b must not be zero — division by zero is undefined at b" }],
  "isError": true
}

Two things worth noticing here:

  • isError: true — this is a tool-level error result, not a JSON-RPC protocol error and not a crash. The server keeps running; the client is just told this particular call failed, with a message tracing straight back to the .refine() message above.

  • The handler's console.error('[mcp-demo] divide called...') never prints for this call. Validation genuinely happens before your code ever sees the input — you don't need to (and shouldn't) re-check b !== 0 yourself inside the handler.

Try it yourself

Through the Inspector: call divide with a: 10, b: 2 (works, returns 5), then a: 10, b: 0 (rejected, with the message above).

Stage 3 — Connect to a real data source / API (on main)

Stage 3 adds get_weather(latitude, longitude), calling Open-Meteo (free, no API key) for current temperature and wind speed. It's the first tool doing real I/O instead of pure math.

const response = await fetch(url);
if (!response.ok) {
  return { isError: true, content: [{ type: 'text', text: `Open-Meteo returned ${response.status} ${response.statusText}` }] };
}

The try/catch around the fetch catches network failure (DNS, unreachable host) the same way divide's .refine() catches bad input — as a normal isError: true result, not a crash. Verified both paths directly: a real call against Open-Meteo, and a call against a deliberately unreachable host, which returned Failed to reach Open-Meteo: fetch failed instead of an unhandled rejection.

This is deliberately not Stage 4's job yet — no retries, no timeout, no partial-data handling. Just: don't let the process die when the network doesn't cooperate.

How to Run

npm install
npm run build
npm start

npm run build compiles both packages (packages/server/src/index.ts → packages/server/build/index.js, and the client the same way); npm start runs the compiled server specifically. (There's also npm run dev, which just does both in one step.) These are root-level scripts that forward to the right workspace — you never need to cd into packages/server yourself.

On its own, the server will print mcp-demo server running on stdio to stderr and then just sit there — that's expected, not a hang. Keep reading to see why, and how to actually talk to it.

Understanding the Inspector

Why the server does nothing by itself

An MCP server never acts on its own — it only responds when a client sends it a request. Normally that client is a real AI assistant (Claude Desktop, Claude Code, etc.) deciding on its own when to call a tool. Since we don't have one of those wired up yet, we use the MCP Inspector: a small web UI that plays the role of "the client" — except you click the buttons instead of an AI deciding to.

You (clicking buttons)  →  Inspector  →  your server (packages/server/build/index.js)

Two things worth knowing about what's actually happening:

  • Your server and its client talk in JSON-RPC — small JSON messages like {"method":"tools/call","params":{"name":"add","arguments":{"a":2,"b":3}}} — sent over the server process's stdin, with replies written back over its stdout.

  • The Inspector is what actually launches your server and sends it those messages. The browser page itself doesn't speak MCP at all — it just tells the Inspector (via its own local proxy) what to send, and shows you what comes back.

Step by step: testing add

  1. Build the server (from inside this project folder — the next command uses a relative path):

    npm run build
  2. Start the Inspector, also from inside this folder:

    npx @modelcontextprotocol/inspector node packages/server/build/index.js
  3. It prints a URL with a security token, e.g. http://localhost:6274/?MCP_PROXY_AUTH_TOKEN=<token>. Open that exact URL. (The token just proves it's really you talking to your own local Inspector — it isn't part of MCP itself.)

  4. Confirm Command is node and Arguments is packages/server/build/index.js, then click Connect.

  5. The Tools tab fills in by itself with add — that's the Inspector automatically calling tools/list right after connecting.

  6. Click add, type numbers into a and b, click Run Tool — the sum comes back as the result.

One instance per connection — not the same as npm start

Every time you click Connect, the Inspector spawns a brand-new copy of your server — a separate running process from any npm start / npm run dev you might already have open elsewhere. Same code, but two independent instances that share nothing: nothing sent to one shows up in the other. If you're testing through the Inspector, the terminal running npm start isn't part of that loop at all — you can ignore it.

What you actually need running

To test a tool through the Inspector, this is the complete list — nothing else:

  1. The server is built — npm run build has run at least once (and again after any edit), so packages/server/build/index.js exists and is current.

  2. The Inspector is running — from inside this folder: npx @modelcontextprotocol/inspector node packages/server/build/index.js.

  3. The token is copied and pasted — when it starts, the Inspector prints a URL like http://localhost:6274/?MCP_PROXY_AUTH_TOKEN=<token>. Copy everything after TOKEN= and paste it into the Configuration panel's Proxy Session Token field. Command/Arguments should be node / packages/server/build/index.js.

  4. You've clicked Connect.

Notice npm start / npm run dev isn't on that list. It's easy to assume "the server" needs to be running separately, but it doesn't — the Inspector builds nothing itself, but as long as packages/server/build/index.js already exists on disk, it's entirely self-sufficient.

Where your own logs show up

The add handler logs each call:

console.error(`[mcp-demo] add called with a=${a}, b=${b}`);

This uses console.error (stderr), never console.log (stdout) — stdout is reserved for the JSON-RPC replies themselves, so anything else printed there would corrupt the protocol. The Inspector captures the spawned server's stderr and shows it inside its own UI — not in whatever terminal you happened to launch npx @modelcontextprotocol/inspector from.

Roadmap

Every stage (and every side exploration) below gets its own git branch. The habit is: branch → build → understand it → merge into main → branch again for the next thing. Nothing moves to main until it's understood, not just working.

Branch numbering: starting from this point, every new branch — a numbered stage or a side exploration — also gets a global sequence number prefix (NN-description), so the branch list alone shows true creation order, not just which stages happen to be numbered. stage-1-basic-server and explore-mcp-client predate this convention (they'd be #1 and #2) and keep their original names. Branch #3 turned out to be a side exploration too (03-claude-md-constitution, adding CLAUDE.md) rather than Stage 2 — proof the counter really is global and doesn't reserve numbers for stages in advance. Stage 2 landed as 04-stage-2-second-tool-validation, Stage 3 as 05-stage-3-real-data-source, and #6 was another side exploration (06-monorepo-server-client-split, splitting server/client into separate npm-workspace packages) — anything after that gets whatever number comes next when it's actually created.

flowchart LR
    S1["Stage 1<br/>Basic server<br/>+ one tool"] --> S2["Stage 2<br/>Second tool<br/>+ input validation"]
    S2 --> S3["Stage 3<br/>Real data source<br/>/ API"]
    S3 --> S4["Stage 4<br/>Error handling<br/>+ real-time use case"]
  1. Stage 1 — Basic server + one trivial tool (on main) A server exists, and it can do exactly one thing (add). Goal: understand server / tool / transport as separate concepts.

  2. Stage 2 — Second tool + input validation (on main) Add a second, slightly less trivial tool, and lean harder on zod — rejecting bad input with clear errors rather than trusting the caller. Goal: see how multiple tools coexist, and what "validation" means beyond just typing. Branch: 04-stage-2-second-tool-validation

  3. Stage 3 — Connect to a real data source / API (on main) Swap a toy tool for one that does real (async) work — calling a public API or reading real data. Goal: handle async operations and things that can be slow or unavailable. Branch: 05-stage-3-real-data-source

  4. Stage 4 — Error handling & a real-time use case Harden the server against failures (bad responses, timeouts, partial data) and add something closer to a genuine use case. Goal: go from "it works when everything goes right" to "it behaves sensibly when it doesn't." Branch: 0N-stage-4-error-handling-realtime (number assigned when created)

Stages 1–3 are implemented and merged. Branch #6 (06-monorepo-server-client-split, this branch, not yet merged) is a side exploration in between: splitting the server and client into separate npm-workspace packages, not a numbered stage itself. Stage 4 above is the plan, not a promise of exact detail.

Next Steps

  1. Run npm install && npm run build, then confirm add, divide, and get_weather all still work — through both the Inspector (pointed at packages/server/build/index.js now) and npm run client.

  2. Once that makes sense, this branch is ready for a PR into main.

  3. Start Stage 4 (error handling + a real-time use case) on the next numbered branch afterward, now inside packages/server.

If anything above didn't need to exist for a tool to work, that's a sign it snuck in ahead of schedule — flag it before moving on.

Related MCP server: Math Addition MCP Server

MCP Client

Everything under MCP Server covers one half of the protocol: a program that answers requests. The other half is a client — something that spawns a server, connects to it, and calls its tools. The Inspector (above) is one example of a client, but it's a pre-built tool with a UI. This side of the project is about writing a minimal client from scratch instead, in plain code, to see that half of the exchange directly.

Status: built, on main. This isn't one of the four numbered server stages — it was a separate, parallel exploration (originally explore-mcp-client, merged via #2) for understanding the client side of MCP, and it's kept up to date as the server grows.

  • What it does: packages/client/src/client.ts spawns the server's compiled entry point directly from code (no Inspector, no UI), connects to it, calls listTools(), then callTool() against every current tool — add(2, 3), divide(10, 2), divide(10, 0) to show a validation rejection coming back as data (isError: true, not a thrown exception), and get_weather. Run it with npm run client from the repo root.

  • A detail from the monorepo split: since Stage 06-monorepo-server-client-split, server and client are separate packages with separate build/ output, so the client can no longer assume the server's compiled file is a sibling of wherever it's run from. It resolves the path itself, relative to its own file location:

    const serverEntry = path.resolve(import.meta.dirname, '../../server/build/index.js');

    This makes the client correct regardless of the current working directory it's launched from — the same property a real client like Claude Desktop needs, since it launches your server from wherever it happens to run, not from inside this repo.

  • Why it's worth doing: it confirms the client/server relationship holds regardless of who's on the client end — a human clicking buttons, or a few lines of TypeScript. It's also a convenient scripted way to re-check every tool at once, without the Inspector's manual clicking.

Available Tools

1 tool
addAdd two numbersB

Adds two numbers together and returns their sum.

ParametersJSON Schema
NameRequiredDescriptionDefault
aYesThe first number
bYesThe second number

TDQS

B3.1/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It states the operation is pure addition but discloses nothing about return format, numeric precision, integer vs float handling, or overflow behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero waste. Appropriately sized for the operation's triviality.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-param arithmetic tool with full schema coverage and no output schema, the description is minimally viable. It could do more on numeric semantics (float precision, edge cases) given no annotations and no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both parameters ('a', 'b') are documented in the schema, so the baseline is 3. The description adds nothing beyond the schema, e.g. ordering or numeric type constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Adds) and resource (two numbers) with the outcome (returns their sum). It's unambiguous, though with no siblings there's nothing to differentiate from.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no exclusions, no alternatives. For a trivial arithmetic tool this is largely self-evident, but the description provides no contextual guidance at all.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev0.1.0
    • First observedadd

TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

With only a single tool, there is no possibility of confusion or misselection between tools. The purpose (adding two numbers) is unambiguous.

Naming Consistency4/5

The lone tool 'add' uses a clear, simple verb, but with only one name there is no established convention to be consistent with. No violations exist, but the pattern is untestable.

Tool Count2/5

A single trivial tool is far too thin for any meaningful server scope, even a demo. The surface offers no room for a real workflow.

Completeness2/5

For an arithmetic domain, only addition is covered; subtraction, multiplication, and division are missing. Agents relying on this surface will hit dead ends for any non-additive task.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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