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mcp-hello-typescript-server

by mitchallen

mcp-hello-typescript-server

ci image-scan npm-audit publish

Docker Hub image size Docker pulls GHCR License: MIT

A minimal MCP server built with TypeScript and the official @modelcontextprotocol/sdk — a good starting point for a new server or a demo. It exposes just two tools:

  • server_info — a health/status check.

  • greet — a friendly greeting in one of a handful of languages, defaulting to English. Ask it to "greet in French" and it replies Bonjour!.

Built with TypeScript, the TypeScript SDK, and make. It is the TypeScript port of the sibling Python mcp-hello-server, following the official MCP Build a server (TypeScript) reference. The Docker image compiles the TypeScript and runs it on a distroless Chainguard/Wolfi Node base — no shell, no package manager, non-root.


Quick start — demo an MCP server in 2 minutes

New to MCP? This is a tiny, safe server for seeing how an MCP client discovers and calls tools. Every tool is a harmless in-memory lookup, so it's a good sandbox. All you need is Docker and an MCP client — the steps below use Claude Code and the published Docker image (nothing to build or install).

Already running one of the sibling hello servers? The Python mcp-hello-server (alias hello), Go mcp-hello-go-server (alias hello-go), and Rust mcp-hello-rust-server (alias hello-rust) expose the same server_info / greet tools, so it's easy to test the wrong one. Remove any you don't want registered so your client only talks to hello-ts:

claude mcp list                # see what's registered
claude mcp remove hello        # the Python server, if present
claude mcp remove hello-go     # the Go server, if present
claude mcp remove hello-rust   # the Rust server, if present

1. Add the server. Claude Code launches the container per session and talks to it over stdio:

claude mcp add hello-ts -- docker run -i --rm -e MCP_TRANSPORT=stdio ghcr.io/mitchallen/mcp-hello-typescript-server:latest

2. Confirm it connected:

claude mcp list        # "hello-ts" should report ✔ Connected

3. Ask in plain language — Claude discovers the tools and picks one (the tool it calls is in parentheses):

  • "Is the hello server up? What version is it?" → (server_info)

  • "Greet me in French." → (greetBonjour!)

  • "Say hello in Japanese to Alice." → (greetこんにちは (Konnichiwa), Alice!)

  • "What languages can you greet in?" → (server_info, reads languages)

That round trip — the client listing tools, then calling one with arguments and getting structured JSON back — is MCP.

4. Remove it when you're done:

claude mcp remove hello-ts

Prefer HTTP? Run it as a long-lived server instead:

docker run --rm -p 8000:8000 ghcr.io/mitchallen/mcp-hello-typescript-server:latest
claude mcp add --transport http hello-ts http://localhost:8000/mcp

Related MCP server: HelloWorld MCP Server

Tools

Tool

Purpose

server_info()

Health/status: app name, version, uptime, supported languages

greet(language?, name?)

Greeting in language (default English); optional name

greet

greet takes two optional arguments:

  • language — a language name, an alternate spelling, or an ISO code (case-insensitive). Omit it to default to English. Supported: english, spanish, french, german, italian, portuguese, japanese, hawaiian (e.g. french, Français, or fr all work).

  • name — optional; personalizes the message (Bonjour, Alice!).

It returns { language, greeting, message }:

// greet(language="french")
{ "language": "french", "greeting": "Bonjour", "message": "Bonjour!" }

// greet(language="spanish", name="Alice")
{ "language": "spanish", "greeting": "Hola", "message": "Hola, Alice!" }

// greet()  -> { "language": "english", "greeting": "Hello", "message": "Hello!" }

An unknown language returns a tool error listing the supported set.

Add a language

Add a row to GREETINGS in src/greetings.ts (and, optionally, an alias / ISO code to ALIASES). server_info reports the supported set automatically.


Quick start (from source)

Requires Node.js 20+.

make install     # npm ci
make build       # tsc -> ./build
make test        # run the test suite
make run         # run the server over stdio

make help lists every target.


Running the server

stdio (default — for MCP clients that launch the server)

npm run dev      # runs src/index.ts via tsx
# or, after `make build`:
node build/index.js
# or
make run

Streamable HTTP (for networked clients / containers)

make run-http            # PORT defaults to 8000
PORT=9000 make run-http

The MCP endpoint is served at /mcp.


Configuration

All configuration is via environment variables:

Variable

Default

Purpose

APP_NAME

mcp-hello-typescript-server

Name reported by server_info

MCP_TRANSPORT

stdio

stdio or http

HOST

127.0.0.1

Bind address for http

PORT

8000

Bind port for http


Using with an MCP client — local development (from source)

Point a stdio-based client (e.g. Claude Desktop, Claude Code) at the built entry point. With Claude Code, from the project directory:

make build
claude mcp add hello-ts -- node "$PWD/build/index.js"

Confirm it's connected with claude mcp list (or /mcp inside a session).

Example prompts (Claude Code)

Once the server is added, just ask in plain language — Claude picks the right tool. The tool it invokes is shown in parentheses.

  • "Is the hello server up? What version is it?" → (server_info)

  • "Greet me." → (greet, defaults to English → "Hello!")

  • "Greet in French." → (greet with language="french" → "Bonjour!")

  • "Say hello in Japanese to Alice." → (greet with language="japanese", name="Alice")

  • "What languages can you greet in?" → (server_info, then read languages)


Using a published image

The image is published to two registries:

  • GitHub Container Registry: ghcr.io/mitchallen/mcp-hello-typescript-server

  • Docker Hub: mitchallen/mcp-hello-typescript-server

Option A — Docker image, client launches it (stdio)

This is the simplest setup: there's nothing to build or install — just the published image. Pull it up front once so the first session doesn't block on the download (which can race an MCP client's connect/startup timeout):

docker pull ghcr.io/mitchallen/mcp-hello-typescript-server:latest

The client starts a fresh container per session and talks to it over stdio. Use -i (keep stdin open) and force the stdio transport, since the image defaults to HTTP:

{
  "mcpServers": {
    "hello-ts": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "MCP_TRANSPORT=stdio",
        "ghcr.io/mitchallen/mcp-hello-typescript-server:latest",
      ],
    },
  },
}

Claude Code equivalent:

claude mcp add hello-ts -- docker run -i --rm -e MCP_TRANSPORT=stdio ghcr.io/mitchallen/mcp-hello-typescript-server:latest

(Pin a version like :0.1.0 in place of :latest for a reproducible setup.)

Option B — Long-running container over HTTP

The image serves HTTP by default. Start it once, then point an HTTP-capable client at it:

docker run -d --rm -p 8000:8000 --name mcp-hello-ts ghcr.io/mitchallen/mcp-hello-typescript-server:latest
claude mcp add --transport http hello-ts http://localhost:8000/mcp

For clients that only speak stdio, bridge to the HTTP endpoint with mcp-remote:

{
  "mcpServers": {
    "hello-ts": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "http://localhost:8000/mcp"],
    },
  },
}

Notes for remote use:

  • Prefer HTTPS so traffic is encrypted in transit.

  • This server ships no authentication. If you expose it beyond localhost, put it behind a reverse proxy, gateway, or network policy.

  • The endpoint path is /mcp.

Option C — npm package via npx (not implemented here)

Because the server already exposes a bin entry point over stdio, it could also be distributed as an npm package and launched with npx — the usual pattern for MCP servers in Claude Code:

claude mcp add hello-ts -- npx -y <package-name>

Publishing to either the public npm registry (npmjs.com — zero-config npx) or GitHub Packages (scoped @owner/…, but consumers need a token in .npmrc) would enable this. It's left out of this demo on purpose to keep the focus on the Docker distribution path.


Docker

Published multi-platform (linux/amd64, linux/arm64) images run the server over streamable HTTP by default (MCP_TRANSPORT=http, HOST=0.0.0.0, PORT=8000) so they're reachable on a published port.

A multi-stage build compiles the TypeScript on cgr.dev/chainguard/node:latest-dev, prunes to production dependencies, and copies build/ + node_modules onto a distroless Chainguard/Wolfi node base — no shell, no package manager, runs as the non-root node user. Unlike the Go/Rust siblings (which ship a single static binary at ~10–17 MB), this image carries the Node runtime and node_modules, so it's larger (~275 MB) — that's inherent to shipping a runtime rather than a compiled binary. Every build is gated by a Trivy scan (fails on fixable CRITICAL/HIGH); the dependency tree is separately scanned with npm audit, and the published :latest is re-scanned daily — see Security scanning.

Pull and run

docker pull ghcr.io/mitchallen/mcp-hello-typescript-server:latest
docker run --rm -p 8000:8000 --name mcp-hello-ts ghcr.io/mitchallen/mcp-hello-typescript-server:latest

Then connect an HTTP MCP client to http://localhost:8000/mcp.

Test a published release with make

make docker-test               # up + smoke + down in one shot (exits non-zero on failure)

make docker-up                 # pull + run ghcr.io/mitchallen latest, detached
make docker-smoke              # MCP `initialize` handshake — passes if the server responds
make docker-down               # stop it

make docker-up TAG=0.1.0                         # pin a version
make docker-up REGISTRY=docker.io/mitchallen     # pull from Docker Hub instead
make docker-up HTTP_PORT=9000                    # publish on a different host port

Build locally

make docker-build        # docker build -t mcp-hello-typescript-server .
make docker-run          # serves http on localhost:8000
make scan                # Trivy scan of the local image (fixable CRITICAL/HIGH fail)

Security scanning

Two complementary gates catch vulnerabilities, both reproducible locally:

  • image-scan (make scan) — Trivy scans the built container image and fails the build on fixable CRITICAL/HIGH vulnerabilities. It covers the OS layer of the runtime image and reads the JavaScript packages in node_modules.

  • npm-audit (npm audit --omit=dev --audit-level=high) — scans the production dependency tree against the npm advisory database. Dev-only tooling advisories don't wedge the build.

  • scan-scheduled re-scans the published :latest image daily and uploads results to the GitHub Security tab, catching CVEs disclosed after build time.

  • Dependabot opens weekly PRs for npm packages, the Docker base image, and GitHub Actions; low-risk updates auto-merge once CI passes.


CI / Publish

Workflows live in .github/workflows/:

  • ci — on every push/PR to main: prettier format check, tsc type-check, and node --test.

  • npm-audit / image-scan / scan-scheduled — vulnerability scanning (see above).

  • publish / publish-dockerhub — triggered by pushing a v* tag. Build a multi-platform image, Trivy-scan it, push it to GHCR and Docker Hub, then run make docker-test against the just-published image. The Docker Hub job needs DOCKERHUB_USERNAME / DOCKERHUB_TOKEN repository secrets.

To cut a release, use the release target — it bumps the version in package.json, commits, tags, pushes, and creates the GitHub Release from the CHANGELOG.md section, which triggers both publish workflows:

make release              # patch bump (default)
make release BUMP=minor   # or minor / major

The target refuses to run unless the working tree is clean, you're on main, and CHANGELOG.md already has a ## [X.Y.Z] section for the new version.

Docker Hub secrets (one-time setup)

Pushing to GHCR needs no setup — it uses the built-in GITHUB_TOKEN. The publish-dockerhub job additionally needs two repository secrets and a pre-created Docker Hub repo:

  1. Create a Docker Hub access token (not your password) with Read & Write permissions, at hub.docker.com → Account Settings → Personal access tokens.

  2. Create the Docker Hub repository mitchallen/mcp-hello-typescript-server (Public).

  3. Add the two GitHub secretsDOCKERHUB_USERNAME and DOCKERHUB_TOKEN:

    gh secret set DOCKERHUB_USERNAME --body "mitchallen"
    gh secret set DOCKERHUB_TOKEN          # prompts for the value — paste the token

Without these, the GHCR publish job still succeeds; only publish-dockerhub fails at the login step.


Development

  • Source: src/

    • greetings.ts — greeting data + language resolution (greet), unit-tested

    • server.tscreateServer() + tools registered with server.registerTool

    • version.ts — reads the version from package.json at runtime

    • index.ts — the entry point; transport wiring (stdio / HTTP)

  • Tests: tests/server.test.ts drives the tools through an in-memory client (InMemoryTransport.createLinkedPair, no network/subprocess); tests/greetings.test.ts unit-tests the resolver/builder. Run everything with make test, or the full CI gate with make check (prettier + type-check + test).

  • Dependencies: package.json / package-lock.json are committed. Run npm install after changing dependencies to refresh the lockfile.


License

MIT © Mitch Allen

Available Tools

2 tools
greetA

Return a friendly greeting in the requested language (default English). language accepts a language name, alternate spelling, or ISO code (english, spanish, french, german, italian, portuguese, japanese, hawaiian). Optional name personalizes the message. Returns {language, greeting, message}.

ParametersJSON Schema
NameRequiredDescriptionDefault
nameNoOptional name to personalize the message (e.g. Bonjour, Alice!).
languageNoA language name, alternate spelling, or ISO code (case-insensitive); omit to default to English. Supported: english, spanish, french, german, italian, portuguese, japanese, hawaiian.

Output Schema

ParametersJSON Schema
NameRequiredDescription
messageYes
greetingYes
languageYes

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It transparently describes the return format {language, greeting, message} and the flexibility of the language parameter. For a simple non-destructive tool, this is sufficient.

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?

The description is two sentences, efficiently front-loading the purpose and then detailing parameters. No unnecessary words.

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

Completeness5/5

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

The tool has an output schema (described inline) and two simple optional parameters. The description covers the return structure, language flexibility, and optional personalization, making it fully informative.

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

Parameters4/5

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

Schema coverage is 100%, baseline 3. The description adds value by explaining that language accepts names, alternate spellings, or ISO codes, and lists supported languages. It also clarifies the 'name' parameter personalizes the message.

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

Purpose5/5

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

The description clearly states the tool returns a friendly greeting in a requested language, defaulting to English. It distinguishes from the only sibling tool 'server_info' which is about server information.

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

Usage Guidelines4/5

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

The description explains when to use the tool (for generating greetings) and provides details on language options. It does not explicitly state when not to use it, but with only one sibling the usage context is clear.

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

server_infoA

Health/status of the server: app name, version, uptime, and supported greeting languages.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription
appYes
authorYes
sourceYes
statusYes
uptimeYes
versionYes
languagesYes
default_languageYes

TDQS

A4.5/5.0
Behavior4/5

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

No annotations provided, but description clearly lists return fields and implies read-only operation. Could be more explicit about side effects.

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?

Single sentence, 14 words, front-loaded with key information. No redundancy.

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

Completeness5/5

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

For a zero-parameter status tool with output schema, description lists all relevant fields. Adequate for selection and invocation.

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

Parameters4/5

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

No parameters in schema, so description doesn't need to add parameter info. Baseline 4.

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

Purpose5/5

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

Description clearly states it retrieves health/status with specific fields: app name, version, uptime, supported greeting languages. Distinct from sibling 'greet'.

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

Usage Guidelines4/5

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

Implicitly when server info is needed versus greeting with sibling. No explicit exclusions or alternatives mentioned.

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

TDQS

A4.4/5.0
Disambiguation5/5

The two tools serve entirely different purposes: one for generating greetings and one for server health. There is no overlap or ambiguity.

Naming Consistency4/5

Both names use snake_case, but 'greet' is a verb while 'server_info' is a noun, breaking a strict verb_noun pattern. Still, the style is consistent and readable.

Tool Count3/5

With only 2 tools, the server feels minimal. For a greeting-focused server, this might suffice, but it borders on too few for a typical MCP server scope.

Completeness4/5

The tools cover the core functionality (greeting and server info) with no obvious gaps. However, a dedicated tool to list supported languages could be considered a minor missing piece.

Maintenance

ActivityActive
ResponsivenessSyncing

Resources

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