
Example MCP Server
- 2 repo stars
- Updated July 22, 2026
- mctx-ai/example-mcp-server
Example MCP Server is an MCP server that demonstrates a complete mctx-ai framework server implementation you can study or fork over remote SSE.
About
Example MCP Server is mctx-ai’s compact reference MCP deployment: same study-or-fork intent as Example App, but focused on the server boundary—schema, remotes, tools, and hosted SSE—without carrying a full application UI. developers in Claude Code or Cursor use it when the next task is register a remote, verify tool lists, and promote a custom server to production-like hosting. The published server.json and versioned URL reduce guesswork for indies who have read the MCP spec but lack a golden sample repo. Fork it, rename tools, and grow into Example App when your product needs pages, auth, and business logic. It is developer scaffolding, not a domain-specific integration; skip it if you only consume third-party MCPs and never author your own.
- Example MCP Server v1.3.2 hosted at example-mcp-server.mctx.ai via SSE
- Framework-aligned reference covering @mcp patterns from mctx-ai docs
- GitHub repo example-mcp-server for fork-and-rename workflows
- Lighter counterpart to Example App when you only need server wiring
Example MCP Server by the numbers
- Data as of Jul 23, 2026 (Skillselion catalog sync)
claude mcp add --transport sse example-mcp-server https://example-mcp-server.mctx.ai/v1.3.2Add your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| repo stars | ★ 2 |
|---|---|
| Transport | SSE |
| Auth | None |
| Last updated | July 22, 2026 |
| Repository | mctx-ai/example-mcp-server ↗ |
What it does
Use the minimal mctx-ai example MCP server as a copy-paste baseline for protocol schema, remote SSE hosting, and tool registration.
Who is it for?
Best when you're authoring your first hosted MCP and want the smallest working reference before scaling to a full app repo.
Skip if: Skip if you already maintain internal MCP templates or only need consumer-side MCP client configuration.
What you get
You connect the hosted example or clone the repo, then reuse its structure to ship your own named MCP server with less protocol trial-and-error.
- Working example server.json and remote SSE deployment pattern
- Forkable repo for custom MCP tool handlers
- Validated tool listing against your client
By the numbers
- Server version 1.3.2
- Repository: github.com/mctx-ai/example-mcp-server
- Schema: modelcontextprotocol.io server.schema.json (2025-12-11 family)
README.md

Example MCP Server
mctx — The best way to Build an MCP Server
The comprehensive reference implementation for @mctx-ai/mcp. Every framework capability in one well-commented file — clone it, study it, fork it as a template for your own MCP server.
What This Example Demonstrates
src/index.ts covers every pattern the framework supports:
Tool Patterns
- Sync string return —
greet: receives args, returns a formatted string; demonstrates environment variable configuration viaGREETING - Object return —
calculate: returns a structured result object (auto-serialized to JSON); demonstrates input validation and error throwing - Progress notifications —
analyze: emits progress viares.progress(current, total); demonstrates streaming updates during long-running operations - LLM sampling —
smart-answer: delegates to the client's LLM viares.ask; demonstrates graceful fallback when sampling is unavailable - User identity via context —
whoami: readsmctx.userId, the stable mctx user ID injected server-side by the platform; demonstrates graceful degradation outside mctx
Resource Patterns
- Static URI —
docs://readme: exact URI, no parameters, returns plain text - Dynamic URI template —
user://{userId}: extractsuserIdfrom the URI path, returns a JSON profile
Prompt Patterns
- Single-message —
code-review: returns a plain string that becomes one user message - Multi-message conversation —
debug: usesconversation()to build structured user/assistant dialogue
Infrastructure
- Tool annotation hints — every tool sets
readOnlyHint,destructiveHint,openWorldHint, andidempotentHintwith inline rationale explaining each choice - Structured logging —
log.info,log.debug,log.warning,log.error, andlog.noticethroughout - Environment variable configuration — reads
process.env.GREETINGlazily inside the handler (not at module scope) - Comprehensive test coverage —
src/index.test.tstests every tool, resource, and prompt via JSON-RPC 2.0 requests
Usage in Conversation
Once connected to an MCP client, try phrases like these:
Greetings and identity
- "Greet Alice" — calls
greetwithname: "Alice" - "Who am I?" — calls
whoamito return your stable mctx user ID - "Greet the whole team" — calls
greetin a loop for each name
Math and analysis
- "What is 6 times 7?" — calls
calculatewithoperation: "multiply" - "Divide 10 by 0" — triggers the division-by-zero error path
- "Analyze quantum computing" — calls
analyzeand streams three progress phases
Q&A and LLM sampling
- "What is the capital of France?" — calls
smart-answer, which delegates to the client's LLM viaask - "Ask anything" — routes arbitrary questions through
smart-answer
Resources
- "Read the server docs" — reads
docs://readme - "Look up user 42" — reads
user://42
Prompts
- "Review my code" — invokes the
code-reviewprompt with a code snippet - "Help me debug this stack trace" — invokes the
debugprompt with an error and optional context
Example Responses
greet(name: "Alice")
→ "Hello, Alice!"
whoami()
→ "Your mctx user ID is: user_abc123. This ID is stable across all your devices and sessions."
calculate(operation: "multiply", a: 6, b: 7)
→ { "operation": "multiply", "a": 6, "b": 7, "result": 42 }
analyze(topic: "quantum computing")
→ [progress: 1/3] → [progress: 2/3] → [progress: 3/3]
→ "Analysis of "quantum computing" complete. Found 42 insights across 7 categories."
smart-answer(question: "What is the capital of France?")
→ "Question: What is the capital of France?\n\nAnswer: Paris."
Read URI: docs://readme
→ "Welcome to the example MCP server built with @mctx-ai/mcp..."
Read URI: user://42
→ { "id": "42", "name": "User 42", "joined": "2024-01-01", "role": "developer" }
code-review(code: "const x = eval(input)", language: "javascript")
→ "Please review this javascript for bugs, security issues, and improvements:..."
debug(error: "TypeError: Cannot read properties of undefined")
→ [user] "I'm seeing this error: TypeError: Cannot read..."
→ [assistant] "I will analyze the error and provide step-by-step debugging guidance."
Getting Started
Using as a Template
This repo is a GitHub template. Click Use this template on GitHub, then:
1. Clone your new repo
git clone https://github.com/your-username/your-repo.git
cd your-repo
2. Run the setup script
./setup.sh
setup.sh prompts for a project name and description, asks whether to keep the example code or start from a minimal skeleton, updates package.json, rewrites README.md with a clean starting point, installs dependencies, creates an initial git commit, and deletes itself.
3. Start developing
npm run dev
If you kept the examples, src/index.ts is unchanged — study the patterns and modify from there. If you started empty, you get a minimal skeleton with a single hello tool to build from.
Development Commands
Build
npm run build
Bundles src/index.ts to dist/index.js using esbuild (minified ESM output).
Dev server
npm run dev
# Test environment variables during dev:
GREETING="Howdy" npm run dev
Runs parallel watch mode: esbuild rebuilds on source changes, mctx-dev hot-reloads the server on rebuild.
Testing
npm test # Run all tests
npm test -- --watch # Watch mode
npm test src/index.test.ts # Specific file
npm test -- -t "greet" # Pattern match
Linting and formatting
npm run lint
npm run format
npm run format:check
Environment Variables
GREETING — Customizes the greeting in the greet tool (default: "Hello"). Set GREETING="Howdy" to get "Howdy, Alice!".
Project Structure
src/index.ts → Server implementation — all capabilities in one file
├─ Tools → greet, whoami, calculate, analyze, smart-answer
├─ Resources → docs://readme (static), user://{userId} (dynamic)
├─ Prompts → code-review (single-message), debug (multi-message)
└─ Export → fetch handler for JSON-RPC 2.0 over HTTP
src/index.test.ts → Tests for every tool, resource, and prompt
dist/index.js → Bundled output (generated by esbuild, not committed on main)
Deployment Model
mctx does not run build commands. It serves dist/index.js from the release branch — no npm run build at deploy time.
dist/ is gitignored on main. The release pipeline (.github/workflows/release.yml) builds dist/index.js from source and commits it to release automatically. Source-only on main; built output on release.
Deployment trigger: mctx watches for version changes in package.json on the release branch. A version bump triggers a new deployment. A push with no version bump does not trigger deployment.
Conventional commits determine the version bump:
| Commit prefix | Bump |
|---|---|
feat!: or fix!: |
Major |
feat: |
Minor |
| Everything else | Patch |
This repo uses squash merging — PR title becomes the commit subject, so PR titles must follow conventional commit format.
Do not edit the release branch directly. Do not commit dist/index.js on main.
Making Your MCP Server Discoverable
Three package.json fields and README.md determine how developers find your MCP server.
description— Appears in the MCP Community Registry (truncates at ~100–150 chars) and on your mctx.ai page. Front-load the most important information.homepage— Clickable link on your public mctx.ai page. Point it at your GitHub repo or docs site.README.md— Becomes the documentation on your mctx.ai page and is indexed by Context7 for AI assistant discovery. Lead with what the MCP server does; the first ~4,000 characters are what AI assistants use to understand and recommend it.
Learn More
@mctx-ai/mcp— Framework documentation and API reference- docs.mctx.ai — Platform guides for deploying and managing your MCP servers
- mctx.ai — Host your MCP server for free
- MCP Specification — The protocol spec this MCP server implements
Recommended MCP Servers
How it compares
Minimal server reference MCP, not the full Example App product shell or a vertical data connector.
FAQ
Who is io.github.mctx-ai/example-mcp-server for?
Developers and agent-tool authors who need a small, framework-correct MCP server to learn from or fork before adding product code.
When should I use io.github.mctx-ai/example-mcp-server?
Use it at the start of Build when you are creating custom MCP tools, publishing a remote SSE endpoint, or validating your client against a known-good server.
How do I add io.github.mctx-ai/example-mcp-server to my agent?
Register the remote URL example-mcp-server.mctx.ai for v1.3.2 in your MCP config, or clone github.com/mctx-ai/example-mcp-server and point your client at your local or deployed instance.