MCP-Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP-Serverread the file config.json"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Server with Management UI
A production-ready Model Context Protocol server built with TypeScript, featuring:
6 built-in tools – file read/write/list, HTTP fetch, system info, and env variable reader
Dual transport – stdio (Claude Desktop) and SSE/HTTP (Claude.ai)
Management Dashboard – live tool list, interactive tool tester, and request log
Extensible – add new tools in minutes
Prerequisites
Node.js v18 or higher (
node --versionto check)Claude Desktop (for local MCP integration)
Related MCP server: vulcan-file-ops
Quick Start
1 · Install dependencies
npm run install:allInstalls both server and UI packages.
2 · Configure environment
# Windows
copy .env.example .env
# macOS / Linux
cp .env.example .envEdit .env to set PORT, SERVER_NAME, or any API keys you need.
3 · Development mode (hot-reload)
Open two terminals:
# Terminal 1 – backend server with hot-reload
npm run dev
# Terminal 2 – UI dev server (proxies API calls to the backend)
cd ui && npm run devBackend API + SSE:
http://localhost:3000Management UI (dev):
http://localhost:5173/ui
4 · Production build
npm run build # compiles TypeScript + builds React UI
npm start # starts everything on :3000Open http://localhost:3000/ui in your browser.
Connecting to Claude Desktop (stdio)
Claude Desktop launches the server as a child process automatically — no running server needed.
Step 1 — Build the server
npm run buildStep 2 — Find the correct config file location
The location depends on how Claude Desktop was installed:
Installation type | Config path |
Windows Store / MSIX |
|
Windows direct installer |
|
macOS |
|
Tip (Windows): Run this in PowerShell to find the right file automatically:
Get-ChildItem "$env:LOCALAPPDATA" -Recurse -Filter "claude_desktop_config.json" -ErrorAction SilentlyContinue Get-ChildItem "$env:APPDATA" -Recurse -Filter "claude_desktop_config.json" -ErrorAction SilentlyContinue
Step 3 — Write the config
Replace YOU and C:/path/to with your actual username and project path.
{
"mcpServers": {
"mcp-server": {
"command": "node",
"args": ["C:/Users/YOU/Projects/mcp-server/dist/index.js", "--stdio"]
}
}
}Windows tip: If
nodeisn't found by Claude Desktop, use the full path instead:(Get-Command node).Source # prints e.g. C:\Program Files\nodejs\node.exeThen set
"command": "C:/Program Files/nodejs/node.exe".
Step 4 — Restart Claude Desktop
Fully quit Claude Desktop (right-click tray icon → Quit, don't just close the window)
Reopen it from the Start Menu / Applications
Open a new chat and ask: "What tools do you have available?"
Claude will list all 6 tools automatically — no connect button required.
Connecting to Claude.ai (SSE)
Claude.ai's custom connector requires a publicly accessible HTTPS URL.
Step 1 — Start the server
npm startStep 2 — Expose it with a tunnel
# Using ngrok (https://ngrok.com)
ngrok http 3000
# Copy the https://xxxx.ngrok-free.app URLAlternatives: Cloudflare Tunnel, localtunnel
Step 3 — Add the connector in Claude.ai
In Claude Desktop or Claude.ai:
Click + → Connectors → Add custom connector
Name:
mcp-serverURL:
https://xxxx.ngrok-free.app/sse
Available Tools
Tool | Description |
| Read a file's contents (utf-8 or base64) |
| Write / append text to a file |
| List files in a directory (optionally recursive) |
| Make HTTP requests (GET, POST, PUT, DELETE, PATCH) |
| OS, CPU, memory, network, and process details |
| Read environment variables from the server process |
Adding New Tools
All tools live in src/tools/. Create a new file, export a register*Tools function, and call it from src/server.ts.
Example – add a calculator tool:
// src/tools/calculator.ts
import { z } from 'zod';
import type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { registerTool } from './registry.js';
export function registerCalculatorTools(server: McpServer): void {
registerTool(
server,
'calculate',
'Evaluate a simple arithmetic expression and return the result.',
{
expression: z.string().describe('Arithmetic expression, e.g. "2 + 2 * 10"'),
},
async ({ expression }) => {
const result = Function(`"use strict"; return (${expression})`)();
return { content: [{ type: 'text' as const, text: String(result) }] };
},
);
}Then in src/server.ts:
import { registerCalculatorTools } from './tools/calculator.js';
// inside createMcpServer():
registerCalculatorTools(server);The new tool appears in the Management UI and is immediately available to Claude.
Project Structure
mcp-server/
├── src/
│ ├── index.ts # Entry point – detects --stdio vs HTTP mode
│ ├── server.ts # McpServer factory, registers all tools
│ ├── web.ts # Express server (SSE transport + REST API for UI)
│ ├── logger.ts # Circular in-memory request log (200 entries)
│ ├── types.ts # Shared TypeScript types
│ └── tools/
│ ├── registry.ts # registerTool() wrapper + direct invocation map
│ ├── file.ts # read_file, write_file, list_directory
│ ├── fetch.ts # fetch_url
│ └── system.ts # get_system_info, get_environment_variable
├── ui/
│ ├── src/
│ │ ├── App.tsx # Tabbed layout (Tools / Tester / Logs)
│ │ ├── api.ts # REST client for the management API
│ │ └── components/
│ │ ├── ServerStatus.tsx # Live uptime, port, request count
│ │ ├── ToolList.tsx # Expandable list with JSON schemas
│ │ ├── ToolTester.tsx # Select tool → edit JSON → invoke
│ │ └── RequestLog.tsx # Auto-refreshing log with expand
│ └── vite.config.ts
├── dist/ # Compiled server output (after npm run build)
├── .env # Local config – not committed
├── .env.example # Template for .env
├── claude_desktop_config.json # Example config snippet
├── package.json
└── tsconfig.jsonScripts
Command | Description |
| Run server with hot-reload (tsx watch) |
| Run in stdio mode for Claude Desktop testing |
| Compile TypeScript + build React UI |
| Run compiled server (HTTP/SSE + UI mode) |
| Run compiled server in stdio mode |
| Install all dependencies (server + UI) |
| Full first-time setup: install + build |
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/prajna-gajendra-acharya/MCP-Server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server