Enterprise Operations Hub
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., "@Enterprise Operations HubFind all developers in the Engineering team"
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.
Enterprise Operations Hub (MCP Server)
An MCP-native enterprise operations platform that unifies team management, product catalog, order processing, knowledge base, location intelligence, analytics, and DevOps monitoring into a single server β all accessible from any MCP-compatible AI agent or client.
With 15 tools, 4 resources, 3 prompts, and 3 rich visual widgets, agents can search users, browse product catalogs, manage orders, generate reports, explore points of interest on interactive maps, and monitor system health β without switching contexts or integrating multiple APIs.
Use Cases
π€ AI-Powered Enterprise Assistant
Equip your AI agent with direct access to company data. Ask natural language questions like:
"Find all developers in the Engineering team" β
search-userstool with role filter and visual user cards"Show me shipped orders from this week" β
list-orderstool with paginated table and status badges"What's our top-selling product?" β
get-product-detailsacross the catalog with ratings and inventory data"Generate a sales report for Q4" β
generate-reportwith revenue, conversion, and customer metrics
πΊοΈ Location-Based Decision Making
The get-location-info tool + location-map widget delivers an interactive point-of-interest explorer:
"Find restaurants near the conference venue" β visual map with colored pins by POI type
"Are there any parks close to the hotel?" β filtered by park type, with ratings and addresses
Filter by restaurant, park, museum, cafΓ©, hotel, shopping, or landmark β adjust radius from 0.01 to 50 km
π Workflow Automation with Approvals
The server supports human-in-the-loop elicitation workflows:
Approval gates β
request-approvaltool presents confirmation dialogs for sensitive actions (deploy, delete, grant access)Feedback collection β
collect-feedbacktool gathers structured ratings and comments from usersText summarization β
summarize-textdelegates to the client's LLM for on-demand summarization via the sampling protocol
π Real-Time Operations Dashboard
Monitor system health through the agent:
get-server-statusβ uptime, request volume, active connections, CPU/memory usagelist-client-capabilitiesβ introspect what the connected client supports (roots, sampling, elicitation, apps)get-user-contextβ retrieve the current user's locale, timezone, and location for personalized responses
π Knowledge Management
search-knowledgeβ full-text search across the knowledge base (account, API, and general categories)create-documentβ create reports, memos, guides, or specs with tag-based categorizationResources provide structured reference data: POI type catalog, server configuration, API docs, and dataset statistics
Related MCP server: MCP Business AI Transformation
Capabilities at a Glance
Tools (15)
Category | Tool | Widget | Description |
People |
| β User Cards | Search team members by name, role, or department |
Catalog |
| β | Look up product info, stock, and ratings by ID |
Orders |
| β Data Table | Paginated orders with status filtering and expandable items |
Content |
| β | Create reports, memos, guides, and specs |
Content |
| β | Full-text search across help articles and documentation |
Location |
| β Interactive Map | Explore nearby POIs with colored pins and details |
Analytics |
| β | Sales, usage, performance, or security reports with metrics |
DevOps |
| β | Uptime, connections, CPU, memory, and request metrics |
Workflow |
| β | Human-in-the-loop approval for sensitive actions |
Workflow |
| β | Structured rating and comment collection |
AI |
| β | Delegate summarization to the client's LLM |
Debug |
| β | Introspect connected client features |
Debug |
| β | Current user identity, locale, and timezone |
Debug |
| β | Filesystem roots shared by the client |
Debug |
| β | Multi-step operation with progress notifications |
Resources (4)
URI | Content |
| POI type catalog with icons, labels, and colors |
| Server version, capabilities, and configuration limits |
| Markdown API reference for all tools and parameters |
| Live dataset counts and distribution breakdowns |
Prompts (3)
Prompt | Purpose |
| Guided template for POI discovery workflows |
| Template for order data analysis (status, revenue, customers, trends) |
| Template for creating structured data records |
Visual Widgets (3)
Widget | Triggered By | Experience |
User Search Results |
| Role-badged user cards with avatars, departments, and join dates |
Order List |
| Paginated table with color-coded status badges, expandable line items |
Location Map |
| CSS grid map with colored POI pins, clickable details with ratings and addresses |
Quick Start
npm install
npm run dev # HTTP mode with hot reload + inspector + widgetsOpen http://localhost:8760/inspector to explore all tools, resources, and widgets interactively.
Client Configuration
HTTP mode
{
"servers": {
"enterprise-ops-hub": {
"url": "http://localhost:8760/mcp",
"type": "http"
}
}
}stdio mode
Widgets are HTTP-only (require a browser to render). All other capabilities β tools, resources, prompts, elicitation, sampling, roots, progress, logging β are fully available over stdio.
{
"servers": {
"enterprise-ops-hub": {
"command": "npx",
"args": ["tsx", "src/stdio.ts"],
"cwd": "/path/to/mock_mcp"
}
}
}Or with the built output:
{
"command": "node",
"args": ["dist/src/stdio.js"],
"cwd": "/path/to/mock_mcp"
}Scripts
Command | Description |
| Development server with hot reload, inspector, and widgets |
| Production build (TypeScript compilation + widget bundling) |
| Production HTTP server |
| stdio mode for local agent integration |
This server cannot be installed
Maintenance
Resources
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