# MCP-CampusX

> MCP-CampusX — muhammadali382-mcp-campusx. Use this tool when you need to build and demonstrate MCP servers with a range of functionalities, from basic tools like dice rolling and addition to complex applications like expense tracking with data persistence and summarization. It solves problems related to server development, data management, and application integration, providing a comprehensive demo server with SQLite persistence and CRUD operations. Ideal for use cases requiring scalable and interactive server development with robust data handling capabilities.

Canonical page: https://skillsregistry.net/skills/muhammadali382-mcp-campusx  
JSON: https://api.skillsregistry.net/v1/skills/muhammadali382-mcp-campusx

## Description

A learning project that demonstrates building MCP servers with FastMCP, featuring a demo server with basic tools (dice rolling, addition) and a full-featured expense tracker with SQLite persistence, hierarchical categories, CRUD operations, and expense summarization.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vusbg0jnxo)
- **Repository:** <https://github.com/muhammadali382/MCP-CampusX>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "muhammadali382-mcp-campusx"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/muhammadali382-mcp-campusx` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/muhammadali382-mcp-campusx/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt