# College AI Assistant

> College AI Assistant — abhi122005-mcp. Use this tool when you need to efficiently manage and analyze college student data, such as searching profiles, tracking marks and attendance, and identifying low-attendance students. It provides a user-friendly interface for inputs like natural language queries and outputs like student profiles and attendance reports. Ideal for educational institutions seeking to streamline student data management and support AI-powered assistants.

Canonical page: https://skillsregistry.net/skills/abhi122005-mcp  
JSON: https://api.skillsregistry.net/v1/skills/abhi122005-mcp

## Description

Provides MCP tools for searching student profiles, viewing marks/attendance, and finding low-attendance students. Enables AI assistants like Gemini to interact with college student data through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k3ha093pwt)
- **Repository:** <https://github.com/Abhi122005/mcp>

## 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": "abhi122005-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhi122005-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhi122005-mcp/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