# mcp-local-school-orchestrator

> mcp-local-school-orchestrator — nxtgencodebase-mcp-local-school-orchestrator. Use this tool when you need to manage a local school's operations, streamline data management, and generate insightful reports. It solves problems related to student and staff data organization, scheduling, and performance tracking, providing a user-friendly AI-driven interface and PDF reporting capabilities. Ideal for small to medium-sized educational institutions, it accepts SQLite data inputs and outputs customizable reports and analytics through its Streamlit interface.

Canonical page: https://skillsregistry.net/skills/nxtgencodebase-mcp-local-school-orchestrator  
JSON: https://api.skillsregistry.net/v1/skills/nxtgencodebase-mcp-local-school-orchestrator

## Description

A Local Agentic School Management System using Model Context Protocol (MCP), LangGraph, and Ollama. Feature-rich PoC with SQLite data, PDF reporting, and an AI-driven Streamlit interface.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MPL-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/NxtGenCodeBase/mcp-local-school-orchestrator)

## 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": "nxtgencodebase-mcp-local-school-orchestrator"
    }
  }
}
```

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