広告掲載
MCP.so
ログイン

Campus Lost & Found MCP Server

@utkarshagawade17

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

utkarshagawade17

Campus Lost & Found MCP Server について

Modular CLI-based MCP server to manage campus lost & found items using Claude Desktop.

#campus#lost-and-found#mcp-server

Campus Lost & Found MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "Campus Lost & Found": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/CampusLostFoundMCP",
        "run",
        "main.py"
      ]
    }
  }
}

Campus Lost & Found MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is 🎒 Campus Lost & Found MCP Server?

A Claude Desktop-compatible MCP server that lets users report, track, and summarize lost and found items on campus via a simple CLI or LLM interface. It stores data persistently using local text files and is designed for anyone managing campus lost‑and‑found records.

How to use 🎒 Campus Lost & Found MCP Server?

Clone the repository, ensure Python 3.11+ is installed, run uv init . and uv add "mcp[cli]", then start the server with uv run main.py. For Claude Desktop integration, add the server definition to claude_desktop_config.json with the command uv --directory /path/to/CampusLostFoundMCP run main.py. Once connected, call the provided tool functions (e.g., report_lost("wallet near cafeteria"), show_lost(), summary_prompt()) directly inside Claude Desktop.

Key features of 🎒 Campus Lost & Found MCP Server

  • Report lost or found items via text description
  • View complete lists of reported items
  • Retrieve the latest lost or found item
  • Generate a summary prompt for Claude to reason about
  • Persistent storage using local text files
  • Works seamlessly with Claude Desktop (Anthropic)

Use cases of 🎒 Campus Lost & Found MCP Server

  • A student reports a lost wallet near the cafeteria via chat
  • A campus admin views all found items to match them with reports
  • Claude generates a summary of recent lost/found activity for staff
  • Quickly retrieve the most recently reported lost or found item

よくある質問

1

What tools does the server provide?

It provides eight tool functions: `report_lost()`, `report_found()`, `show_lost()`, `show_found()`, `latest_lost()`, `latest_found()`, and `summary_prompt()`.

2

How does it store data?

Data is stored in two local text files (`lost.txt` and `found.txt`) that are auto‑created on first use.

3

What are the runtime requirements?

Python 3.11+ and the `mcp[cli]` package installed via `uv`. No database or cloud service is required.

4

How do I connect it to Claude Desktop?

Add a server entry in `claude_desktop_config.json` with the command `uv --directory /absolute/path/to/CampusLostFoundMCP run main.py`.

5

Does it support category filtering or date search?

Not yet; these are planned as future enhancements. Currently all items are stored and listed without filtering.

コメント

「その他」の他のコンテンツ

Health by Dr Brad

Dr Brad Stanfield

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Figs, Relationship Expert

Figs O'Sullivan, LMFT

Couples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K
広告掲載