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()`.
@utkarshagawade17
Basic information
Modular CLI-based MCP server to manage campus lost & found items using Claude Desktop.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Campus Lost & Found": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/CampusLostFoundMCP",
"run",
"main.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
It provides eight tool functions: `report_lost()`, `report_found()`, `show_lost()`, `show_found()`, `latest_lost()`, `latest_found()`, and `summary_prompt()`.
Data is stored in two local text files (`lost.txt` and `found.txt`) that are auto‑created on first use.
Python 3.11+ and the `mcp[cli]` package installed via `uv`. No database or cloud service is required.
Add a server entry in `claude_desktop_config.json` with the command `uv --directory /absolute/path/to/CampusLostFoundMCP run main.py`.
Not yet; these are planned as future enhancements. Currently all items are stored and listed without filtering.
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