BingMCP
Provides LLMs with live access to Binghamton University campus data, including laundry availability, bus locations, dining status and menus, gym capacity, library room availability, and campus events.
README
BingMCP
BingMCP is a FastMCP server that gives an LLM live access to useful Binghamton University campus data. It supports local stdio clients and Streamable HTTP clients, including Baxter or another MCP-compatible frontend.
The server discovers the existing tools from tools/*/tool.py at startup.
No API credentials are required for the public campus data sources.
Current tools
get_laundry_availability(building: str)— current washer and dryer stateget_bus_locations()— live bus positions and arrival estimatesget_dining_status(hall: str)— current Bearcat Dining resident-hall or retail hours/status; retail support is hours onlyget_dining_menu(hall: str, date?: str)— normalized dining menusget_parking_availability(day?: str, lot?: str)— official weekday parking availability estimates from TAPS; not a live occupancy feedget_gym_capacity()— East Gym occupancy and open/closed statusget_available_library_rooms(library?: str, category?: str)— currently available study roomsget_bengaged_events(limit?: int, offset?: int, search?: str)— upcoming B-Engaged eventstest_tool(message: str)— the existing protocol smoke-test tool
Every tool returns a structured result. When an upstream source is unavailable, the tool returns:
{
"status": "unavailable",
"reason": "..."
}
Bearcat Dining integration
The dining tools use Binghamton’s current Bearcat Dining provider through the official Dine On Campus Binghamton site, not the retired Sodexo integration.
The adapter dynamically resolves the Binghamton site and dining-location IDs, so it is resilient to provider-side ID changes. It reads:
- public site metadata and dining locations;
- weekly schedules for current hall hours and open/closed status;
- meal periods and per-period menu data, including stations, items, portions, calories, dietary filters, nutrients, and allergens.
Supported resident halls and aliases include Hinman, CIW
(College-in-the-Woods), C4 (Chenango Champlain), and Appalachian/ACC.
Dining-hours status also resolves current Bearcat Dining retail locations such
as Starbucks, B3, Chick-n-Bap, Dunkin', Panera Bread, The Quiet Cup, and
Bearcat Express. Retail locations intentionally support hours/status only;
get_dining_menu remains resident-hall-only.
get_dining_menu accepts these date formats:
YYYY-MM-DDMM-DD-YYYYMM/DD/YYYYYYYY/MM/DD
The public API base URL and site slug can be overridden for testing with
BEARCAT_DINING_API_URL and BEARCAT_DINING_SITE_SLUG.
Project layout
BingMCP/
server.py
cache.py
run.sh
requirements.txt
test_dining.py
test_parking.py
test_mcp.py
test_tools.py
tools/
bus/tool.py
dining/tool.py
events/tool.py
gym/tool.py
laundry/tool.py
library/tool.py
parking/tool.py
test_tool/tool.py
Requirements and setup
- Python 3.10+
python3 -m venv .venv
source .venv/bin/activate
python -m pip install -r requirements.txt
Or use the helper script:
./run.sh
Running the server
stdio (default)
python server.py
Use stdio for local MCP clients that launch the server as a subprocess.
Streamable HTTP
python server.py --transport http
# or
./run.sh --transport http
The HTTP server listens on localhost:8000 and exposes MCP at:
http://localhost:8000/mcp
For a frontend, run the backend with --transport http. If tools appear stale
or the endpoint returns 404, stop any older process still using port 8000 and
start the server again.
Testing
Run the deterministic Bearcat adapter contract tests:
python -m unittest -v test_dining.py
Run the deterministic parking adapter contract tests:
python -m unittest -v test_parking.py
To test the full MCP protocol over HTTP, start the server in one terminal and run this in a second terminal:
python server.py --transport http
python test_mcp.py
test_mcp.py discovers the registered tools and calls each endpoint, including
Bearcat retail hours, parking availability, and the smoke-test tool.
test_tools.py is the live upstream smoke test;
it calls the external campus APIs and therefore depends on network access and
the current operating hours of each service.
Other data sources
- Laundry: LaundryView
- Bus: ETA Spot
- Gym:
https://binggym.com/api/gym - Library: Binghamton LibCal
- Events: B-Engaged mobile events endpoint
- Parking: Binghamton TAPS parking availability
Each source has its own in-memory TTL and background refresh interval in
cache.py. A tool fetch registers the requested key with the server; later
calls are served from memory while the server refreshes that key before its
TTL expires. Concurrent calls for the same uncached key share one upstream
request, so the API is not queried once per MCP request. The events tool uses
the same server-lifetime approach with a full upcoming-event snapshot that is
refreshed every 15 minutes.
Current cache policy:
| Source | Cache TTL | Background refresh |
|---|---|---|
| Bus | 20 seconds | 15 seconds |
| Laundry | 45 seconds | 30 seconds |
| Gym | 2 minutes | 90 seconds |
| Library | 1 minute | 45 seconds |
| Dining | 5 minutes | 4 minutes |
| Parking | 15 minutes | 12 minutes |
The cache is process-local and is cleared when the server restarts. Only keys that have been requested are refreshed, avoiding polling unused buildings, room categories, or menu dates.
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