Digible Data
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Digible Datacompare Q2 marketing spend to budget by market"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Digible Data — an MCP server
Six composable tools over a multifamily marketing dataset. Ask about money out, people through the leasing funnel, and phone calls — grouped however you need.
Live: https://mcp-digible-queries.fastmcp.app/mcp — public, no sign-in, no key.
The tools
Tool | What it answers |
| The apartment communities under management, optionally by market |
| The marketing channels, and how each one is billed |
| What a period means, and which months the data covers |
| What we spent, and how it compares to budget |
| How many people moved through the funnel, and what they cost |
| How many calls came in, and how many nobody answered |
Three shapes — money, people, phone — plus three lookups. The variety lives in
group_by, not in more tools. leasing_funnel(include_cost=True) joins spend on
the same grouping key, so cost per lead and cost per lease need no extra tool.
period takes what a person would say: "May", "Q2", "last month",
"first half", or "2026-02-01..2026-04-15". If it cannot read one, it says so
and lists what it does understand.
Every tool takes an optional caller for attribution. It defaults, so nobody
using Claude Desktop has to invent a name.
Related MCP server: Northbeam MCP Server
Connecting it
Claude Desktop — add it as a connector with the URL above, then ask in plain language. Nothing to install.
Claude Code
claude mcp add --transport http digible-data https://mcp-digible-queries.fastmcp.app/mcpLocally
pip install -r requirements.txt
python server.py # http://127.0.0.1:8030/mcp
python server.py --stdio # or stdio, if your client prefers itWhere this came from
Built for the Overclock Accelerator MCP training as the worked answer to an exercise: six agents, each with its own way of querying the same database, consolidated into one server. Agent code dropped from 942 lines to 141.
The exercise and the write-up live in digible-mcp-training-starter.
Data
digible.db is synthetic, committed, and opened read-only. Properties,
campaigns, channels, spend, leads, calls, tours, applications and leases,
covering 2026-01 to 2026-06.
MIT licensed.
This server cannot be deployed
Maintenance
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