sphere-mcp
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., "@sphere-mcpProfile and analyze sensitive data via a synthetic twin."
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.
sphere-mcp
The SPHERE privacy boundary, exposed as an MCP server. An agent analyses sensitive data without ever receiving an individual record.
Status: Phase 1. The loop works end to end. The SDC gate and the disclosure ladder are not built yet — see Limits below, and do not make claims beyond them.
What it does
Tool | The model receives |
| A format-redacted profile: names, dtypes, distinct counts, missingness, masked patterns ( |
| A certified synthetic twin + fidelity/privacy scores. Safe to read. |
| Full results — the twin is synthetic. |
| Only whether it worked. Results go to the user, on disk. |
| Debugs a real-data discrepancy by perturbing the twin until it reproduces the symptom. |
| An audit ledger of everything that crossed into the model's context. |
Related MCP server: agami-core
Setup (Claude Desktop)
~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"sphere": {
"command": "/opt/homebrew/bin/node",
"args": ["/absolute/path/to/sphere-mcp/src/server.js"],
"env": {
"SPHERE_CLI": "/absolute/path/to/sphere-cli/bin/sphere.js",
"SPHERE_VAULT": "~/.sphere/vault"
}
}
}
}Restart Claude Desktop. Then:
I have sensitive data at
/path/to/patients.csv. Use SPHERE — I don't want you reading the real records. Profile it, make a twin, explore what's there, and when the analysis looks right, deploy it to the real data.
Results from the real run land in the session directory as real-output.txt and
real-*.png. You read them; the model does not.
How the guarantee is enforced
Not by asking the model nicely. Two mechanisms:
What we send — the profiler emits shapes, never values. The real path is never returned to the model (
sphere_statussays so explicitly).What model-authored code can reach — a macOS Seatbelt profile that denies the whole home tree and re-allows exactly the twin plus a session directory, with network denied outright and an allow-list environment carrying no credentials.
Verified by attacking it (node test/boundary.test.mjs):
ok blocked read the real CSV by absolute path
ok blocked read the real CSV via pandas
ok blocked list the home directory for other datasets
ok blocked open a network socket to exfiltrate
ok blocked harvest credentials from the environment
ok blocked write outside the session directory
ok blocked read a dataset OUTSIDE the home directory
ok ALLOWED read the twin (this is the point)That second-to-last case is there because the first two versions of the sandbox
failed it. Denying $HOME misses data on /tmp, /Volumes or a lab mount; and
once denied, /tmp still resolved to /private/tmp, which Seatbelt matches
instead — so the rule looked right and never fired. Both forms of every path are
emitted now.
Limits — read before claiming anything
No SDC gate yet.
sphere_deploywithholds results from the model entirely, so nothing real flows back today. The moment you add a return path, aggregate outputs can disclose individuals (n=1 group means, min/max, residuals, a scatter plot). Build the gate before you open that door.A twin is not automatically non-disclosive. Extreme values in particular deserve checking before you treat a twin as safe to share — a maximum is always some real individual's value, wherever it appears. Evaluate each twin on its own evidence rather than assuming the category is safe.
The deny list is a list. The registered dataset is always denied, by resolved path and containing directory, along with the usual data locations (
$HOME,/Users,/Volumes,/mnt,/media,/srv,/data,/tmp). A file outside all of those is readable. Denying everything and allow-listing instead is the better shape and was tried:(deny file-read*)also denies metadata, so the loader cannot resolve its own binary and Python dies with SIGABRT beforemain(). Worth revisiting with a pinned interpreter.macOS only. The sandbox is Seatbelt. Linux needs bubblewrap or a container, and Linux is what any institutional deployment will run.
Other tools bypass everything. This server controls its own tools. If the same client also has shell or filesystem access to the real path, the boundary is a convention. In Claude Desktop that is usually fine (no filesystem tool by default). In Claude Code, add a deny rule; at institutional scale, put the data under a different OS user or in a container.
Column names reach the model. Alias them if a name is itself sensitive.
Testing
node test/boundary.test.mjsThe tests attack the server rather than exercising it, and each case declares what "blocked" looks like for that mechanism — a denied read raises, a denied directory lists empty, a scrubbed environment yields no keys. Do not collapse these into "did it error?"; an earlier version did and reported two false leaks. A traceback also echoes the offending source line, so never assert on a success sentinel that appears in the code itself.
This server cannot be deployed
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