kustodyan-mcp
Enables AI agents to protect, unprotect, and search sensitive data using Kustodyan's contextual transform engine with role-based access controls.
README
kustodyan-mcp
A Model Context Protocol server for the Kustodyan data-protection API (powered by the RegData Protection Suite). It lets AI agents and applications protect, unprotect and search sensitive data through Kustodyan's contextual transform engine — so data is tokenized, encrypted, anonymized or masked according to who is asking (a role) and what operation is requested, with every call auditable.
It speaks two transports from one binary:
- stdio (default) — for local use, e.g.
npx kustodyan-mcp - streamable HTTP — for hosting behind a reverse proxy (set
KUSTODYAN_MCP_TRANSPORT=http)
What it does
The Kustodyan Engine exposes a single transform operation; behaviour is selected by
evidence you send — a Role (who) and an Action (Protect / Unprotect / Search)
— plus the (className, propertyName) of each value. The transformation technique
(encryption, tokenization, anonymization, masking) is configured server-side, never chosen
by the caller. This server wraps that model in ergonomic tools.
Tools
| Tool | Purpose |
|---|---|
protect |
Protect field values for a role (encrypt / tokenize / anonymize per config). |
unprotect |
Reverse a protection to recover the original — returns cleartext, treat as sensitive. |
search |
Get a search token to match against a stored protected value. |
transform |
Low-level escape hatch: send a full Engine transform payload. |
validate_transform |
Statically validate a transform payload before sending. |
whoami |
Confirm credentials and the configured environment (decoded token claims). |
health |
Check Identity + Engine reachability. |
list_data_model |
Discover the configured classes, properties, roles and actions. |
Resources & prompts
kustodyan://guide/contextualisation— how Role/Action evidence drives transforms.kustodyan://guide/best-practices— safe, effective use of protect/unprotect.kustodyan://data-model— the configured data-model manifest.- Prompt
protect_record— guides an assistant to protect a record's PII safely.
Configuration (environment)
| Variable | Required | Description |
|---|---|---|
KUSTODYAN_IDENTITY_URL |
yes | e.g. https://<env>.kustodyan.io/api/identity |
KUSTODYAN_ENGINE_URL |
yes | e.g. https://<env>.kustodyan.io/api/engine |
KUSTODYAN_CLIENT_ID |
yes | Engine API client id (from the CoreAdmin portal) |
KUSTODYAN_CLIENT_SECRET |
yes | Engine API client secret |
KUSTODYAN_DATA_MODEL |
no | Path to a data-model manifest JSON (classes/properties/roles) |
KUSTODYAN_MCP_TRANSPORT |
no | stdio (default) or http |
KUSTODYAN_HTTP_HOST / KUSTODYAN_HTTP_PORT |
no | HTTP bind (default 127.0.0.1 / 9090) |
Run locally (stdio)
KUSTODYAN_IDENTITY_URL=https://<env>.kustodyan.io/api/identity \
KUSTODYAN_ENGINE_URL=https://<env>.kustodyan.io/api/engine \
KUSTODYAN_CLIENT_ID=... KUSTODYAN_CLIENT_SECRET=... \
npx kustodyan-mcp
MCP client config (stdio):
{
"mcpServers": {
"kustodyan": {
"command": "npx",
"args": ["-y", "kustodyan-mcp"],
"env": {
"KUSTODYAN_IDENTITY_URL": "https://<env>.kustodyan.io/api/identity",
"KUSTODYAN_ENGINE_URL": "https://<env>.kustodyan.io/api/engine",
"KUSTODYAN_CLIENT_ID": "...",
"KUSTODYAN_CLIENT_SECRET": "..."
}
}
}
}
Run hosted (HTTP, token-gated image)
The container serves streamable HTTP behind an nginx bearer-token gate.
docker run -d -p 8080:8080 \
-e MCP_BEARER_TOKEN=<a long random secret> \
-e KUSTODYAN_IDENTITY_URL=https://<env>.kustodyan.io/api/identity \
-e KUSTODYAN_ENGINE_URL=https://<env>.kustodyan.io/api/engine \
-e KUSTODYAN_CLIENT_ID=... -e KUSTODYAN_CLIENT_SECRET=... \
<image>
Point your MCP client at https://<host>/mcp, sending Authorization: Bearer <MCP_BEARER_TOKEN>
(or ?token=<MCP_BEARER_TOKEN>). GET /healthz is unauthenticated for probes.
Build
npm install
npm run build # -> dist/
npm start # stdio
Safety notes
unprotectreturns cleartext. Never log it, persist it, or call it for an unauthorised role. Prefer a masking role when a partial value suffices.- Discover the data model (
list_data_model) instead of guessingpropertyNames. - Transform calls can succeed (HTTP 200) while individual fields carry a per-field
error— always inspect per-field results.
License
MIT
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