kustodyan-mcp

kustodyan-mcp

Enables AI agents to protect, unprotect, and search sensitive data using Kustodyan's contextual transform engine with role-based access controls.

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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

  • unprotect returns 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 guessing propertyNames.
  • 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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