MCP.Market

Umbryn MCP server

by Rinava·io.github.Rinava/umbryn-mcp·v0.2.1

Redacts PII/PHI from text before it reaches an LLM. Fail-closed, self-hosted, no egress.

A88/100grade A
What users say
No reviews yet
Be the first
Safety scan
A88/100

full report

Adoption
New

0 stars26 downloads/wk

Reviews

Write one

Nobody has reviewed Umbryn yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Umbryn tools (3)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • detect

    Report the PHI/PII entities found in text without modifying it.

  • redact

    Replace PHI/PII in text with reversible typed placeholders.

  • restore

    Reverse a redaction using its token map, recovering the original text.

Public scan report

scanner v0.1.10 · 2026-11-03 · same rubric, same numbers if you re-run it

no findings
  • Code scan21 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 82 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Umbryn compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 80% of 4,460 AI and agents servers
Tools
3
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
26
more than 12% of 1,538 AI and agents servers with a package

What its tools let an agent do: 3 read

Install Umbryn in Claude Code, Cursor or VS Code

claude mcp add umbryn-mcp -- uvx umbryn-mcp
Add to Cursor

What the publisher says

From the Umbryn repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.Rinava/umbryn-mcp -->

umbryn-mcp

An MCP server that redacts PII/PHI from text before it ever reaches an LLM — self-hosted, fail-closed, and HIPAA-aware.

Teams building LLM and agent pipelines in regulated domains have no clean, drop-in way to strip PHI/PII from a payload before it crosses into a model provider's infrastructure. umbryn-mcp is that boundary: three MCP tools — redact, restore, detect — that scrub sensitive values into reversible placeholders, run entirely inside infrastructure you control, and block the request if detection is uncertain instead of leaking data.

redact("Patient MRN: 1234567, provider NPI 1234567893, ssn 078-05-1120, john.doe@example.com")

  redacted_text  (safe to send to the model):
    "Patient MRN: [MEDICAL_RECORD_NUMBER_1], provider NPI [NPI_1], ssn [US_SSN_1], [EMAIL_ADDRESS_1]"

  token_map      (kept local, never sent to the model):
    [MEDICAL_RECORD_NUMBER_1] → 1234567
    [NPI_1]                   → 1234567893
    [US_SSN_1]                → 078-05-1120
    [EMAIL_ADDRESS_1]         → john.doe@example.com

Send the redacted text to the model; keep the tokenmap local; call restore afterward to rehydrate the result. Round-trips are byte-exact** and proven with property-based tests.

Why this exists

The PHI/PII-redaction MCP niche is real but underserved — the existing options are thin Presidio wrappers with no HIPAA-specific detection and, critically, no guarantee that a detection failure blocks the request instead of silently passing raw data through. So teams either roll their own boundary or ship sensitive data to a provider and lean on a BAA to cover it — the design-time mistake that causes real compliance incidents.

Why it was built: MCP went mainstream fast — it's now first-class in Claude, Cursor, and ChatGPT, across thousands of servers — but the PHI/PII-redaction corner was left to a few unmaintained wrappers. This fills that gap with a single honest, auditable, fail-closed boundary, kept open source so the redaction logic you depend on is fully inspectable rather than a black box.

Features

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Umbryn: common questions

Is Umbryn MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the Umbryn safety report
How do I install Umbryn?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Umbryn need an API key?
No secret keys are declared. It reads 3 settings from the environment.
Is Umbryn maintained?
The last commit was 82 days ago (2026-08-13). The latest release is v0.2.1.
What can I use instead of Umbryn?
Servers from other publishers that do the same job: PaperBanana MCP server, Decionis MCP server and SuperCompress MCP server.
How does Umbryn compare with other AI and agents MCP servers?
safety score 88/100 (higher than 80% of 4,460 AI and agents servers); tools 3 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Umbryn

Same job from other publishers: the closest match first, then the best rated.

  • PaperBanana
    Generate academic diagrams and statistical plots from text using multi-agent AI.
    A
  • Decionis
    Authorize consequential AI agent actions before execution
    A
  • SuperCompress
    Compress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.
    B
  • Agent Sniper
    Self-custodial pump.fun sniper: arm strategies, snipe, manage positions. Simulate by default.
    B
  • Mnemoverse Memory
    Hosted agent memory that learns from outcomes, with shared rooms. No key: mcp.mnemoverse.com/mcp
    A