Zentric Protocol

Name: Zentric Protocol
Author: ZentricProtocol

@ZentricProtocol

About Zentric Protocol

Prompt injection and PII detection MCP server for AI agents. Deterministic, sub-25ms. Returns CLEARED/ANONYMIZED/BLOCKED verdict with matched signatures, PII entities, and GDPR Art.30 audit report. 2,000 free requests/month.

#security #prompt-injection #pii #llm #ai-security #gdpr

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "zentric": {
      "command": "npx",
      "args": [
        "-y",
        "zentric-protocol-mcp"
      ],
      "env": {
        "ZENTRIC_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Tools

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Overview

What is Zentric Protocol?

Zentric Protocol is an infrastructure integrity layer for AI systems. It sits between your application and your LLM, examining every signal (prompts, responses, user inputs) and returning a cryptographically signed verdict before execution continues. It applies deterministic rules across a standardized pipeline: IntegrityGuard for prompt injection detection, PrivacyGuard for PII detection and anonymization, and ZentricReport for signed audit records.

How to use Zentric Protocol?

Use the REST API at https://api.zentricprotocol.com/v1/analyze with a Bearer token (zp_live_...). Send a JSON payload containing the input and desired modules. Responses include a verdict (CLEARED, BLOCKED, ANONYMIZED, REVIEW) plus a full audit report. An API key is obtained via hosted plans (Free tier offers 10,000 requests/month).

Key features of Zentric Protocol

Deterministic, stateless processing — same input always yields same verdict
IntegrityGuard detects prompt injection across 22 signature categories
PrivacyGuard identifies and anonymizes 17 PII entity types
ZentricReport generates SHA-256 signed, UUID‑stamped audit records
Compliance coverage for GDPR, CCPA, and EU AI Act
REST API available now; Python and Node.js SDKs coming Q3 2026

Use cases of Zentric Protocol

Prevent prompt injection and jailbreak attempts in production LLM deployments
Automatically anonymize PII before sending user inputs to an LLM
Generate auditable compliance records for regulated AI pipelines
Add a deterministic safety layer between user‑facing apps and third‑party LLMs
Integrate a single guard or full stack into existing AI infrastructure

FAQ from Zentric Protocol

How does Zentric Protocol differ from a traditional filter or ML‑based classifier?

It does not guess. Zentric Protocol uses deterministic pattern matching across 22 injection signatures and 17 PII entity types. It returns the same verdict for the same input every time, with no probabilistic black box in the critical path.

What are the runtime dependencies and where does data live?

Zentric Protocol is a hosted service — no local dependencies required. The protocol is stateless; it does not store your data. Each request is processed, returned, and the audit record is yours. Cloning the repo gives access only to middleware and schema, not the detection engine.

What are the known limits of the detection capabilities?

IntegrityGuard covers 22 injection signatures in 7 languages (EN, ES, FR, DE, IT, PT, NL). It does not detect semantic injections that don’t match current signatures, non‑English languages beyond those seven, or multi‑turn conversation‑level attacks. Benchmarks reflect deterministic pattern matching, not a generalization claim.

What transports and authentication are supported?

Currently only the REST API is available (HTTPS). Authentication uses a Bearer token (Authorization: Bearer zp_live_...). SDKs (Python and Node.js) are planned for Q3 2026.