Guardrails Mcp Server

Name: Guardrails Mcp Server
Author: ExpertVagabond

by ExpertVagabond

MCP server for AI agent security -- input validation, prompt injection detection, PII redaction, policy enforcement, rate limiting, and audit logging

1 6 tools GitHub

No known CVEs

MIT license

Maintained

Last commit 67d ago

Works with most clients

Transport: stdio, http

6 tools · ~294 tok

Grade A · 0.1% of 200K ctx

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Security AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "guardrails": {
      "args": [
        "/path/to/guardrails-mcp-server/index.js"
      ],
      "type": "stdio",
      "command": "node"
    }
  }
}

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What Guardrails Mcp Server does

!License: MIT !MCP !Node.js

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

69/100across 5 weighted dimensions

How we score →

0255075100

−31

Security

Maintenance

Efficiency

Documentation

Compatibility

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Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (6)

Click any tool to inspect its schema.

~294 tokens total

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Frequently Asked Questions

Is Guardrails Mcp Server safe to use?: Guardrails Mcp Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Guardrails Mcp Server?: Guardrails Mcp Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Guardrails Mcp Server do?: Guardrails Mcp Server provides 6 tools: validate_input, filter_output, check_policy, get_audit_logs, get_stats and 1 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Guardrails Mcp Server?: Guardrails Mcp Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is Guardrails Mcp Server actively maintained?: Guardrails Mcp Server is recently maintained — last commit was 67 days ago. It has 1 GitHub stars.

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guardrails-mcp-server

MCP server for AI agent security guardrails. Provides input validation, prompt injection detection, PII redaction, output filtering, policy enforcement, rate limiting, and comprehensive audit logging.

Tools

Tool	Description
`validate_input`	Validate and sanitize incoming requests through all guardrail checks
`filter_output`	Filter and redact sensitive data (PII, secrets, credentials) from responses
`check_policy`	Evaluate a request against security policies (RBAC, resource access, quotas)
`get_audit_logs`	Query the audit log with filtering by type, user, time range
`get_stats`	Get engine statistics including active users, block rate, request counts
`update_config`	Update guardrail configuration at runtime

Tool

Description

validate_input

Validate and sanitize incoming requests through all guardrail checks

filter_output

Filter and redact sensitive data (PII, secrets, credentials) from responses

check_policy

Evaluate a request against security policies (RBAC, resource access, quotas)

get_audit_logs

Query the audit log with filtering by type, user, time range

get_stats

Get engine statistics including active users, block rate, request counts

update_config

Update guardrail configuration at runtime

Security Features

Prompt Injection Detection -- 12 regex patterns for jailbreak, DAN mode, system prompt override

PII Detection and Redaction -- SSN, credit card, email, phone, IP, API keys, AWS keys, JWT, passwords, private keys, connection strings

Malicious Code Blocking -- eval, exec, subprocess, child_process, shell injection

Policy Engine -- Block sensitive paths, dangerous tools, unauthenticated destructive ops, URL allowlist, maintenance windows

Rate Limiting -- Per-user sliding window (configurable requests/minute)

Audit Logging -- Timestamped events with metrics, log rotation, external handler support

Project Structure

src/engine/GuardrailsEngine.js # Core orchestration src/validators/InputValidator.js # Prompt injection and PII detection src/filters/OutputFilter.js # Redaction and harmful content blocking src/policies/PolicyEngine.js # RBAC, quotas, maintenance windows src/audit/AuditLogger.js # Event logging and metrics

Frequently Asked Questions

Is Guardrails Mcp Server safe to use?

Guardrails Mcp Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Guardrails Mcp Server?

Guardrails Mcp Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Guardrails Mcp Server do?

Guardrails Mcp Server provides 6 tools: validate_input, filter_output, check_policy, get_audit_logs, get_stats and 1 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Guardrails Mcp Server?

Guardrails Mcp Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.

Is Guardrails Mcp Server actively maintained?

Guardrails Mcp Server is recently maintained — last commit was 67 days ago. It has 1 GitHub stars.

guardrails-mcp-server

Tools

Tool	Description
`validate_input`	Validate and sanitize incoming requests through all guardrail checks
`filter_output`	Filter and redact sensitive data (PII, secrets, credentials) from responses
`check_policy`	Evaluate a request against security policies (RBAC, resource access, quotas)
`get_audit_logs`	Query the audit log with filtering by type, user, time range
`get_stats`	Get engine statistics including active users, block rate, request counts
`update_config`	Update guardrail configuration at runtime

Tool

Description

validate_input

Validate and sanitize incoming requests through all guardrail checks

filter_output

Filter and redact sensitive data (PII, secrets, credentials) from responses

check_policy

Evaluate a request against security policies (RBAC, resource access, quotas)

get_audit_logs

Query the audit log with filtering by type, user, time range

get_stats

Get engine statistics including active users, block rate, request counts

update_config

Update guardrail configuration at runtime

Security Features

Prompt Injection Detection -- 12 regex patterns for jailbreak, DAN mode, system prompt override

PII Detection and Redaction -- SSN, credit card, email, phone, IP, API keys, AWS keys, JWT, passwords, private keys, connection strings

Malicious Code Blocking -- eval, exec, subprocess, child_process, shell injection

Policy Engine -- Block sensitive paths, dangerous tools, unauthenticated destructive ops, URL allowlist, maintenance windows

Rate Limiting -- Per-user sliding window (configurable requests/minute)

Audit Logging -- Timestamped events with metrics, log rotation, external handler support

Project Structure

Guardrails Mcp Server

Install in your client