🛡️ MCP Guardian

Security, cost, and health audit for MCP infrastructure.

Always use the latest version: npm install -g @mcp-guardian/server@latest — current is v1.3.5. See the Changelog for full version history and GitHub Releases for per-version source tags.

MCP Guardian is a security and governance proxy for Model Context Protocol (MCP) infrastructure. It sits between AI clients and MCP servers, enforcing active security policies, tracking real token costs, and monitoring health — all while providing enterprise-grade observability and audit trails.

Key positioning: Runtime governance and security proxy for MCP infrastructure — with threat modeling, semantic shell analysis, mTLS, and zero-trust networking.

It works as both an MCP server (so AI assistants like Cline/Claude can invoke its tools) and a standalone CLI.

Table of Contents

• Why MCP Guardian?

• Features

• Installation

• Quick Start

  • Proxy Workflow (Real Cost Tracking)

  • One-Off Scan

• CLI Reference

  • mcp-guardian proxy

  • Policy Engine (v0.4+)

  • mcp-guardian scan

  • mcp-guardian audit

  • mcp-guardian health

  • mcp-guardian report

• MCP Server (AI Assistant Integration)

  • Available Tools

  • Available Resources & Prompts

• Web Dashboard (v1.0)

• CI/CD Integration

• Production Deployment (K8s + Helm)

• Docker

• Architecture

  • Data Flow (Proxy → DB → Audit)

• Config Discovery

• Security Scoring Model

• Pricing Models

• Environment Variables

• Development

• SECURITY.md

• FAQ

• Roadmap

• License

Related MCP server: SentinelGate

Why MCP Guardian?

As MCP adoption grows, so does the attack surface. MCP servers run arbitrary commands, access filesystems, make network calls, and handle sensitive data — often with zero visibility into their security posture or operational cost.

MCP Guardian provides:

• Active policy enforcement (v0.4+) — YAML-configurable policy engine that blocks, flags, or passes every tools/call in real time based on tool allowlists/denylists, regex patterns, rate limits, and token budgets

• Security auditing — CVE scanning (OSV.dev + NVD), hardcoded secret detection, typo-squatting detection, command injection detection, and TLS validation

• Real cost tracking — Proxy interceptor that captures actual tools/call traffic and counts tokens via tiktoken (o200k_base encoding) — no estimates, no mocks

• Health monitoring — Live JSON-RPC 2.0 handshake probes with latency, success rate, tool count, and context pressure analysis

• Agent-native — Runs as an MCP server so your AI assistant can self-audit its own infrastructure

• Enterprise SIEM logging (v0.4+) — Structured JSON logs via pino with request-ID tracing, policy decision audit trails, and block events at WARN level

• Session-based replay protection (v0.6.0) — Short-lived 5-min session tokens prevent JWT replay attacks. Nonce tracking detects token reuse

• Hot-reload policies (v0.6.0) — File watcher atomically swaps policy engine on YAML changes — no restart needed

• Circuit breaker (v0.5.2) — 3-state circuit breaker protects upstream MCP servers from cascading failures

• OAuth 2.1 / OIDC (v0.5.0) — JWT validation with OIDC Discovery, bearer token extraction, agent identity mapping

• RBAC (v0.5.1) — Scope-based and client-ID-based access control in policy engine

• Web dashboard (v1.0) — Real-time monitoring dashboard with live Prometheus metrics, per-server circuit breaker status, policy editor, and auto-refresh

• Redis shared state (v1.0) — Redis-backed session cache and rate limit counters for multi-replica HA

• DPoP (v1.0) — RFC 9449 sender-constrained token support for replay-proof authentication

• OpenTelemetry (v1.0) — Distributed tracing across proxy and MCP servers via OTLP

• HTTP/SSE proxy (v0.8.0) — Full proxy support for remote HTTP/SSE-based MCP servers

• Payload normalization (v1.2.0) — Multi-stage decoder defeats URL/hex/unicode/HTML entity/shell obfuscation bypass attacks before regex evaluation

• Semantic shell analysis (v1.2.0) — AST-based tokenization detects command substitution, pipe chains, redirects, and 33 dangerous commands semantically

• Dashboard authentication (v1.2.0) — JWT session tokens, API key auth, CSRF protection, and rate-limited login for the web dashboard

• mTLS zero-trust networking (v1.3.0) — Mutual TLS with client certificates for proxy ↔ upstream MCP server communication

• E2E proxy tests (v1.3.0) — Real proxy spawns with default-policy.yaml, sends JSON-RPC, verifies block/pass/deny

• Supply chain CI (v1.3.0) — GitHub Actions pipeline with npm audit --audit-level=high, CycloneDX SBOM generation, and .npmrc enforcement

• Operational runbooks (v1.3.0) — 7 production runbooks covering circuit breaker, Redis, policy corruption, dashboard auth, latency, DB corruption, and token spikes with SLOs

• Disaster recovery plan (v1.3.0) — RTO/RPO for all state types, backup strategy, recovery drills, and rollback procedures

Features

🔒 Security Scan (scan_security)

💰 Cost Audit (audit_costs)

• Proxy Interceptor — mcp-guardian proxy sits between your AI client and MCP servers, capturing every tools/call request/response

• Real Token Counting — Uses tiktoken (o200k_base encoding) on actual JSON-RPC traffic — no hardcoded estimates

• Multi-Model Pricing — 97 models across 17 providers (OpenAI, Anthropic, Google, DeepSeek, xAI, Meta, Mistral, and more)

• Tool-Level Breakdown — Per-tool token usage, call counts, duration, and cost estimates

• Custom Pricing — Override via PRICING_OVERRIDES env var: {"my-model": {"input": 2.0, "output": 6.0}}

❤️ Health Monitor (check_health)

• Live Probes — Full JSON-RPC 2.0 handshake (initialize → initialized → tools/list) with request/response correlation

• SSE Probing — Multi-path discovery (/, /sse, /message) with auth header injection and timeout handling

• Latency Tracking — End-to-end latency per server with historical success rates from SQLite

• Overload Detection — Warns when >15 tools exposed; context pressure estimation

📊 Full Report (full_report)

• Three Output Formats — Colored text, Markdown tables, structured JSON (with resource MIME type for agent consumption)

• Overall Score — Composite security + health score (0–100)

• Database Storage — All scans, costs, health checks, and proxy-captured call records persisted in SQLite (4 tables, batched writes)

🔧 Production Features

• Dependency Injection — IoC container (src/container.ts) for testability and runtime swaps

• Rate Limiting — Token-bucket rate limiter on OSV.dev and NVD API calls

• Graceful Shutdown — SIGINT/SIGTERM handlers flush DB and close connections

• Batched DB Writes — 1s debounced flush reduces I/O by 10x

• Alert Thresholds — 6 CLI flags with exit codes 1/2 for CI/CD integration

• GitHub Actions CI — Node 18/20/22 matrix, 97 tests across 13 suites

• npm published — @mcp-guardian/server@1.1.0 — install via npm install -g @mcp-guardian/server

Installation

From npm (recommended)

npm install -g @mcp-guardian/server

After global install, the mcp-guardian command is available in your PATH.

From source

git clone https://github.com/rudraneel93/mcp-guardian.git
cd mcp-guardian
npm install
npm run build

Requirements: Node.js ≥ 18, npm ≥ 9

Quick Start

Proxy Workflow (Real Cost Tracking)

The recommended workflow for getting real token cost data:

# 1. Start the proxy — it wraps your MCP servers and intercepts every tools/call
mcp-guardian proxy --config ./cline_mcp_settings.json

# 2. In another terminal, run your normal Cline/Claude workflows
#    Every tools/call is captured with real token counts

# 3. When done, Ctrl+C the proxy, then audit real costs
mcp-guardian audit --config ./cline_mcp_settings.json

# 4. Generate full report with real security + cost + health data
mcp-guardian report --config ./cline_mcp_settings.json

Example output (real data from proxy against 3 MCP servers):

💰 Cost Audit
github:      194 tokens, $0.0018 (gpt-4o)
filesystem:  245 tokens, $0.0026 (gpt-4o)
puppeteer:   216 tokens, $0.0021 (gpt-4o)
Total estimated cost: $0.0065

❤️ Health Check
github:      902ms latency,  100% success, 26 tools
filesystem: 1253ms latency,  100% success, 14 tools
puppeteer:  1275ms latency,  100% success,  7 tools

🔒 Security Scan
github - Score: D (0)  — 20 CVEs, hardcoded token detected
filesystem - Score: C (50) — 20 CVEs, needs auth
puppeteer - Score: D (10) — 3 CVEs (1 critical), needs auth

Overall Score: 60/100

Important: The cost audit will show $0.0000 until the proxy has been running and captured real tools/call traffic. This is not a bug — the call_records table starts empty.

One-Off Scan

# Quick security scan on auto-discovered configs
mcp-guardian scan

# Scan with thresholds for CI
mcp-guardian scan --config ./cline_mcp_settings.json --fail-on-critical --fail-on-secrets --threshold-score 70

# Check health
mcp-guardian health --server github-server --fail-on-overload --threshold-latency 2000

# Generate a Markdown report for documentation
mcp-guardian report --format markdown --output audit-report.md

CLI Reference

mcp-guardian proxy

Start the MCP proxy interceptor with optional active policy enforcement.

# Audit-only (passive)
mcp-guardian proxy --config ./cline_mcp_settings.json

# Active blocking with default policy
mcp-guardian proxy --config ./cline_mcp_settings.json --policy ./default-policy.yaml

# Active blocking with custom policy + mode override
mcp-guardian proxy --config ./cline_mcp_settings.json --policy ./my-policy.yaml --blocking-mode block

Policy Engine (v0.4+)

The policy engine evaluates every intercepted tools/call before it reaches the MCP server. Define rules in YAML:

# my-policy.yaml
version: "1.0"
policy:
  mode: block
  rules:
    - name: "deny-shell-tools"
      action: block
      tools: { deny: ["execute_command", "bash", "sh", "eval", "exec"] }
    - name: "block-injection"
      action: block
      patterns:
        - "rm\\s+-rf"
        - "curl\\s|wget\\s"
        - ";\\s*\\w"
        - "&&|\\|\\|"
    - name: "rate-limit"
      action: flag
      maxCallsPerMinute: 60
    - name: "token-budget"
      action: flag
      maxTokens: 50000

Blocked calls return a JSON-RPC 2.0 error to the client:

{"jsonrpc":"2.0","id":"abc-123","error":{"code":-32001,"message":"Blocked by MCP Guardian policy: Tool 'execute_command' is explicitly denied"}}

Policy modes:

mcp-guardian scan

Run security scan on MCP servers.

mcp-guardian scan
mcp-guardian scan --config ./config.json --fail-on-secrets
mcp-guardian scan --all --threshold-score 70

mcp-guardian audit

Audit token costs. Reads real call records if proxy was used, otherwise shows zero-data note.

mcp-guardian audit
mcp-guardian audit --server github-server
mcp-guardian audit --threshold-cost 0.50

mcp-guardian health

Check health, latency, and reliability of MCP servers. Uses real JSON-RPC handshake probes.

mcp-guardian health
mcp-guardian health --server filesystem
mcp-guardian health --threshold-latency 2000 --fail-on-overload

mcp-guardian report

Generate a complete security, cost, and health report.

mcp-guardian report
mcp-guardian report --format markdown
mcp-guardian report --format json --config ~/.cursor/mcp.json
mcp-guardian report --all --threshold-score 60

MCP Server (AI Assistant Integration)

Add to your cline_mcp_settings.json or claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-guardian": {
      "command": "npx",
      "args": ["-y", "@mcp-guardian/server"]
    }
  }
}

Or with a local install:

{
  "mcpServers": {
    "mcp-guardian": {
      "command": "node",
      "args": ["path/to/mcp-guardian/dist/index.js"]
    }
  }
}

Available Tools

JSON format reports also include a structured resource content type (MIME: application/json) so AI assistants can consume reports programmatically.

Available Resources & Prompts

• Resource: mcp-guardian://latest-scan — exposes the most recent security scan as structured JSON

• Prompt: audit-config — generates structured audit instructions for an MCP config path, which the assistant can use to guide its investigation

Web Dashboard (v1.0)

MCP Guardian includes a built-in web dashboard for real-time monitoring of your MCP infrastructure.

Start the dashboard alongside the proxy:

DASHBOARD_ENABLED=true METRICS_ENABLED=true \
mcp-guardian proxy --policy ./default-policy.yaml --blocking-mode warn

Then open http://localhost:4000 in your browser.

Dashboard features:

• Real-time Prometheus metrics — Parses live Prometheus text format and displays per-server request counts, blocked counts, and circuit breaker states

• Live policy viewer — Shows active policy mode and rules via /api/policy endpoint

• Hot-reload — Policy changes are auto-detected by the file watcher; the dashboard reflects them within 300ms

• Auto-refresh — Metrics and policy refresh every 5 seconds

• Dark theme — GitHub-style dark UI designed for ops monitoring

Environment Variables for Dashboard

The dashboard server proxies /metrics from the Prometheus server (port 9090) to the dashboard port (4000) so there are no CORS issues. All data displayed is live — zero mock data.

CI/CD Integration

Run MCP Guardian in CI to catch issues before deployment:

- name: MCP Guardian Security Scan
  run: npx @mcp-guardian/server scan --config ./cline_mcp_settings.json --fail-on-critical --fail-on-secrets
  env:
    NVD_API_KEY: ${{ secrets.NVD_API_KEY }}

- name: MCP Guardian Cost Audit
  run: npx @mcp-guardian/server audit --all --threshold-cost 0.50

- name: MCP Guardian Health Check
  run: npx @mcp-guardian/server health --all --threshold-latency 3000 --fail-on-overload

Exit Codes

Production Deployment (K8s + Helm)

See the full guide at deploy/PRODUCTION.md.

Quick Helm Install

# Install from local chart
helm install mcp-guardian ./deploy/helm/mcp-guardian \
  --set config.policy.mode=block \
  --set config.mcpConfigPath=/etc/mcp-guardian/cline_mcp_settings.json

# Or from the repo (future)
helm repo add mcp-guardian https://rudraneel93.github.io/mcp-guardian
helm install mcp-guardian mcp-guardian/mcp-guardian

Key Features

• Helm chart with ConfigMap-backed policies, PVC persistence, and safe defaults

• Fail-closed by default (block traffic if proxy crashes) — configurable to fail-open

• Sidecar injection pattern documented for stdio MCP servers

• Scaling guide with CPU/memory recommendations per traffic level

• Pod Disruption Budget for HA, anti-affinity for multi-AZ

• SIEM integration via pino structured JSON logs (Splunk, Datadog, Elasticsearch)

Performance Overhead

Policy engine adds ~0.15ms — negligible. The ~26ms is Node.js child process stdio overhead.

Docker

A Docker image is available for running the proxy in containerized environments.

# Build
docker build -t mcp-guardian .

# Run proxy
docker run -i \
  -v $(pwd)/cline_mcp_settings.json:/app/cline_mcp_settings.json \
  -v mcp-guardian-db:/root/.mcp-guardian \
  mcp-guardian --config /app/cline_mcp_settings.json

The Dockerfile uses node:20-alpine and runs mcp-guardian proxy as the default entrypoint.

Architecture

Trust Boundaries

┌─────────────────────────────────────────────────────────┐
│                   TRUSTED ZONE                           │
│  ┌──────────┐    ┌──────────────┐    ┌──────────────┐  │
│  │ AI Client │───▶│ MCP Guardian │───▶│  MCP Server  │  │
│  │ (Cline/   │    │   (Proxy)    │    │  (stdio/SSE) │  │
│  │  Claude)  │◀───│              │◀───│              │  │
│  └──────────┘    └──────┬───────┘    └──────────────┘  │
│                         │                               │
│              ┌──────────▼──────────┐                    │
│              │ Policy Engine       │                    │
│              │ Auth Gateway        │                    │
│              │ Audit Logger (pino) │                    │
│              │ Metrics (Prometheus)│                    │
│              └─────────────────────┘                    │
└─────────────────────────────────────────────────────────┘
                         ║
                    TRUST BOUNDARY
                         ║
┌─────────────────────────────────────────────────────────┐
│                  UNTRUSTED ZONE                          │
│  • External MCP servers (SSE/HTTP)                       │
│  • OIDC identity providers                               │
│  • CVE data sources (OSV.dev, NVD)                       │
│  • Package registries (npm, PyPI)                        │
│  • AI model outputs (prompt injection vectors)            │
└─────────────────────────────────────────────────────────┘

Comparison with Alternatives

Source Tree

mcp-guardian/
├── src/
│   ├── index.ts                    # MCP server entry (stdio transport)
│   ├── cli.ts                      # CLI wrapper (5 commands: proxy, scan, audit, health, report)
│   ├── container.ts                # Dependency injection container (IoC)
│   ├── types.ts                    # Shared TypeScript interfaces (8 types)
│   ├── config-parser.ts            # Multi-format config parsing with multi-file aggregation
│   │
│   ├── proxy/                      # MCP Proxy Interceptor (real cost engine)
│   │   ├── proxy-server.ts         # Intercepts tools/call, counts tokens via tiktoken
│   │   └── proxy-manager.ts        # Spawns proxies for all stdio servers
│   │
│   ├── services/                   # Orchestrators
│   │   ├── security-scanner.ts     # Parallel security checks + weighted scoring
│   │   ├── cost-auditor.ts         # Reads real call_records from DB (zero mock data)
│   │   └── health-monitor.ts       # Live JSON-RPC probing + DB integration
│   │
│   ├── scanners/                   # Individual security checks
│   │   ├── cve-checker.ts          # OSV.dev → NVD fallback chain (rate-limited)
│   │   ├── auth-prober.ts          # Auth/transport detection (env + URL patterns)
│   │   ├── typo-squat-detector.ts  # Levenshtein distance (O(n) memory)
│   │   ├── secret-scanner.ts       # 6 regex patterns for secrets
│   │   └── command-validator.ts    # 10 suspicious pattern checks for command injection
│   │
│   ├── clients/                    # External API clients
│   │   ├── osv-client.ts           # api.osv.dev (purl-based, token-bucket rate-limited)
│   │   ├── nvd-client.ts           # NIST NVD (API key support, rate-limited)
│   │   └── pricing-client.ts       # 97 models, 17 providers, custom override support
│   │
│   ├── database/
│   │   └── history-db.ts           # SQLite via sql.js (4 tables, batched writes, 1s debounce)
│   │
│   ├── reporter/
│   │   └── report-generator.ts     # Text, Markdown, JSON formatting
│   │
│   └── utils/
│       ├── token-counter.ts        # tiktoken (o200k_base) wrapper
│       ├── mcp-client.ts           # Full JSON-RPC 2.0 state machine + SSE probing
│       ├── rate-limiter.ts         # Token-bucket rate limiter
│       ├── tls-checker.ts          # TLS certificate validation (expiry, issuer, chain)
│       ├── scoring.ts              # Shared scoring utility
│       └── logger.ts              # Colored console logger with log levels
│
tests/                              # 74 tests across 11 suites (Vitest)
├── config-parser.test.ts
├── secret-scanner.test.ts
├── auth-prober.test.ts
├── typo-squat-detector.test.ts
├── scoring.test.ts
├── pricing-client.test.ts
├── services/
│   ├── cost-auditor.test.ts
│   └── security-scanner.test.ts
└── integration/
    ├── proxy-audit.test.ts
    └── full-pipeline.test.ts

Data Flow (Proxy → DB → Audit)

AI Client (Cline/Claude)
        │
        │ tools/call JSON-RPC
        ▼
┌───────────────────┐
│ MCP Proxy Server  │ ← mcp-guardian proxy
│ (proxy-server.ts) │
└───────┬───────────┘
        │ counts tokens (tiktoken o200k_base)
        ▼
┌───────────────────┐
│ call_records table │ ← SQLite (sql.js)
│ (history-db.ts)   │
└───────┬───────────┘
        │ async getCallRecordsForServer()
        ▼
┌───────────────────┐
│   Cost Auditor    │ ← mcp-guardian audit / report
│ (cost-auditor.ts) │
└───────────────────┘
        │ per-tool breakdown + multi-model pricing (97 models)
        ▼
   Cost Report ($0.0023, gpt-4o)

Config Discovery

MCP Guardian auto-discovers config files from these standard locations:

Use --config / -c for a custom path, or --all / -a to aggregate all discoverable configs with deduplication (first file wins for duplicate server names).

Security Scoring Model

Each server receives a score from 0–100 with these deductions:

Letter grades: A (80–100), B (60–79), C (40–59), D (0–39)

Pricing Models

97 models across 17 providers. Cached rates per 1M tokens (as of mid-2025):

Unknown models receive a conservative default estimate of $10/$30 per million tokens. Override any model via the PRICING_OVERRIDES env var.

Environment Variables

Development

# Clone and install
git clone https://github.com/rudraneel93/mcp-guardian.git
cd mcp-guardian
npm install

# Development
npm run dev          # Watch mode with tsx
npm run build        # Compile TypeScript
npm run lint         # Type check (tsc --noEmit)
npm test             # 97 tests across 13 suites (Vitest)
npm run test:watch   # Watch mode

# Contributing
# See CONTRIBUTING.md for guidelines on adding scanners, pricing models, and tests.

FAQ

Why does mcp-guardian audit show $0.0000?

The cost audit reads real data from the proxy's database. You must run mcp-guardian proxy first to capture tools/call traffic, then run audit. Without proxy data, the call_records table is empty and the audit returns zero.

Do I need an NVD API key?

No, but you'll be rate-limited to 5 requests per minute without one. Get a free key at NIST NVD for 20 req/min.

How do I run the proxy alongside my AI assistant?

Start mcp-guardian proxy --config <path> in one terminal, then run your AI assistant normally in another. The proxy sits between the assistant and MCP servers, transparently capturing all tools/call traffic.

What does the proxy intercept?

The proxy only tracks tools/call JSON-RPC messages — it counts input tokens (the request) and output tokens (the response). It forwards all other messages without tracking.

Can I use MCP Guardian with SSE/HTTP transports?

The security scan and health monitor support SSE/HTTP transports. The proxy currently supports stdio transports only (it spawns child processes). Cost auditing via proxy works only for stdio-based MCP servers.

How do I override pricing for my custom model?

Set the PRICING_OVERRIDES environment variable with JSON:

export PRICING_OVERRIDES='{"my-custom-model": {"input": 2.0, "output": 6.0}}'

Rates are in USD per 1 million tokens.

Where is the database stored?

By default, SQLite data is stored at ~/.mcp-guardian/history.db. Override with the MCP_GUARDIAN_DB_PATH environment variable. The database has 4 tables: security_scans, cost_records, health_checks, and call_records.

What's the difference between --config and --all?

• --config <path> loads a single config file

• --all auto-discovers and aggregates all config files from known locations (Cline, Claude Desktop, Cursor, Windsurf), deduplicating servers by name

Can I run MCP Guardian in CI/CD?

Yes. Use the alert threshold flags (--fail-on-critical, --fail-on-secrets, --threshold-score, etc.) which return non-zero exit codes that CI systems understand. See the CI/CD Integration section for examples.

How accurate is the token counting?

Token counting uses tiktoken with the o200k_base encoding (used by GPT-4o and many modern models). For non-OpenAI models, this provides a close approximation since most modern tokenizers are similar in granularity.

Roadmap

• Core security, cost, and health scanning

• MCP server + CLI dual entry points (5 commands)

• NVD + OSV.dev CVE integration (rate-limited)

• SQLite history tracking (4 tables, batched writes)

• Real MCP handshake probing (JSON-RPC 2.0 state machine)

• SSE/HTTP transport support (multi-path discovery)

• Custom pricing configuration (PRICING_OVERRIDES env var)

• Alert thresholds with exit codes (6 flags)

• Multiple config file aggregation (--all + deduplication)

• MCP Proxy Interceptor — real token capture with zero mock data

• Dependency injection container (IoC pattern)

• Token-bucket rate limiter (OSV + NVD)

• TLS certificate validation

• Command injection validation (10 suspicious patterns)

• Active policy engine — YAML-based pass/block/flag with allowlists, regex, rate limiting, token budgets

• Structured JSON logging (pino) for SIEM ingestion

• STRIDE threat model (SECURITY.md) + formal THREAT_MODEL.md

• Payload normalization — multi-stage encode/decode bypass defense

• Semantic shell AST analysis — command substitution, pipe, and dangerous command detection

• Dashboard authentication — JWT sessions, API keys, CSRF protection

• mTLS zero-trust networking for proxy ↔ upstream communication

• 168 tests across 16 suites (unit, fuzz, integration, E2E)

• GitHub Actions CI (Node 18/20/22 matrix) + supply chain audit

• Performance benchmarks (p50: 5ms baseline, +25.78ms proxy overhead, +0.15ms policy)

• Helm chart + production deployment guide (K8s, fail-open/closed, sidecar pattern, scaling)

• Published to npm as @mcp-guardian/server@1.3.3

• OAuth 2.1 / OIDC proxy authentication (v0.5.0)

• RBAC — scope & client-ID-based access control (v0.5.1)

• Circuit breaker — 3-state protection for upstream servers (v0.5.2)

• Per‑client rate limiting (v0.5.2)

• Consistent SIEM fields — requestId, authnSuccess, authzAllowed (v0.5.2)

• Session binding — replay protection via 5‑min session tokens (v0.6.0)

• Hot‑reload policies — chokidar file watcher (v0.6.0)

• Redis session cache — cross‑replica HA session store (v0.7.0)

• Prometheus metrics endpoint — counters, gauges, histograms (v0.7.0)

• E2E integration tests — real MCP server through proxy (v0.7.0)

• Web dashboard — live metrics, policy editor, per-server status (v1.0)

• Redis shared rate limit counters (v1.0)

• DPoP support — RFC 9449 sender-constrained tokens (v1.0)

• OpenTelemetry tracing — distributed request tracking (v1.0)

• HTTP/SSE proxy server — remote MCP transport support (v0.8.0)

• E2E proxy tests — real CLI spawn with policy file (v1.3.0)

• Supply chain CI — npm audit, CycloneDX SBOM, npm provenance (v1.3.0)

• Operational runbooks — 7 scenarios with SLOs (v1.3.0)

• Disaster recovery plan — RTO/RPO, backup strategy, recovery drills (v1.3.0)

• GitHub primary language corrected to TypeScript (v1.3.3)

• npm keywords expanded to 22 terms for discoverability (v1.3.3)

• OPA/Rego policy integration

• Slack/Discord alerting

• Multi-user proxy

• Hosted SaaS version

License

MIT — see LICENSE for details.

Built with TypeScript, @modelcontextprotocol/sdk, tiktoken, sql.js, commander, chalk, zod, jose, pino, and prom-client.