MCP Guardian
@rudraneel93
Basic information
About MCP Guardian
> MCP Guardian is a runtime security, cost governance, and health monitoring proxy for MCP infrastructure. Three-layer detection engine (regex → schema → LLM), YAML policy engine with hot-reload, 50+ secret patterns + Shannon entropy, AST command validation, JWT algorithm pinning
MCP Guardian config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-guardian": {
"command": "npx",
"args": [
"-y",
"@mcp-guardian/server"
]
}
}
}MCP Guardian tools
60Scan MCP server configurations for security vulnerabilities (CVEs, auth, typo-squatting, secrets)
Audit token usage and estimate costs per MCP server
Check health, latency, and reliability of MCP servers
Generate a complete security, cost, and health report for all MCP servers
Start observing AI agent tool calls to learn usage patterns for policy generation
Stop the current observation window and finalize collected data
Generate a minimal-privilege YAML policy based on observed tool call patterns
Compare observed behavior against current policy and suggest additions/removals
Get current behavior observation status and summary
Scan tool call arguments for prompt injection payloads targeting downstream AI agents
Get prompt injection detection statistics
Generate threat forecast for all configured MCP servers with 30/90/365-day projections
Detailed threat forecast for a specific server with risk factors and preemptive hardening recommendations
Get suggested preemptive policy changes based on threat forecasts
Full supply chain integrity verification with signed attestation for MCP server packages
Current trust graph state for all MCP server packages
Export Software Bill of Materials for MCP server packages
Compare current MCP server behavior against a known-good baseline to detect anomalies
Capture current server state as a known-good behavioral baseline
Revert to a previous known-good configuration snapshot
List all detected drift events
Generate auditor-ready compliance evidence bundle for a framework
Identify missing compliance controls and recommend policies
Get current compliance posture score across all frameworks
List all supported compliance frameworks
Run a full autonomous red team assessment with attack generation and policy testing
Configure periodic autonomous red team assessments
Get latest red team assessment results and recommendations
A/B test a proposed policy change against historical attack corpus
Submit an anonymized threat signature to the cross-deployment intelligence mesh
Get mesh connectivity, contribution stats, and known threat feed
Deploy an ephemeral fake MCP server to detect adversarial probing
Get attack patterns observed by all active honeypots
Tear down a specific honeypot and retrieve captured data
List all active and destroyed honeypots with summary
Initiate an automated trust handshake with another AI agent behind Guardian
View all active trust relationships and session details
Immediately terminate a trust relationship
List all registered agents in the trust registry
Get overall status of all agentic AI features including metrics, scheduler, and task queue
Compute an A+-F trust score for an MCP server across 8 security dimensions (like SSL Labs for MCP)
Scan MCP tool responses for PII, credentials, sensitive paths, and data exfiltration
Run MCP server certification (Bronze/Silver/Gold/Platinum)
List MCP servers in the local certification registry with level and expiry
Verify a server certification attestation (JWS) and level
Declare session intent and allowed tools for intent-binding enforcement
Run MCP protocol fuzzer — test defenses against malformed JSON-RPC, overflow, injection
Check SLA compliance — p50/p95 latency, error rate, circuit breaker state per tool
Execute an incident response playbook (prompt_injection, credential_leak, shell_injection)
Get agent reputation score — Trusted/Standard/Suspicious/Blocked tier with bypass rate and entropy
Analyze MCP server config and get A-F hardening grade with one-click recommendations
Detect agent-to-agent collusion patterns (recon-then-exploit, coordinated exfil, token sharing)
Explain MCP Guardian policy YAML in plain English for compliance stakeholders
Convert a natural-language security goal into a draft YAML policy rule (requires approval before enforce)
Query decentralized MCP server reputation (8-dimension consensus score)
Compute cyber insurance ALE (Annualized Loss Expectancy) for an MCP server
Thompson Sampling — run Bayesian bandit trust sampling for an agent (Beta posterior, exploration/exploitation)
Contextual Bandit (LinUCB) — select optimal policy action (enforce/relax/skip) based on context
SARSA — adaptively tune rate limit, latency limit, or confidence threshold via reinforcement learning
REINFORCE — use policy gradient to select optimal fuzzer mutation strategy
Overview
What is MCP Guardian?
MCP Guardian is a runtime security, cost governance, and health monitoring proxy for MCP infrastructure. It uses a three‑layer detection engine (regex → schema → LLM), a YAML policy engine with hot‑reload, and provides enterprise observability.
How to use MCP Guardian?
Deploy MCP Guardian as a proxy between MCP clients and servers. Define security and cost policies using YAML files that support hot‑reload. Monitor security events, token costs, and server health through the built‑in web dashboard and Prometheus metrics.
Key features of MCP Guardian
- Three‑layer detection engine (regex, schema, LLM)
- YAML policy engine with hot‑reload
- 50+ secret patterns and Shannon entropy detection
- AST command validation and JWT algorithm pinning
- Default‑deny fail‑closed security model
- Token cost tracking via tiktoken
- Health monitoring with circuit breakers
- Prometheus metrics and web dashboard
Use cases of M
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