MCP Permission Auditor — scan, enumerate, and risk-score all locally configured MCP servers
Project description
mcp-audit
You're giving AI direct access to your computer. Do you actually know what you've installed?
mcp-audit gives you x-ray vision into every MCP server configured on your system: what it can do, how risky it is, whether its descriptions are hiding adversarial instructions, and whether it's changed since you last looked. It is local-first, needs no API key by default, and makes networked LLM analysis opt-in.
PyPI package: mcp-permission-audit. Installed command: mcp-audit.
Features
- Capability inventory — catalogs server tools, prompts, and resources; tool, prompt, and resource capabilities are classified across six permission categories:
file_read,file_write,network,shell_execution,destructive,exfiltration - Config-only inference —
scan --skip-connectinfers conservative risks from declared commands, transports, credential key names, package runners, and remote URLs - Config health diagnostics —
discoverandscanflag duplicate server names, conflicting command or URL definitions, missing stdio commands, missing local command paths, project/global scope conflicts, package-runner launches, deprecated SSE transports, shell-wrapper launches, remote endpoints, and credential-heavy configs before users pin or connect; JSON reports include additiveconfig_health_findings - Risk scoring — composite 0–10 per server as a weighted sum of tool permission categories, with a five-dimension breakdown (file access, network, shell, destructive, exfiltration); prompt/resource findings also produce an additive
non_tool_risksignal without changingrisk_score.composite - Stable finding metadata — permission and prompt-injection findings include stable rule IDs, severity, evidence, and suggested remediation so reports are easier to triage
- Local policy gates —
scan --policy policy.yamlevaluates reports against local YAML rules and exits nonzero for CI enforcement - Report redaction — terminal, JSON, and SARIF report paths share a redaction layer for likely credential values
- Prompt injection detection —
scan --inject-checkscans tool, prompt, and resource text for instruction-override patterns, hidden directives, fake role turns, and adversarial phrasing; pattern-based, no LLM required - SSRF detection —
scan --ssrf-checkflags tools and resources whose interface lets a caller steer a server-side request target (URL/host params paired with fetch verbs, caller-templated remote resource hosts); static and schema-derived, never issues a request or reads a credential value - Lethal trifecta detection —
scan --trifecta-checkdetects the canonical agent-exfiltration attack surface: per-server (HIGH,MCP013) when a single server covers all three legs (file_read + untrusted-content ingestion + exfiltration), and fleet-level advisory (MEDIUM,MCP014) when the trifecta assembles only across servers; re-uses inferred permissions, never issues requests or reads credentials - Tool-name shadowing detection —
scan --shadow-checkflags cross-server tool-name collisions that could trick an AI agent into routing a call to the wrong server: exact matches (HIGH,MCP015), case/separator-normalised collisions (MEDIUM,MCP016), and homoglyph spoofing via non-ASCII confusable codepoints (HIGH,MCP017); offline, deterministic, no new dependencies - Schema drift tracking —
mcp-audit pinconnects to servers and snapshots current tool schemas; subsequentscan --pin-checkflags added, removed, and changed tools with plain-language summaries, changed-field hints, suggested actions, and a dry-run refresh workflow for reviewed upgrades.pin --refresh <server>additionally surfaces capability-escalation (MCP018/MCP019) and launch-config/provenance (MCP020–MCP023) deltas in the same preview — unconditionally, so a rug-pull or launch swap can't slip through a baseline refresh - Capability-escalation ("rug pull") detection —
scan --escalation-checkcompares each tool against its pin baseline and flags security-significant escalations over time: a tool that gained a dangerous capability (MCP018— HIGH for exfiltration/shell/destructive, MEDIUM for file_write/network) or whose description gained prompt-injection patterns (MCP019, HIGH); pure delta vs the approved baseline, so near-zero false positives. Seedocs/ESCALATION-DETECTION.md - Provenance / launch-config drift detection —
scan --provenance-checkcompares a server's launch configuration against its pin baseline to catch supply-chain changes the schema check can't see: command/transport swap (MCP020, HIGH), argument/version drift with dangerous-flag escalation (MCP021, MED/HIGH), HTTP endpoint change (MCP022, HIGH), and credential key-name set changes (MCP023, MEDIUM — key names only, never values). Seedocs/PROVENANCE-DETECTION.md - Launch-artifact integrity detection —
scan --integrity-checkhashes the on-disk artifact a server launches (the resolved command binary + local script args) and flags drift vs the pin baseline (MCP024— HIGH when the SHA-256 changed, MEDIUM when the file is gone). The command string can stay byte-identical while the file it runs is swapped underneath you; this catches that. Offline and deterministic — only local bytes are hashed, nothing is fetched. Package-runner (npx/uvx) launches hash the runner, not the remote package (see registry verification below). Seedocs/INTEGRITY-DETECTION.md - Registry package verification —
scan --verify-artifacts(opt-in, network) covers the package-runner case the on-disk check can't: it compares the registry-published hash (npmdist.integrity, PyPI sha256) for the exact pinnedpackage@versionagainst the hash captured at pin time (MCP025— HIGH on a changed published hash, a republish/tampering signal; MEDIUM when unverifiable). Network is contacted only under--verify-artifacts, on bothpin(to capture) andscan(to compare). Covers npm + PyPI. Seedocs/PACKAGE-VERIFICATION.md - Multi-client support — reads configs from Claude Desktop, Claude Code, Cursor, VSCode, and Windsurf — plus custom paths via
--config; use--config-onlyfor isolated scans of one config file - Structured output — Rich terminal report plus JSON and SARIF 2.1.0 export for ingestion by GitHub Advanced Security and SARIF-aware SAST pipelines, and a self-contained shareable HTML report via
scan --html report.html(inline CSS, no JavaScript, redacted and fully HTML-escaped) - Drop-in CI distribution — a composite GitHub Action (
uses: saagpatel/MCPAudit@v1.11.0) runs the scan, writes SARIF, and uploads it to code scanning in one step (config-only by default; optional policy gate exits2); apre-commithook (id: mcp-audit) audits repo-local.mcp.json/.vscode/mcp.jsonon commit. Seedocs/ADOPTION-GUIDE.md - Documented output contract — JSON, SARIF rule IDs, and policy exit codes are documented in
docs/OUTPUT-CONTRACT.md - Watch mode —
mcp-audit watchre-scans on config file changes viawatchfiles(optional extra: install withmcp-permission-audit[watch])
Quick Start
Prerequisites
- Python 3.11+
uv(recommended) orpip
Installation
uvx --from mcp-permission-audit mcp-audit discover
# or install permanently:
uv tool install mcp-permission-audit
# with watch mode support:
uv tool install 'mcp-permission-audit[watch]'
Usage
mcp-audit --version
# Discover configured MCP servers without connecting to them
mcp-audit discover
# Scan all configured MCP servers
mcp-audit scan
# Config-only scan that does not spawn or connect to servers
mcp-audit scan --skip-connect
# Filter to specific clients (comma-separated)
mcp-audit scan --clients claude_desktop,cursor
# Scan only one explicit MCP config file
mcp-audit scan --config ./mcp.json --config-only
# Check tools, prompts, and resources for prompt-injection patterns
mcp-audit scan --inject-check
# Flag SSRF-prone tools/resources (caller-controlled server-side fetch targets)
mcp-audit scan --ssrf-check
# Suppress SSRF findings whose fixed target host is trusted (caller-controlled targets are never suppressed)
mcp-audit scan --ssrf-check --ssrf-allowlist api.github.com,internal.svc
# Detect lethal-trifecta / toxic-flow attack surface (per-server and fleet-level)
mcp-audit scan --trifecta-check
# Detect cross-server tool-name shadowing (exact, normalised, homoglyph collisions)
mcp-audit scan --shadow-check
# Pin current tool schemas, then detect drift on later scans.
# Pinning connects to servers so it can capture real tool schemas.
mcp-audit pin
mcp-audit pin --status
mcp-audit pin --status --json
mcp-audit pin --stale
mcp-audit pin --stale --json
mcp-audit scan --pin-check
# Review expected drift for one server before refreshing its baseline.
mcp-audit pin --refresh github
mcp-audit pin --refresh github --json
mcp-audit pin --refresh github --apply
# Detect capability escalation ("rug pull") vs the pin baseline (implies a pin comparison).
# A tool that gained a dangerous capability, or a description that gained injection patterns.
mcp-audit scan --escalation-check
# Detect launch-config / provenance drift vs the pin baseline (command, args, URL, credential keys).
mcp-audit scan --provenance-check
# Detect on-disk launch-artifact (binary/script) hash drift vs the pin baseline.
mcp-audit scan --integrity-check
# Verify npm/PyPI package@version registry hashes vs the pin baseline (opt-in, network).
mcp-audit pin --verify-artifacts # capture registry hashes into the baseline
mcp-audit scan --verify-artifacts # compare on later scans
# Export JSON or SARIF 2.1.0, or a single-file shareable HTML report
mcp-audit scan --json audit.json --sarif audit.sarif
mcp-audit scan --html audit.html
# Fail CI on local policy violations
mcp-audit scan --policy policy.yaml
# Optional LLM-assisted classification (requires ANTHROPIC_API_KEY)
mcp-audit scan --llm-analysis
# Watch mode — re-scan on config change; use --skip-connect for config-only watching
mcp-audit watch
Tech Stack
| Layer | Technology |
|---|---|
| Language | Python 3.11+ |
| CLI | Click 8 |
| Output | Rich |
| MCP protocol | mcp SDK 1.27+ |
| Validation | Pydantic v2 |
| Config parsing | PyYAML + json5 |
| Watch mode | watchfiles (optional extra) |
| Optional LLM | Anthropic SDK |
Architecture
The scanner enumerates MCP client config files, connects to each configured server, and calls tools/list, prompts/list, and resources/list over the MCP protocol when those capabilities are available. Stdio servers are started as subprocesses via anyio; HTTP/SSE servers are contacted at their configured URL. Returned tool schemas, prompt arguments, and resource URIs flow into the permission classifier (schema walker + regex ruleset over six permission categories) and the optional injection detector (pattern ruleset for instruction-override, role-switch, and hidden-directive phrasing). The risk scorer composes a per-category weighted sum clamped to 0–10 from tool findings, then separately reports additive non_tool_risk for prompt and resource capability or injection findings. non_tool_risk is for triage and output consumers; it does not change risk_score.composite. Reports render via Rich; JSON and SARIF 2.1.0 export are first-class. The pin store serializes SHA256 schema hashes plus reviewable tool snapshots to ~/.mcp-audit-pins.yaml for actionable drift detection on subsequent --pin-check scans. Use mcp-audit pin --refresh <server> to preview expected drift for one reviewed server — including capability-escalation and launch-config/provenance deltas vs the baseline — then rerun with --apply to replace that server's pins. Use mcp-audit pin --stale to review pinned servers that are no longer present in discovered MCP configs before clearing them explicitly with mcp-audit pin --clear <server>.
Local Policy Gates
Policies are local YAML files evaluated after a scan. A failing policy exits with code 2 after terminal, JSON, or SARIF output is written.
fail_on:
severity: high
injection: medium
capabilities: medium
config_health: medium
drift: true
require:
pins:
servers:
- github
deny:
permissions:
- shell_execution
max_risk: 7
allow_servers:
- github
servers:
github:
max_risk: 5
deny:
permissions:
- shell_execution
See docs/ADOPTION-GUIDE.md for local review, team CI, and GitHub code
scanning setup paths. See docs/1.1-ADOPTION.md for non_tool_risk parsing
examples and policy selection notes, and examples/consumers/ for runnable
JSON consumer examples. See examples/policies/ for starter policies. See
docs/GOLDEN-ROLLOUT.md for the recommended config-only to policy-gated
rollout path. See docs/STABLE-READINESS.md for the stable-release bar. See
docs/PIN-MAINTENANCE.md for reviewed pin refresh and stale server cleanup
workflows. See docs/PROMPT-RESOURCE-SCORING.md and
docs/SCORING-MIGRATION.md for the current prompt/resource scoring boundary
and migration path. See docs/COMPOSITE-SCORING-PROPOSAL.md for the future
combined-score proposal. See examples/ci/pin-stale-review.yml and
examples/maintenance/stale-pin-review.sh for routine stale pin review flows.
See docs/FEEDBACK-TO-FIXTURES.md for turning false positives, missing
detections, output issues, and pin lifecycle feedback into safe regression
fixtures. See docs/FIELD-REPORTS.md for the redacted field-report evidence
path, public field-report issue template, and consumer-contract coverage. See
docs/SOLO-EVIDENCE.md for solo multi-environment evidence that can reduce
release risk without replacing external reports. See
docs/ROADMAP-NEXT.md for the current post-1.5.5 roadmap. See
docs/1.5-EVIDENCE-INTAKE.md for the current
evidence-led 1.5 planning track. See docs/BETA-READINESS-EVIDENCE.md for
the beta-readiness evidence and release decision. External beta-evidence reports
are tracked in https://github.com/saagpatel/MCPAudit/milestone/4. See
docs/EXTERNAL-FIELD-REPORT-REQUEST.md for the copy-paste contributor request,
and docs/EXTERNAL-OUTREACH-MESSAGES.md for direct outreach messages.
License
MIT
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