Open-source AI governance tools. Each works standalone as an MCP server or CLI — together they form a governance mesh.
Built by Maiife — Enterprise AI Control Plane.
Package | Description | Published |
| Shared types and formatters used by all toolkit packages | ✅ |
| AI environment scanner — discover IDE extensions, MCP servers, agent frameworks, API keys, local models | ✅ |
| MCP server security scanner — score configs on permissions, data sensitivity, blast radius | ✅ |
| "What's Your AI Stack?" — shareable profile card of your AI toolkit | ✅ |
| MCP health check & auto-fixer — brew doctor for your MCP setup | ✅ |
| Personal AI usage diary — track how you use AI, get reflective insights | ✅ |
| Cross-tool AI memory sync — one context.json, synced to Cursor, Claude, MCP | ✅ |
| Prompt quality analyzer — score, improve, and lint your AI prompts | ✅ |
| LLM-as-judge evaluation engine — score agent outputs with structured rubrics | ✅ |
| Agent workflow tracer — trace, view, and analyze execution spans | ✅ |
| AI spend calculator + optimizer — unified cost report across vendors | ✅ |
| Gamified prompt coach — levels, streaks, badges for prompt improvement | ✅ |
| Personal AI subscription auditor — find waste in your AI spending | ✅ |
| Personal model recommender — find the best model for YOUR tasks | ✅ |
| AI week in review — Spotify Wrapped for your AI usage, weekly | ✅ |
Related MCP server: Mund
# Scan your AI environment
npx @maiife-ai-pub/probe scan
# Audit your MCP server security
npx @maiife-ai-pub/mcp-audit scan
# Generate your AI Stack profile card
npx @maiife-ai-pub/ai-stack --format svg --output my-stack.svg
# Health check your MCP servers
npx @maiife-ai-pub/mcp-doctor check
# Log an AI interaction
npx @maiife-ai-pub/ai-journal log --tool claude --task coding --duration 30
# Sync AI context across tools
npx @maiife-ai-pub/context-sync push
# Score your AI prompts
npx @maiife-ai-pub/prompt-score analyze --input prompt.txt
# Evaluate agent outputs with rubrics
npx @maiife-ai-pub/eval score --rubric code-review --input review.txt
# Trace agent workflows
npx @maiife-ai-pub/trace list --days 7
# Track AI spend across vendors
npx @maiife-ai-pub/cost report --period last-30d
# Gamified prompt coaching
npx @maiife-ai-pub/prompt-craft score --input prompt.txt
# Audit AI subscriptions for waste
npx @maiife-ai-pub/sub-audit
# Find the best model for your tasks
npx @maiife-ai-pub/model-match recommend --task coding
# Generate your AI week in review
npx @maiife-ai-pub/weekly-ai-report generateEvery tool with an MCP server can be added to Claude Desktop, Cursor, or any MCP-compatible client. Each exposes tools over stdio transport.
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"maiife-probe": {
"command": "npx",
"args": ["@maiife-ai-pub/probe", "mcp"]
},
"maiife-mcp-audit": {
"command": "npx",
"args": ["@maiife-ai-pub/mcp-audit", "mcp"]
},
"maiife-mcp-doctor": {
"command": "npx",
"args": ["@maiife-ai-pub/mcp-doctor", "mcp"]
},
"maiife-eval": {
"command": "npx",
"args": ["@maiife-ai-pub/eval", "mcp"]
},
"maiife-prompt-score": {
"command": "npx",
"args": ["@maiife-ai-pub/prompt-score", "mcp"]
},
"maiife-prompt-craft": {
"command": "npx",
"args": ["@maiife-ai-pub/prompt-craft", "mcp"]
},
"maiife-cost": {
"command": "npx",
"args": ["@maiife-ai-pub/cost", "mcp"]
},
"maiife-model-match": {
"command": "npx",
"args": ["@maiife-ai-pub/model-match", "mcp"]
},
"maiife-ai-stack": {
"command": "npx",
"args": ["@maiife-ai-pub/ai-stack", "mcp"]
},
"maiife-context-sync": {
"command": "npx",
"args": ["@maiife-ai-pub/context-sync", "mcp"]
},
"maiife-sub-audit": {
"command": "npx",
"args": ["@maiife-ai-pub/sub-audit", "mcp"]
},
"maiife-trace": {
"command": "npx",
"args": ["@maiife-ai-pub/trace", "mcp"]
}
}
}Pick the tools you need — you don't have to add all of them. Once configured, Claude can call tools like probe_scan, mcp_audit_scan, eval_score, prompt_score_analyze, cost_report, and more directly from chat.
Each MCP server is published as a Docker image on GHCR. Useful for sandboxed environments or Glama integration.
# Pull and run any server
docker run -i ghcr.io/sakthivelchan89/maiife-probe
docker run -i ghcr.io/sakthivelchan89/maiife-mcp-audit
docker run -i ghcr.io/sakthivelchan89/maiife-eval
# ... same pattern for all 12 packages
# Or build from source
docker build -f packages/probe/Dockerfile -t maiife-probe .
docker run -i maiife-probeDocker images use stdio transport (no ports exposed). Pass -i for interactive stdin/stdout communication with MCP clients.
This toolkit aims to meet MCP Tier 1 quality standards (per MCP SEP-1730). Here's what that means:
Dimension | Status |
License | Apache 2.0 — canonical SPDX, OSI-approved |
Transport | stdio only (no network exposure) |
CI/CD | GitHub Actions: lint + type-check + tests on Node 18, 20, 22 |
Test coverage | vitest + |
MCP conformance | Protocol compliance suite for all 12 MCP servers |
Security scanning | CodeQL (weekly + on PR), Dependabot (weekly) |
Vulnerability response | 48h CRITICAL / 7d HIGH (see DEPENDENCY_POLICY.md) |
Issue triage SLA | 2 business days (see CONTRIBUTING.md) |
Versioning | SemVer, lockstep across packages, CHANGELOG.md |
Supply chain |
|
Container security | Non-root user, no exposed ports, GHCR-signed |
Every MCP server in this repo is validated against the MCP protocol contract:
✅ stdio transport invariant (no non-JSON output on stdout)
✅ initialize handshake responds with valid serverInfo + capabilities
✅ tools/list returns the documented tool set
✅ All tool inputSchema fields are valid JSON Schema objects
✅ Unknown tool calls return structured errors (not crashes)
Run the suite:
pnpm test:conformance # all packages
cd packages/probe && pnpm test:conformance # single packageSECURITY.md — vulnerability reporting policy
CONTRIBUTING.md — issue/PR guidelines and SLAs
CHANGELOG.md — version history (Keep a Changelog format)
DEPENDENCY_POLICY.md — dependency selection criteria & patch SLAs
Contributions are welcome! Read CONTRIBUTING.md for the full guide. Quick version:
Fork the repo on GitHub
Create a branch: git checkout -b feat/my-improvement
Make your changes — each package lives in packages/<name>/
Run tests: pnpm test && pnpm test:conformance
Open a PR against main — describe what you changed and why
Please follow the existing code style (TypeScript, ESM, Vitest for tests). Each package should work as both a CLI and an MCP server where applicable.
Apache 2.0 — free to use, modify, and distribute.
Part of the Maiife platform — Enterprise AI Control Plane.
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If you are the server author, to access and configure the admin panel.
Security scanner for MCP servers. Detect vulnerabilities, prompt injection, and tool poisoning.
Zero-config MCP security scanner for AI-generated apps. 25K+ vulnerability patterns.
Security tools for AI agents: scan MCP servers, validate HDP delegation chains, audit releases.
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