general MCP Server
AI Constraint Engine — enforces CLAUDE.md, .cursorrules, AGENTS.md rules as laws. 51 MCP tools, 991 tests. Official MCP Registry. npx speclock protect
Discovered via unknown and last synced 3mo ago.
1. Install the package
npx -y speclock serve --project .
2. Add to claude_desktop_config.json
{
"mcpServers": {
"speclock": {
"command": "npx",
"args": [
"speclock"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
Yes
100%
Record architectural decision
Admin
100%
Yes
Start session + full briefing
Add pinned note
Audit staged files pre-commit
Yes
Add constraint + auto-guard files
View override audit trail
Full event log (filterable)
Verify HMAC chain integrity
Branch, commit, diff summary
Evaluate policy rules
Compile natural language into structured constraints
Sync constraints to Cursor, Claude, Copilot, Windsurf, Gemini, Aider, AGENTS.md
—
100%
100%
Yes
Set project goal
Override with reason (audit logged)
Recent tracked changes
What it does
List all typed constraints
Grade locks and suggest stronger versions
`.cursorrules`
Record deploy config
AI-powered lock suggestions
Opt-in usage analytics
No
Read
Initialize SpecLock in project
End session + record summary
Apply constraint template
Add typed constraint (numerical/range/state/temporal)
0-100 project integrity metric — how much AI deviated from intent
`false`
100%
Soft-delete a lock
Analyze git diff against locks
Git tag for rollback
SOC 2 / HIPAA / CSV reports
—
100%
100%
Full context pack (the key tool)
Switch advisory/hard mode
Log a change with files
Violation stats + most tested locks
ALLOW/WARN/BLOCK verdict for proposed changes
Lock Coverage Audit — find unprotected code areas
Tests
100%
Health score + multi-agent timeline
Map locks to actual code files
List available sessions for replay
—
100%
CRUD for policy rules
Build/refresh code dependency graph
List all available sync formats
Update typed lock thresholds
Parse unified diff into structured changes (debug/inspect)
Default
100%
100%
Price
Calculate blast radius of file changes
Replay a session's activity — what AI tried and what was caught
—
100%
`false`
100%
100%
100%
40
100%
Scan for constraint violations
Yes
Semantic conflict check against all locks
Diff-native review with signal scoring + unified verdict
Check proposed values against typed constraints
Detecting exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files using TruffleHog, git-secrets, and AWS-native detection mechanisms to prevent credential theft and unauthorized account access.
Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.
Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.
Implementing AWS Security Hub to aggregate security findings across AWS accounts, enable compliance standards like CIS AWS Foundations and PCI DSS, configure automated remediation with EventBridge and Lambda, and create custom security insights for organizational risk management.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
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