Executive Summary: ADR-Ledger / SecureLLM-MCP Integration
Date: 2026-02-05 Author: Claude Sonnet 4.5
Overview
This analysis identifies integration opportunities between adr-ledger and securellm-mcp to build a unified architectural governance system. The document details 5 priority integrations, an implementation roadmap, and estimated impact metrics.
Complementary documents: - INTEGRATION_ANALYSIS.md -- 8 detailed integrations, architecture, 6-phase roadmap, code examples - PROJECT_IMPROVEMENTS.md -- 10 independent improvements (5 per project), implementations with code
Priority Integrations
1. ADR Management via MCP -- Priority: Critical
MCP tools in securellm-mcp to manage ADRs: adr_query (semantic search), adr_create (validated creation), adr_validate (schema + compliance), adr_sync (bidirectional sync), adr_research_backed_proposal (validation by research_agent).
Estimated Effort: 2 weeks
2. Architectural Decision Detection Engine -- Priority: Critical
System that automatically detects architectural changes via code analysis (git hooks), conversation analysis, and governance enforcement.
Git commit -> Code analysis -> Detect impact -> Suggest ADR ->
Research validation -> Generate proposal -> Governance check -> Notify user
Estimated Effort: 3 weeks
3. Semantic Search for ADRs -- Priority: High
Integrate semantic cache for searching over ADRs. Embeddings per ADR (3 chunks: context, decision, alternatives), FAISS vector store, similarity threshold 0.75.
await adrQuery({
query: "Why did we choose Redis?",
semantic: true,
top_k: 5
});
// Returns: ADR-0042 (relevance: 0.94), ADR-0012 (0.67), ADR-0021 (0.58)
Estimated Effort: 2 weeks
4. Research-Backed ADR Creation -- Priority: High
Use research_agent to create ADRs with multi-source validation: deep research (7+ sources), credibility scoring (minimum 0.7), alternative analysis, risk assessment, ADR generation with references.
Estimated Effort: 3 weeks
5. Compliance Automation via ADRs -- Priority: Medium
Use accepted ADRs as enforceable policies via pre-commit hooks.
# ADR-0001: Use NixOS
enforcement:
- type: "must_not_use"
pattern: "docker-compose\\.yml"
severity: "blocking"
Estimated Effort: 4 weeks
Roadmap
| Phase | Objective | Estimated Duration | Estimated Hours |
|---|---|---|---|
| Phase 1 | Basic MCP integration (query, create, validate, sync) | 2 weeks | ~80h |
| Phase 2 | Semantic search (embeddings, FAISS, cache) | 2 weeks | ~80h |
| Phase 3 | Auto-generation (detection engine, code analysis, git hooks) | 3 weeks | ~120h |
| Phase 4 | Research integration (multi-source validation, quality checks) | 3 weeks | ~120h |
| Phase 5 | Compliance engine (enforcement, pre-commit, dashboard) | 4 weeks | ~160h |
Total Estimated: 14 weeks (~560 hours)
Expected Impact (Estimates)
Quantitative
| Metric | Before (Estimated) | After (Estimated) | Estimated Improvement |
|---|---|---|---|
| Time to create ADR | 60-120 min | 10-20 min | ~70-83% |
| ADRs created/month | 2-3 | 8-12 | ~3-4x |
| Time to find decision | 15-30 min | <1 min | ~95% |
| Undocumented decisions | ~70% | ~10% | ~85% |
| Governance violations | 3-5/month | 0-1/month | ~80% |
Note: these values are projections based on experience with similar systems, not measurements of the current environment.
Qualitative
- Automatic Documentation -- ADRs generated from significant commits, context extracted from code
- Multi-source Validation -- Research agent validates with real sources, credibility scoring, verifiable references
- Natural Search -- Semantic similarity surpasses keyword matching, embedding cache reduces costs
- Enforced Governance -- Blocks commits that violate ADRs, programmatic enforcement, audit trail via Git
- Data Sovereignty -- ADRs as the source of truth, Git history = decision history, zero SaaS dependency
Next Steps
This Week
- Review documents (INTEGRATION_ANALYSIS.md, PROJECT_IMPROVEMENTS.md)
- Strategic decisions: prioritize integrations vs independent improvements, sequential vs parallel roadmap, available resources
- Quick wins: Native MCP Server for adr-ledger (2 weeks), Semantic cache v2 in securellm-mcp (2 weeks)
Next Month
- Implement Phase 1 (core tools: query, create, validate, sync)
- Plan Phase 2 (semantic search: vector store, embeddings, chunking)
Next Quarter
- Complete Phases 1-3
- Production rollout (staging, user acceptance testing, iteration)
Conclusion
The integration between ADR-Ledger and SecureLLM-MCP allows advancing from passive documentation to active architectural governance: automatic documentation via code analysis, validation with verified sources, semantic search, and programmatic decision enforcement. The implementation can be done incrementally over 14 weeks.
Author: Claude Sonnet 4.5 Date: 2026-02-05 Status: Proposal under evaluation