# Comprehensive Audit Report: Amicus MCP Server
**Date:** February 2, 2026
**Auditor:** Node-AUD1 (Automated)
**Target:** Amicus MCP Server v0.3.0
## 1. Code Quality & Architecture Analysis
**Rating: 9.5/10**
* **Architecture:** The project follows a clean, modular Python package structure (`src/amicus`). Concerns are well-separated:
* `core.py`: Low-level I/O, locking, atomic writes.
* `config.py`: Cascading configuration (JSON/TOML).
* `server.py`: MCP Tool definitions and API surface.
* `monitor.py`: Background thread for heartbeat/zombie detection.
* `security.py`: Sensitive data scanning and sanitization.
* **Patterns:** Uses functional patterns for MCP tools and Object-Oriented patterns for stateful components (`ConfigManager`, `HeartbeatMonitor`).
* **Best Practices:** Extensive type hinting, `pathlib` usage, context managers for resource handling.
* **Maintainability:** High. Code is readable and testable.
* **New Feature:** `model_info` is seamlessly integrated into `update_state` and `read_state`.
## 2. Security Analysis
**Rating: 9/10**
* **Command Injection:** **SECURED.** The `execute_safe_command` tool uses `shlex.split()` and `subprocess.run(shell=False)`, preventing shell injection vulnerabilities. Whitelisting is enforced on the executable name.
* **Path Traversal:** **SECURED.** `PathValidator` enforces all file operations to remain within the project root using `path.resolve().is_relative_to()`.
* **Sensitive Data:** **SECURED.** `SensitiveDataScanner` automatically scans `update_state` inputs for API keys and secrets (AWS, GitHub, Slack, etc.) using regex patterns.
* **Locking:** `portalocker` prevents race conditions on state files.
## 3. Testing Strategy & Implementation
**Rating: 9/10**
* **Coverage:** 32 passing tests covering Unit, Concurrency, Security, and Workflows, including new tests for `model_info`.
* **Key Tests:**
* `test_concurrency.py`: Validates thread safety and locking under load.
* `test_security.py`: Targets scanner logic and command execution safety.
* `test_monitor.py`: Verifies zombie agent detection and lock recovery.
* `test_unit.py`: Covers core logic and state updates, including `model_info` persistence and display.
## 4. Multi-Agent Testing Framework
**Rating: 10/10**
* **Coordination:** The "Task Lifecycle" tools (`add_task`, `claim_task`, `complete_task`) provide a robust state machine for agent collaboration.
* **Communication:** `broadcast_message` allows for asynchronous signaling.
* **Protocols:** The "Synapse Protocol" (documented in `prompts/SYNAPSE_PROTOCOL.md`) defines clear behavioral standards (Identity announcement, Model Reporting, Collision avoidance).
## 5. Reliability & Fault Tolerance
**Rating: 9/10**
* **Data Integrity:** Atomic writes (`os.replace`) ensure `state.json` consistency.
* **Self-Healing:** `HeartbeatMonitor` releases locks from crashed agents after a timeout (default 60s).
* **Locking:** Cross-platform file locking (`portalocker`) manages contention.
## 6. Performance Analysis
**Rating: 8/10**
* **Efficiency:** File-based JSON state is efficient for typical teams (1-10 agents).
* **Scalability:** Performance is I/O bound. `messages` list is capped at 50 entries to prevent unbounded growth.
* **Optimization:** Atomic writes prevent partial read errors.
## 7. API Design & Developer Experience
**Rating: 10/10**
* **CLI:** `amicus-mcp --init` provides a "magic" setup experience.
* **Configuration:** `ConfigManager` supports `config.json` and `config.toml` with cascading overrides (Workspace > Global > Default).
* **Tooling:** Semantic tool names and clear docstrings.
* **New Feature:** `model_info` parameter enhances agent self-reporting capabilities.
## 8. Standards Compliance
**Rating: 10/10**
* **Protocol:** Fully compliant with MCP.
* **Packaging:** PEP 517 compliant, standard `pyproject.toml`.
* **Versioning:** Semantic Versioning.
## 9. Documentation Quality
**Rating: 9.5/10**
* **Completeness:** `README.md`, `INSTALL.md`, `SECURITY.md` are thorough.
* **Protocol:** `SYNAPSE_PROTOCOL.md` is a unique and valuable addition for agentic workflows, updated with Model Reporting and Node ID directives.
## 10. Deployment & Operations
**Rating: 8.5/10**
* **Build:** `scripts/build_binary.py` automates executable creation.
* **Installation:** Supports `pip install` and `uv tool install`.
* **Monitoring:** `HeartbeatMonitor` provides essential operational visibility.
---
## Summary Scorecard
| Dimension | Score | Status | Priority |
|---------------------------|-------|--------|----------|
| Code Quality & Architecture | 9.5/10 | 🟢 | Low |
| Security | 9/10 | 🟢 | Low |
| Testing | 9/10 | 🟢 | Low |
| Multi-Agent Patterns | 9.5/10 | 🟢 | Low |
| Reliability | 9/10 | 🟢 | Low |
| Performance | 8/10 | 🟢 | Low |
| API Design & DX | 10/10 | 🟢 | Low |
| Standards Compliance | 10/10 | 🟢 | Low |
| Documentation | 9.5/10 | 🟢 | Low |
| Operational Readiness | 8.5/10 | 🟢 | Low |
**Overall Score:** **9.2/10**
## Conclusion
The Amicus MCP Server is a **highly successful and mature project (Overall Score: 9.2/10)**. It effectively addresses the complex challenges of multi-agent coordination with robust architectural patterns, strong reliability mechanisms, and an excellent developer experience. The critical command injection vulnerability in `execute_safe_command` has been successfully patched and verified. The new `model_info` feature enhances agent self-reporting, laying the groundwork for intelligent task assignment.
**Action:** The project is approved for deployment.
