Agent Owl MCP Server

Agent Owl MCP Server

Agent Owl provides cryptographic file integrity monitoring, OWL/RDF semantic knowledge graphing with SPARQL queries, and EU AI Act compliance tracking for Claude Code via 15 MCP tools covering file verification, compliance management, and project administration.

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README

Agent Owl

CI License: MIT Python 3.11+

Agent Owl — Cryptographic file integrity monitoring with OWL/RDF ontology and EU AI Act compliance for Claude Code.

Every file Claude touches gets a cryptographic fingerprint. Every change becomes an immutable RDF triple. Every AI system gets EU regulation tracking. Zero configuration required.

Legal notice — Agent Owl helps you document compliance efforts (audit trails, EU AI Act artifacts, retention checks). It does not guarantee compliance with the EU AI Act or any other regulation, and nothing it produces constitutes legal advice. Assess your obligations with a qualified professional.


Features

File Integrity

  • Cryptographic hashing: SHA-256, SHA-512, BLAKE2b (single or dual-hash mode)
  • Real-time monitoring: Watchdog-based file system events
  • Integrity verification: Compare stored hashes against current files
  • Full audit trail: Every version, every change, timestamped and immutable

Semantic Knowledge Graph

  • OWL 2 DL ontology: Formal class hierarchy with property restrictions
  • RDF triple store: rdflib-based with thread-safe operations
  • SPARQL queries: Read-only SELECT against the full graph (TBox + ABox)
  • W3C PROV-O alignment: Standards-compliant provenance tracking
  • Turtle serialization: Human-readable, compact format

EU AI Act Compliance (Reg. 2024/1689)

  • AI system registration (Art. 3): Risk levels, lifecycle phases, compliance status
  • Risk management (Art. 9): Risk assessments with severity and likelihood
  • Log retention (Art. 12): Automated retention compliance monitoring
  • Quality management (Art. 17): Comprehensive compliance reports
  • Incident reporting (Art. 62): Incident tracking with affected systems
  • Annex IV documentation: 9 mandatory points completeness checker
  • SHACL validation: Core tier + high-risk tier constraint checking

Claude Code Integration

  • 15 MCP tools: File integrity, compliance, SPARQL, project management
  • 3 automatic hooks: SessionStart, PostWrite, PostBash (git commit) — zero configuration
  • Skill command: /owl-audit with 15 operations
  • Multi-project: Autonomous detection and tracking across all your projects
  • Plugin format: One-command installation

Architecture

agent-owl/
├── agent_owl/                 # Core Python library
│   ├── ontology.ttl            # OWL 2 DL ontology (TBox) — 709 triples
│   ├── ontology-shacl.ttl      # SHACL shapes — 194 triples
│   ├── store.py                # Thread-safe RDF graph store
│   ├── hasher.py               # Streaming hash computation
│   ├── agent.py                # Core agent (watchdog, scan, events)
│   ├── discovery.py            # Multi-project discovery + AgentCache
│   ├── compliance.py           # EU AI Act compliance engine
│   ├── validator.py            # SHACL validation
│   ├── annexe_iv.py            # Annex IV completeness checker
│   ├── report.py               # HTML/Markdown report generator
│   └── templates/              # Jinja2 report templates
├── agent_owl_mcp_server.py          # FastMCP server (15 tools)
├── hooks/                      # Claude Code hooks
│   ├── owl-session-start.py   # Auto-detect project at startup
│   ├── owl-post-write.py      # Hash files on Write/Edit
│   └── owl-compliance-check.py # Compliance summary on git commit
├── commands/
│   └── owl-audit.md           # /owl-audit skill command
└── tests/                      # 169 tests

How it works

Claude writes a file
        │
        ▼
  PostWrite hook ──────► auto-detect project (walk-up)
        │                       │
        │               auto-init if needed
        │                       │
        ▼                       ▼
  SHA-256 hash ◄──── AuditAgent instance (cached)
        │
        ▼
  RDF triple store ──► audit_store/audit.ttl
        │
        ▼
  OWL ontology ──────► SPARQL queryable

Installation

Claude Code Plugin (recommended)

claude plugin marketplace add arnwaldn/agent-owl
claude plugin install agent-owl@agent-owl

Manual Installation

git clone https://github.com/arnwaldn/agent-owl.git
cd agent-owl
bash setup.sh

Python Dependencies

pip install -e .                    # Core (rdflib, watchdog)
pip install -e ".[shacl]"          # + SHACL validation (pyshacl)
pip install -e ".[report]"         # + Report generation (jinja2)
pip install -e ".[all]"            # Everything
pip install -e ".[dev]"            # Development (pytest, ruff, mypy)

The MCP server requires FastMCP:

pip install -e ".[server]"         # MCP server (FastMCP)
pip install -e ".[all]"            # Everything including MCP server

Quick Start

After installation, Agent Owl works automatically:

  1. Start Claude Code in any project directory
  2. The SessionStart hook auto-detects and initializes Agent Owl
  3. Every file Write/Edit gets hashed and tracked
  4. Every git commit shows a compliance summary

Verify installation

/owl-audit stats

Register an AI system for EU AI Act tracking

/owl-audit register MyChatbot high_risk

Check compliance

/owl-audit status MyChatbot
/owl-audit validate MyChatbot
/owl-audit annex-iv MyChatbot

MCP Tools Reference

File Integrity (5 tools)

Tool Description
audit_verify_file Verify cryptographic integrity of a single file
audit_file_history Get full audit trail for a file
audit_full_scan Scan all watched paths, detect changes
audit_stats Store statistics (files, versions, events, triples)
audit_violations List all integrity violations

EU AI Act Compliance (6 tools)

Tool Description
compliance_register_system Register an AI system (Art. 3)
compliance_status Comprehensive compliance overview (Art. 17)
compliance_validate SHACL validation against ontology constraints
compliance_annex_iv Annex IV documentation completeness
compliance_incidents List incidents (Art. 62)
compliance_export_report Export HTML/Markdown compliance report

Query (2 tools)

Tool Description
audit_sparql Execute read-only SPARQL query
compliance_retention_check Check Art. 12 log retention compliance

Project Management (2 tools)

Tool Description
audit_init Initialize Agent Owl in a directory
audit_list_projects List all active Agent Owl projects

Hooks

Agent Owl installs 3 automatic hooks in Claude Code:

Hook Trigger Action
SessionStart Claude Code starts Auto-detect project, auto-init if needed
PostToolUse Write|Edit Any file write Hash file and record in audit store
PostToolUse Bash git commit Show compliance summary

All hooks exit 0 unconditionally — they never block Claude Code.

Manual Hook Registration

If you installed manually (not via claude plugin install), add this to ~/.claude/settings.local.json:

{
  "hooks": {
    "SessionStart": [{
      "hooks": [{
        "type": "command",
        "command": "python \"$HOME/.claude/hooks/owl-session-start.py\"",
        "timeout": 15
      }]
    }],
    "PostToolUse": [
      {
        "matcher": "Write|Edit",
        "hooks": [{
          "type": "command",
          "command": "python \"$HOME/.claude/hooks/owl-post-write.py\"",
          "timeout": 10
        }]
      },
      {
        "matcher": "Bash",
        "hooks": [{
          "type": "command",
          "command": "python \"$HOME/.claude/hooks/owl-compliance-check.py\"",
          "timeout": 15
        }]
      }
    ]
  }
}

Configuration

Each project gets an owl-audit.config.json:

{
  "watch_paths": [
    "./"
  ],
  "exclude_patterns": [
    "**/.git/**",
    "**/__pycache__/**",
    "**/node_modules/**",
    "**/.venv/**",
    "**/venv/**",
    "**/.DS_Store",
    "**/Thumbs.db",
    "**/*.pyc",
    "**/audit_store/**",
    "**/*.backup.*",
    "*.backup.*"
  ],
  "hash_algorithm": "sha256",
  "dual_hash": false,
  "store_path": "./audit_store",
  "ontology_file": "audit.ttl",
  "scan_interval_seconds": 300,
  "max_file_size_bytes": 524288000,
  "file_categories": {
    "code": [
      ".py",
      ".js",
      ".ts",
      ".jsx",
      ".tsx",
      ".rs",
      ".go",
      ".java",
      ".cs",
      ".dart",
      ".rb",
      ".php"
    ],
    "config": [
      ".json",
      ".yaml",
      ".yml",
      ".toml",
      ".env",
      ".xml"
    ],
    "spec": [
      ".md",
      ".txt",
      ".rst"
    ],
    "media": [
      ".png",
      ".jpg",
      ".jpeg",
      ".svg",
      ".webp"
    ]
  },
  "log_level": "INFO",
  "enable_watchdog": true,
  "compact_after_events": 10000
}

Environment variables

Variable Read by Purpose
OWL_AUDIT_CONFIG_PATH MCP server Absolute path to an owl-audit.config.json; pins the default project used when a tool call provides no project_path.
OWL_AUDIT_PROJECT_DIR Hooks and MCP server Root of the Agent Owl installation, so the hooks can import the agent_owl package. Set automatically by the plugin (.mcp.json) and by setup.sh — you only need it for manual setups.

SPARQL Examples

All files modified in last 24h:

PREFIX ao: <https://arnwaldn.github.io/agent-owl/ontology/audit#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?path ?ts WHERE {
    ?evt ao:hasEventType ao:FileModified ;
         ao:concernsFile ?f ;
         ao:timestamp ?ts .
    ?f ao:filePath ?path .
    FILTER(?ts > "2026-02-19T00:00:00Z"^^xsd:dateTime)
}

Full provenance chain for a file:

PREFIX ao: <https://arnwaldn.github.io/agent-owl/ontology/audit#>
SELECT ?vnum ?hash ?ts WHERE {
    ?f ao:filePath "/path/to/file" ;
       ao:hasVersion ?v .
    ?v ao:versionNumber ?vnum ;
       ao:versionTimestamp ?ts ;
       ao:hasHash ?h .
    ?h ao:hashValue ?hash .
}
ORDER BY ?vnum

All registered AI systems:

PREFIX ao: <https://arnwaldn.github.io/agent-owl/ontology/audit#>
SELECT ?name ?risk ?status WHERE {
    ?sys a ao:AISystem ;
         ao:systemName ?name ;
         ao:hasRiskLevel ?risk ;
         ao:hasComplianceStatus ?status .
}

Development

Run tests

pip install -e ".[dev]"
pytest tests/ -v --tb=short

Lint

ruff check .
mypy agent_owl agent_owl_mcp_server.py

Test coverage

pytest tests/ --cov=agent_owl --cov-report=term-missing

How Multi-Project Works

Agent Owl handles multiple projects simultaneously:

  1. Walk-up discovery: From any file path, walks up directories to find owl-audit.config.json
  2. Project root detection: Recognizes 15 project markers (.git, package.json, pyproject.toml, go.mod, Cargo.toml, pubspec.yaml, pom.xml, build.gradle, build.gradle.kts, composer.json, Gemfile, CMakeLists.txt, Makefile, setup.py, requirements.txt)
  3. Auto-initialization: Creates config + audit_store + .gitignore entry automatically
  4. AgentCache: Thread-safe LRU cache (max 16 projects) with OrderedDict for O(1) operations
  5. Isolation: Each project has its own audit store, config, and RDF graph

Tech Stack

  • Python >= 3.11
  • rdflib >= 7.0 — RDF/OWL graph engine
  • watchdog >= 4.0 — File system monitoring
  • pyshacl >= 0.26 — SHACL constraint validation (optional)
  • jinja2 >= 3.1 — Report template rendering (optional)
  • FastMCP — Model Context Protocol server

License

MIT License — see LICENSE


Agent Owl watches over your code. Every byte accounted for.

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