agentropix-mcp
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agentropix-mcp
A governed Model Context Protocol (MCP) server for digital-forensics and incident-response (DFIR) work, submitted to the SANS Find Evil! 2026 hackathon. The server exposes a curated set of Volatility 3, Plaso / log2timeline, RegRipper, Eric Zimmerman tools, and supporting forensic utilities through a single FastMCP HTTP endpoint, with:
Bearer-token authentication on every HTTP
/mcprequest. Boot-time fail-closed ifAGENTROPIX_MCP_AUTH_TOKENis unset. Per-request enforcement verified end-to-end on 2026-05-23: missing/bad token → HTTP 401; valid token → MCP initialize succeeds. FastMCP version is pinned to<3.0until the bearer-token middleware is migrated to FastMCP 3.x's native auth system — seedocs/QUICKSTART.md§3.1.Tamper-evident audit log at
/var/log/agentropix/http_audit.log— one JSON line per request, peer-sealed alongside the run report and cross-bound so post-run tampering of either is detectableArchitectural read-only policy on evidence directories (no agent can write to evidence, even if it tries) — enforced before the tool subprocess is even spawned
Structured JSON output from every tool — no raw terminal text flows out; all 46 tools serialize through Pydantic models so a client can reason over the result
The server is transport-agnostic (stdio for local use, HTTP for remote / Tailscale exposure) and runs as a normal Python process — no daemon infrastructure required.
Status
Field | Value |
Submission target | SANS Find Evil! 2026 (deadline 2026-06-15 11:45 PM EDT) |
License | Apache 2.0 |
Language | Python 3.12+ |
MCP framework | FastMCP (HTTP+SSE + stdio) |
Total MCP tools exposed | (TBD — extraction in progress) |
Source-of-truth (private) |
|
Architecture (one-line)
client (Claude Desktop / Cursor / Cline / Zed)
↓ Bearer-token-authenticated HTTP/MCP
FastMCP app ── Audit middleware ── Read-only policy gate
↓
Tool wrappers (Pydantic-typed)
↓
External tools (vol3, plaso, regripper, ezcmd, exiftool, yara, ...)The Custom MCP Server pattern is identified by the hackathon rules as "the most sound architecture in the evaluation" — this submission is the production-grade reference implementation.
Quickstart
(Placeholder — finalized after extraction completes.)
uv sync
uv run python -m agentropix_mcp.fastmcp_app --transport http --host 127.0.0.1 --port 8765Documentation
The full submission documentation suite lives under docs/. Start at the index:
→ docs/INDEX.md — single navigation hub with reading orders per audience.
Direct links:
PROJECT-DESCRIPTION.md— big-picture overview (start here for a 10-min scan)USER-GUIDE.md— operator-facing walkthrough, golden-path journey, anti-goalsARCHITECTURE.md— Devpost D4 Constraint Implementation deep dive, boundary catalogue + Mermaid diagramAGENTS.md— Devpost D1 Autonomous Execution Quality deep dive, planner/reviewer mechanicsDESIGN-DECISIONS.md— ADR rollup, trade-offs, competitive positioningACCURACY-REPORT.md— Devpost D2 IR Accuracy self-assessmentAI-DISCLOSURE.md— AI models used + reproducibility + Anthropic-API data-handling boundaryDATASET.md— Devpost D3 dataset documentation (7 disks + 22 SRL-2018 memory + 25 SRL-2015 memory + nromanoff PST + TeamSpy fixture)DEMO-NARRATION.md— ≤5-min demo video narration script + shot list + production checklist (operator-facing)SANS-PRESENTATION.md— judge-facing 12-slide presentation of features + qualities + independent 10-persona evaluation (77.95/100 ADEQUATE)POC-VIDEOS-PLAN.md— 5 ≤4-min proof-of-concept video plan (one per Devpost dimension; real SRL-2018 / SRL-2015 evidence; production checklists)QUICKSTART.md— battle-tested 10-minute walkthrough on a clean SIFT Workstation 2024.x VMMAINTENANCE.md— dual-repo sync mechanics for maintainersadr/,runbooks/— placeholder directories; canonical content lives in the private source-of-truth repo
Recommended reading orders are in docs/INDEX.md under "Reading orders (by audience)".
Submission components (Devpost D2 §4)
Code repository — this repo
Architecture diagram
Demo video (≤5 min, hosted on YouTube/Vimeo/Youku, ≥1 self-correction sequence)
Written Project Description
Accuracy Report
Dataset documentation
AI-disclosure / reproducibility statement
Submission form on Devpost portal
License
Apache 2.0 — see LICENSE.
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