Helm
The operating layer for Amazon teams using AI agents, MCPs, and disconnected tools. Helm adds brand context, source routing, evidence trails, run history, and human-review outputs to the tools a team already owns.
See the live product ↗I’m Brett Bohannon. I build AI agents, MCP infrastructure, and operator workflows—tested inside a solo Amazon business managing roughly $2M in monthly revenue.
Most builders have to imagine the operating problem. I live inside it. Catalog drift. Ad changes. Inventory. Research. Reporting. Tool sprawl. I find the repeated decision, define the evidence, and ship the system.
Run the real business and identify where attention is being wasted.
Turn operator judgment into sources, guardrails, and a repeatable workflow.
Connect APIs, MCPs, agents, automations, and human review where it matters.
Use production feedback to make the output faster, safer, and more useful.
The operating layer for Amazon teams using AI agents, MCPs, and disconnected tools. Helm adds brand context, source routing, evidence trails, run history, and human-review outputs to the tools a team already owns.
See the live product ↗Agent-native catalog auditing with structured queries, built-in health checks, listing diffs, RUFUS scoring, and an MCP server. Published as a real tool—not a notebook.
View on GitHub ↗A generic bridge that exposes any stdio or remote MCP server as plain REST endpoints, so agent frameworks can use MCP tools without implementing the protocol.
View on GitHub ↗An MCP server and agent skill with 18 tools for Amazon prices, BSR, Buy Box, variation families, sellers, deals, and promotional-impact monitoring across 100+ ASINs.
View on GitHub ↗A family of standardized agent interfaces for DataDive, SmartScout, Intentwise, Asgard, and Keepa—normalizing inconsistent APIs into predictable, machine-readable tool surfaces.
View a public adapter ↗Production utilities for bulk listing content, keyword-growth analysis, SQP exploration, ad SKU migration, inventory visibility, and recurring operating briefs. The private code stays private; the system thinking is available to discuss.
Ask about the systems ↗An open-source catalog for Amazon seller agent skills—built to make useful operator workflows easier to discover, install, and share.
View on GitHub ↗Upload-ready migrations for Sponsored Products and Display when seller SKUs change.
PublicDeprecated OpenClaw wrapper; its agent surface now lives inside Catalog CLI.
PublicAgent-native Amazon catalog auditing, health checks, listing diff, and MCP.
PublicInternal Amazon operator utility; implementation and operating data remain private.
PrivatePrivate working repository supporting Brett’s Amazon content and experiments.
PrivateMCP surface for Amazon search, offers, reviews, seller, and usage data.
PrivateBulk Amazon listing content and image updates driven by structured SKU attributes.
PrivateEvidence-led keyword-growth analysis playbook, data model, scoring, and QA.
PrivateSearch Query Performance explorer with filtering, visualization, and exports.
PrivateAgent workflow infrastructure with context, routing, evidence, and review loops.
PrivateEvidence-backed workflow for Amazon’s shorter title requirements.
PublicStandardized agent interface for Amazon advertising and commerce analytics.
PrivateClient-side FBA and AWD inventory visibility from Seller Central exports.
PublicThis portfolio and the public home for Brett’s systems work.
PrivatePrivate build for a weekly, operator-led AI conversation and signal.
PrivateI’m strongest where business operations, data, and applied AI meet: translating messy workflows into systems people can trust and use. I’m open to the right full-time role, founding-team conversation, or focused build.