Stop shipping under-specified agents. Track every agent in your fleet — MCP servers, deployment tier, env vars, required tools — and audit completeness before deployment. Built for teams building 3+ AI agents who need a single source of truth for what each agent needs. ## What's included - **Agent spec ledger** — name, purpose, deployment tier, MCP servers, required vault keys, env vars - **Completeness audit** — flags missing/inconsistent fields before deploy - **Capability matrix** — cross-reference table of which agents have which tools (find overlap or gaps) - **Tier-cost estimator** — predicted monthly compute cost per agent based on deployment tier + usage pattern - **Version control** — track spec changes over time, who changed what when - **Pre-deploy checklist** — runs against the spec before allowing deploy - **Export to YAML / JSON** for IaC pipelines ## Limitations - **Doesn't deploy agents** — surfaces the spec; deployment is via your usual orchestrator (ClawHQ marketplace, internal tooling) - **MCP catalog is curated** — pairs well with the MCP Server Recommender for catalog browsing - **Doesn't validate that MCPs WORK together** — only that they're declared - **Single-source-of-truth assumes you maintain it** — if your eng team also tracks specs in Notion, you'll have drift unless one is canonical - **Doesn't generate the agent's system prompt** — spec is metadata, prompt design is separate work ## Best fit Teams building 3+ AI agents who've been bitten by "this agent broke in prod because someone forgot to add the Stripe MCP." Especially valuable for AI consultancies managing multiple client agent fleets or internal teams scaling from 5 → 50 agents.
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