Command Center
Zoho appears as a detected email provider: the server's passive MX/SPF discovery script identifies when a company uses Zoho for email, and Zoho is among the catalogued tools whose verified API auth, base URL, and passive discovery signals are exposed to the assistant as context packets (plan, seats, cost, owner, renewal date) for stack queries like overlap and renewal lookups.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Command Centerwhich of our paid tools overlap in function?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Command Center
Your company's purchased productivity tools, inventoried once — then usable as a second brain by any AI assistant. One repo, one source of truth, zero per-seat AI tax.
The idea
Every company pays for a sprawl of tools — email providers, campaign platforms, team chat — and nobody holds the full picture. Command Center fixes that in two layers:
Inventory —
inventory.yamlrecords every purchased tool: plan, seats, cost, owner, renewal date.discovery/scripts detect what's actually in use (MX/DNS checks, expense keyword lists) so the inventory stays honest.Second brain —
brain/server.pyis an MCP server. Claude Desktop, ChatGPT, Cursor and friends connect to it and can answer "which tools do we pay for that do the same thing?" or "what renews next quarter?" straight from your inventory, as typed context packets. Read-only by design.
Related MCP server: toolscope
Repo map
Path | What it is |
| Curated catalog: 19 email/campaign/comms tools with verified API auth, base URLs, and passive discovery signals |
| Passive email-provider detection via MX + SPF records (no credentials) |
| The inventory schema — copy to |
| MCP server: |
|
|
Quickstart
python3 -m venv .venv && .venv/bin/pip install -r requirements.txt
# 1. Detect a company's email provider (passive, no credentials)
.venv/bin/python discovery/mx_discover.py zoho.com
# 2. Record your stack
cp inventory.example.yaml inventory.yaml # then edit it
# 3. Start the second brain (stdio MCP server)
.venv/bin/python brain/server.pyRegister brain/server.py as an MCP server in Claude Desktop
(Settings → Connectors → Add custom connector) or ChatGPT (Settings → Apps / MCP).
Both speak MCP natively — one server, both assistants.
Why this, why now
SaaS inventory tools (Zylo, Torii, Vertice) are enterprise-quote-only with $50K+ floors. AI search tools (Glean) can't act; agent tools (Moveworks) cost six figures. And cloud second brains can vanish overnight — Limitless was acquired by Meta and shut down in Dec 2025. This is the MIT-licensed, self-hosted, MCP-native alternative: your context layer, owned by you. Tokens are rented. Context is owned.
Roadmap
OAuth connector guides per catalog tool (least-privilege scopes)
Expense CSV import → auto-suggest inventory entries
Renewal reminders (scheduled brief)
Tiny web dashboard over
inventory.yaml
This server cannot be deployed
Maintenance
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Read-only MCP tools for AI agent discovery, structured resources, and NIULAI information.
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