Nous Research Hermes MCP — agentic marketing ops, on open weights you own.
Open weights you self-host still live data and through the same approval step.
What the Offloda in Nous Research Hermes is
Hermes is the agentic reasoning core; Offloda is the hands. Hermes is tool-calling-native and open-weight, so it can plan a multi-step marketing task, call the right Offloda tool at each hop, and drive the loop to a result — on infrastructure you control, no data leaving your stack. One MCP connector exposes every client's Google Ads, Meta, Analytics, Search Console and AI-search rankings, scoped to exactly what the agent's seat is allowed to touch, with the approval gate on every action. Because the model runs on your own deployment, there are no per-token AI costs stacked on top.
What you can do
Hand Hermes an outcome — “find and fix the three worst-pacing campaigns across every client” — and it plans, calls the tools, and works the loop until it's done.
Self-host the model that drives the agent. Client account data stays inside your deployment — nothing routed to a third-party LLM.
Autonomous doesn't mean unsupervised. Every change comes back as an exact before-and-after for your approval — new campaigns paused, high-risk actions confirmed twice.
How changes reach Nous Research Hermes
The agent proposes; you approve. Every change executed from a Hermes agent loop is shown to you first, confirmed by you, and on the record — new campaigns launch paused, and high-risk actions take a second acknowledgement. Agentic reach, with the decision still yours.
Setup
- 1
Run your Nous Research Hermes deployment behind an MCP-capable agent runtime (any client that speaks remote MCP).
- 2
Add Offloda as an MCP server and paste your workspace's connector address from the MCP Access page.
- 3
Sign in when prompted — your Offloda login scopes the agent to exactly the brands and platforms its seat can touch.
- 4
Give the agent a goal. It plans the steps, calls the tools, and returns each write for your approval.
Best for: Agencies and platform teams that want autonomous, tool-calling agents on open-weight models they host themselves — full agentic reach, zero data exfiltration.
Everything the workspace exposes as callable tools: paid-media analysis and approved actions · organic and AI-search tracking · reporting · Brand Brain — planned and chained by the agent, scoped per seat.
Every change waits for your yes; every client stays in its own private workspace.
Security
OAuth connection — Offloda never sees your password. Tokens are scoped and encrypted at rest. Every client brand is in its own private workspace; nothing crosses between clients. No AI keys in the browser. Every action is on the record.
For agencies
Give each seat its own scoped agent — every teammate's Hermes loop sees only its brands and platforms. Run autonomous analysis across the whole book of business while the approval gate keeps every change under human control.
vs. a raw Nous Research Hermes MCP
A raw single-platform MCP gives an agent one account and no gate — a fast way to break things autonomously. The Offloda connector gives it every platform, every client, per-seat scoping, the approval step and the record: one surface for the whole agent to reason over.
Frequently asked questions
Does the agent act on its own?
It plans and executes reads on its own — that's the agentic part. But every change is proposed as an exact before-and-after and waits for your confirmation; high-risk actions need a second acknowledgement, and new campaigns launch paused. Autonomy for analysis, a gate for changes.
Where does my client data go?
Nowhere new. Hermes is open-weight, so you run it on your own infrastructure — the reasoning happens inside your deployment, and Offloda keeps each client in its own private workspace, with the same per-seat scoping it enforces everywhere.
Which Hermes model do I need?
Any tool-calling-capable Hermes release wired to an MCP-speaking runtime. The connector is model-agnostic — it exposes the same tools regardless of which open-weight model drives the loop.
What does this cost in AI tokens?
Nothing on Offloda's side. Because you host the model, the reasoning runs on your own compute — Offloda adds no per-token charges on top.
Offloda in Nous Research Hermes — approved by you, under your brand.
Runs on your own AI subscription · New campaigns start paused · One private workspace per client