How I Connected Hermes Agent to MCP for Reliable Tool Execution

Hermes Agent has been surprisingly good.

I have been running it locally for the last few days, testing different tool behaviors, fixing them, and repeating. It is one of the few agent runtimes.

What stood out is how easily Hermes uses the agent runtime from tool configuration. Honsetly it is working better than openclaw

The part that still needs careful setup is tools.

Not because Hermes handles them badly, but because tool integration in general gets messy fast. Auth, APIs, live data, and multi-step workflows tend to sprawl unless you are deliberate about how you wire them.

After setting this up a few times, I wrote down the exact local setup I am now using to give Hermes reliable tool access via MCP360.

This post walks through that setup step by step.

What this setup gives you

Hermes running on your machine MCP support installed and verified An MCP server connected and reachable A way to list available tools from the terminal A simple method to test connections before running anything larger

Install Hermes Agent

pip install hermes-agent

Or if you want the latest from main:

curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

After install, reload your shell:

source ~/.bashrc   # or source ~/.zshrc

Run the setup wizard:

hermes setup

Choose your provider and model here. Hermes requires at least 64K context, and most hosted models meet this without any changes.

Start a chat to confirm everything is working:

hermes

If it responds cleanly, the runtime is active.

Add MCP support

If MCP was not included in your install:

cd ~/.hermes/hermes-agent
uv pip install -e ".[mcp]"

For npm-based servers, make sure Node.js and npx are available on your PATH.

Add MCP360 as your MCP gateway

You will need an MCP360 account to get started. After creating one, generate your MCP360 endpoint URL and keep it secure, it works like a credential.

Add MCP360 directly from the terminal:

hermes mcp add mcp360 --url "https://connect.mcp360.ai/v1/mcp360/mcp?token=YOUR_TOKEN"

Or if you prefer editing config directly, add this to ~/.hermes/config.yaml:

mcp_servers:
  mcp360:
    url: "https://connect.mcp360.ai/v1/mcp360/mcp?token=YOUR_TOKEN"

Check it was registered correctly:

hermes mcp list

Verify the connection

hermes mcp test mcp360

If the connection is working, you will see the tools MCP360 exposes. Search and execute come back immediately. That confirmation is worth getting before you build anything on top of it.

What you can actually do with this

Once the connection is confirmed, the range of what Hermes can do through MCP360 gets interesting. A few things that have worked well:

Multi-source research — pull from Google, Bing, and DuckDuckGo in one workflow, deduplicate, and get a summarized output. Useful for anything competitive or trend-based where one source is not enough.

GitHub workflows — list open issues, filter by label, draft a new one, all in a single session without leaving the terminal.

Chained API tasks — combine web search results with local file writes. Pull live data, process it, save it locally in one agent loop.

E-commerce and price research — search across Amazon, Walmart, and Google Shopping for a product, compare results, and get a structured summary back.

Multi-tool research agents — 4 to 5 tools handing off to each other in sequence. Browser automation, filesystem reads, search, write, all in one run without manual handoffs.

The pattern that holds across all of these: Hermes handles the reasoning and sequencing, MCP360 handles the tool layer. Once that split is clean, workflows become much easier to extend.

One thing worth getting right before you scale up

By default Hermes registers every tool from every connected MCP server. On longer workflows that fills up context fast and the model starts missing things.

Allowlist only what the workflow actually needs:

mcp_servers:
  mcp360:
    url: "https://connect.mcp360.ai/v1/mcp360/mcp?token=YOUR_TOKEN"
    tools:
      include: [tool_one, tool_two]

Run this to walk through tool selection interactively:

hermes mcp configure mcp360

If you change the config while Hermes is already running, reload without restarting:

/reload-mcp

To remove a server entirely if something is not working right:

hermes mcp remove mcp360

If you are lazy like me

Honestly the whole setup above can be handed off to an AI client. I used Codex. Just open it and say:

Codex handles the install, reloads the shell, writes the config, runs the test, and tells you what came back. The whole setup that took me an afternoon the first time took about 4 minutes to hand off.