How to Configure MCP Tools in nanobot

This guide adds an MCP server to nanobot so the agent can use external tools through the Model Context Protocol.

What you will build

a working nanobot agent
one MCP server entry in ~/.nanobot/config.json
a restricted set of MCP tools exposed to the model

When to use this

Use MCP when the capability you need already exists as an MCP server, or when you want external tools to be managed outside nanobot core.

Install

python -m pip install nanobot-ai
nanobot onboard --wizard
nanobot agent -m "Hello!"

Install the MCP server runtime separately. Many examples use npx, uvx, or a remote HTTP endpoint.

Minimal working example

Add this to ~/.nanobot/config.json:

{
  "tools": {
    "mcpServers": {
      "filesystem": {
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/dir"],
        "enabledTools": ["read_file"]
      }
    }
  }
}

Restart nanobot and ask a question that requires the MCP tool.

Production notes

Prefer enabledTools over exposing every tool by default.
Use toolTimeout for slow MCP operations.
Use HTTP MCP only for endpoints you trust.
Keep MCP server commands stable and versioned in deployment docs or scripts.

Security notes

Stdio MCP starts a local process; review the command before enabling it.
HTTP/SSE MCP uses nanobot's SSRF guard.
Allow private HTTP MCP hosts only with narrow tools.ssrfWhitelist CIDRs.
Do not place secrets in command arguments when environment variables or headers can be used.

Troubleshooting

Run the MCP command outside nanobot first.
Start nanobot gateway --verbose and inspect tool registration logs.
If an HTTP MCP URL is blocked, check whether it points to loopback or a private address that needs explicit allowlisting.

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