Initial commit: Add NanoClaw MCP extension with README and secure tests

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2026-04-24 22:11:23 +02:00
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# NanoClaw MCP Extension
## Overview
This is an extension for the Pi Coding Agent (`@mariozechner/pi-coding-agent`) that integrates tools from a NanoClaw Model Context Protocol (MCP) server. It allows the Pi agent to dynamically fetch and execute tools exposed by a remote or local NanoClaw server.
## How it works
When a new Pi session starts, the extension connects to the NanoClaw MCP server via a `StreamableHTTPClientTransport`. It authenticates using a Bearer token, queries the available tools (`listTools`), and automatically registers them within the Pi environment so the AI can use them.
## Configuration
The extension is configured using the following environment variables:
* `NANOCLAW_MCP_TOKEN` **(Required)**: The authentication token for the MCP server. If missing, the extension will skip loading the tools.
* `NANOCLAW_MCP_URL` **(Optional)**: The URL of the NanoClaw MCP server endpoint. Defaults to `http://localhost:3002/mcp`.
## Usage & Example
1. Ensure the extension is placed in your Pi extensions folder (or configured in your workspace to be loaded).
2. Set the necessary environment variables and start Pi:
```bash
export NANOCLAW_MCP_TOKEN="your-secret-token"
# Optional: export NANOCLAW_MCP_URL="http://localhost:3002/mcp"
pi
```
3. When Pi starts, you will see a notification in the UI:
`Connected to nanoclaw MCP server. Loaded X tools: tool_name, another_tool`
4. You can now prompt the AI in the chat to use any of the dynamically loaded tools.
## Connecting via SSH Tunnel
Often, the NanoClaw MCP server is running on a remote machine (e.g., a production server or a different development environment) and shouldn't be exposed directly to the public internet.
In this case, you can use an **SSH Tunnel** to securely forward the traffic.
**Example:**
Forward remote port `3002` to your local port `3002`:
```bash
ssh -L 3002:localhost:3002 user@remote-nanoclaw-host
```
Once the tunnel is active, you can simply run Pi locally without changing the `NANOCLAW_MCP_URL` (since it defaults to `http://localhost:3002/mcp`). The traffic will be securely routed through the SSH tunnel to the NanoClaw instance.
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import type { ExtensionAPI } from "@mariozechner/pi-coding-agent";
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";
import { Type } from "typebox";
export default function (pi: ExtensionAPI) {
pi.on("session_start", async (_event, ctx) => {
const token = process.env.NANOCLAW_MCP_TOKEN;
const serverUrl = process.env.NANOCLAW_MCP_URL || "http://localhost:3002/mcp";
if (!token) {
ctx.ui.notify("NANOCLAW_MCP_TOKEN environment variable is missing. MCP tools won't be loaded.", "warning");
return;
}
ctx.ui.notify(`Connecting to nanoclaw MCP server at ${serverUrl}...`, "info");
try {
const transport = new StreamableHTTPClientTransport(new URL(serverUrl), {
requestInit: {
headers: {
"Authorization": `Bearer ${token}`
}
}
});
const client = new Client(
{ name: "pi-mcp-client", version: "1.0.0" },
{ capabilities: { tools: {} } }
);
await client.connect(transport);
const { tools } = await client.listTools();
for (const tool of tools) {
pi.registerTool({
name: tool.name,
description: tool.description || `MCP Tool: ${tool.name}`,
parameters: Type.Any(),
async execute(id, params) {
try {
const result = await client.callTool({
name: tool.name,
arguments: params as any
});
if (result.isError) {
throw new Error(result.content.map((c: any) => c.text).join("\n"));
}
return {
content: result.content.map((c: any) => ({
type: "text",
text: c.text || JSON.stringify(c)
}))
};
} catch (err: any) {
throw new Error(`MCP Tool Error: ${err.message}`);
}
}
});
}
ctx.ui.notify(`Connected to nanoclaw MCP server. Loaded ${tools.length} tools: ${tools.map(t => t.name).join(', ')}`, "success");
} catch (error: any) {
ctx.ui.notify(`Failed to connect to nanoclaw MCP server: ${error.message}`, "error");
}
});
}
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import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { SSEClientTransport } from "@modelcontextprotocol/sdk/client/sse.js";
import * as EventSource from "eventsource";
global.EventSource = EventSource;
async function run() {
console.log("Connecting...");
const transport = new SSEClientTransport(new URL("http://localhost:3002/mcp"), {
requestInit: {
headers: {
"Authorization": "Bearer MyToKeN"
}
},
eventSourceInit: {
headers: {
"Authorization": "Bearer MyToKeN"
}
}
});
const client = new Client({ name: "test", version: "1.0.0" }, { capabilities: { tools: {} } });
await client.connect(transport);
console.log("Connected! Fetching tools...");
const { tools } = await client.listTools();
console.log("Tools found:", tools.map(t => t.name));
process.exit(0);
}
run().catch(console.error);
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import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";
async function run() {
console.log("Connecting with StreamableHTTPClientTransport...");
const transport = new StreamableHTTPClientTransport(new URL("http://localhost:3002/mcp"), {
requestInit: {
headers: {
"Authorization": "Bearer MyToKeN"
}
}
});
const client = new Client({ name: "test", version: "1.0.0" }, { capabilities: { tools: {} } });
await client.connect(transport);
console.log("Connected! Fetching tools...");
const { tools } = await client.listTools();
console.log("Tools found:", tools.map(t => t.name));
process.exit(0);
}
run().catch(console.error);
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{
"name": "nanoclaw-mcp-ext",
"version": "1.0.0",
"description": "",
"main": "index.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1"
},
"keywords": [],
"author": "",
"license": "ISC",
"type": "commonjs",
"dependencies": {
"@modelcontextprotocol/sdk": "^1.29.0",
"eventsource": "^4.1.0"
},
"devDependencies": {
"@mariozechner/pi-coding-agent": "^0.70.2",
"@types/node": "^25.6.0",
"typebox": "^1.1.33",
"typescript": "^6.0.3"
}
}