feat: add Atomic Chat MCP tool skill

Exposes local Atomic Chat models (OpenAI-compatible API at
127.0.0.1:1337/v1) as tools to the container agent. Adds
atomic_chat_list_models and atomic_chat_generate alongside
the existing Ollama skill.

Rebased on current main:
- MCP server registered in agent-runner index.ts using bun (no tsc
  step in-image), sibling path to index.ts, env: {} with ATOMIC_CHAT_*
  forwarded when set.
- allowedTools entry moved to providers/claude.ts TOOL_ALLOWLIST.
- SKILL.md: drop obsolete per-group copy step (single RO mount
  supersedes it); use pnpm build.

Made-with: Cursor
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

.claude/skills/add-atomic-chat-tool/SKILL.md

@@ -0,0 +1,154 @@
+---
+name: add-atomic-chat-tool
+description: Add Atomic Chat MCP server so the container agent can call local models served by the Atomic Chat desktop app via its OpenAI-compatible API.
+---
+
+# Add Atomic Chat Integration
+
+This skill adds a stdio-based MCP server that exposes models running in the local [Atomic Chat](https://github.com/AtomicBot-ai/Atomic-Chat) desktop app as tools for the container agent. Claude remains the orchestrator but can offload work to local models served by Atomic Chat on `http://127.0.0.1:1337/v1` (OpenAI-compatible).
+
+Tools exposed:
+- `atomic_chat_list_models` — list models currently available in Atomic Chat (`GET /v1/models`)
+- `atomic_chat_generate` — send a prompt to a specified model and return the response (`POST /v1/chat/completions`)
+
+Model management (download, delete) is done through the **Atomic Chat desktop UI** — the app is a fork of Jan and manages its own model library.
+
+## Phase 1: Pre-flight
+
+### Check if already applied
+
+Check if `container/agent-runner/src/atomic-chat-mcp-stdio.ts` exists. If it does, skip to Phase 3 (Configure).
+
+### Check prerequisites
+
+Verify Atomic Chat is installed and its local API server is running. On the host:
+
+```bash
+curl -s http://127.0.0.1:1337/v1/models | head
+```
+
+If the request fails:
+
+1. Install Atomic Chat from the [latest release](https://github.com/AtomicBot-ai/Atomic-Chat/releases) (macOS only for now — `atomic-chat.dmg`).
+2. Open the app.
+3. Open **Settings → Local API Server** and make sure it's enabled on port `1337`.
+4. Go to the **Hub** (or **Models**) tab and download at least one model (e.g. Llama 3.2 3B, Qwen 2.5 Coder 7B).
+5. Load the model once by sending any message in Atomic Chat's UI to warm it up.
+
+## Phase 2: Apply Code Changes
+
+### Ensure upstream remote
+
+```bash
+git remote -v
+```
+
+If `upstream` is missing, add it:
+
+```bash
+git remote add upstream https://github.com/qwibitai/nanoclaw.git
+```
+
+### Merge the skill branch
+
+```bash
+git fetch upstream skill/atomic-chat-tool
+git merge upstream/skill/atomic-chat-tool
+```
+
+This merges in:
+- `container/agent-runner/src/atomic-chat-mcp-stdio.ts` (Atomic Chat MCP server, run directly via `bun`)
+- Atomic Chat MCP registration in `container/agent-runner/src/index.ts` (`mcpServers.atomic_chat`)
+- `mcp__atomic_chat__*` added to `TOOL_ALLOWLIST` in `container/agent-runner/src/providers/claude.ts`
+- `[ATOMIC]` log surfacing and `ATOMIC_CHAT_HOST` / `ATOMIC_CHAT_API_KEY` forwarding in `src/container-runner.ts`
+- `ATOMIC_CHAT_HOST` / `ATOMIC_CHAT_API_KEY` stubs in `.env.example`
+
+If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.
+
+### Validate code changes
+
+```bash
+pnpm run build
+./container/build.sh
+```
+
+Build must be clean before proceeding.
+
+## Phase 3: Configure
+
+### Set Atomic Chat host (optional)
+
+By default, the MCP server connects to `http://host.docker.internal:1337` (Docker Desktop) with a fallback to `localhost`. To use a custom host, add to `.env`:
+
+```bash
+ATOMIC_CHAT_HOST=http://your-atomic-chat-host:1337
+```
+
+### Set API key (optional)
+
+Atomic Chat does **not require authentication** when running locally — leave this unset. Only set it if you've put Atomic Chat behind a reverse proxy that enforces auth:
+
+```bash
+ATOMIC_CHAT_API_KEY=sk-...
+```
+
+### Restart the service
+
+```bash
+launchctl kickstart -k gui/$(id -u)/com.nanoclaw  # macOS
+# Linux: systemctl --user restart nanoclaw
+```
+
+## Phase 4: Verify
+
+### Test inference
+
+Tell the user:
+
+> Send a message like: "use atomic chat to tell me the capital of France"
+>
+> The agent should use `atomic_chat_list_models` to find available models, then `atomic_chat_generate` to get a response.
+
+### Check logs if needed
+
+```bash
+tail -f logs/nanoclaw.log | grep -i atomic
+```
+
+Look for:
+- `[ATOMIC] Listing models...` — list request started
+- `[ATOMIC] Found N models` — models discovered
+- `[ATOMIC] >>> Generating with <model>` — generation started
+- `[ATOMIC] <<< Done: <model> | Xs | N tokens | M chars` — generation completed
+
+## Troubleshooting
+
+### Agent says "Atomic Chat is not installed" or tries to run a CLI
+
+The agent is looking for a CLI that doesn't exist instead of using the MCP tools. This means:
+1. The MCP server wasn't registered — check `container/agent-runner/src/index.ts` has the `atomic_chat` entry in `mcpServers`
+2. The allowlist wasn't updated — check `container/agent-runner/src/providers/claude.ts` includes `mcp__atomic_chat__*` in `TOOL_ALLOWLIST`
+3. The container wasn't rebuilt — run `./container/build.sh`
+
+### "Failed to connect to Atomic Chat"
+
+1. Verify the host API is reachable: `curl http://127.0.0.1:1337/v1/models`
+2. Confirm the Local API Server is enabled in Atomic Chat's settings
+3. Check Docker can reach the host: `docker run --rm curlimages/curl curl -s http://host.docker.internal:1337/v1/models`
+4. If using a custom host, check `ATOMIC_CHAT_HOST` in `.env`
+
+### `model not found` / 404 on generate
+
+The model ID passed to `atomic_chat_generate` must exactly match one of the IDs returned by `atomic_chat_list_models`. Ask the agent to list models first, then pick one from that list.
+
+### Slow first response
+
+Atomic Chat lazy-loads models into memory on first use. The initial call may take longer while the model warms up. Subsequent calls against the same model are fast.
+
+### Agent doesn't use Atomic Chat tools
+
+The agent may not know about the tools. Try being explicit: "use the atomic_chat_generate tool with llama3.2-3b-instruct to answer: ..."
+
+### Context window or output size issues
+
+Atomic Chat respects each model's native context length. If you hit limits, pass `max_tokens` explicitly when calling `atomic_chat_generate`, or switch to a model with a larger context window in the Atomic Chat UI.

.env.example

@@ -0,0 +1,7 @@
+# Atomic Chat MCP tool (skill/atomic-chat-tool)
+# Override the host where Atomic Chat exposes its OpenAI-compatible API.
+# Default: http://host.docker.internal:1337 (with fallback to localhost)
+# ATOMIC_CHAT_HOST=http://host.docker.internal:1337
+
+# Optional API key. Leave unset for a local Atomic Chat install — it does not require auth.
+# ATOMIC_CHAT_API_KEY=

container/agent-runner/src/atomic-chat-mcp-stdio.ts

@@ -0,0 +1,229 @@
+/**
+ * Atomic Chat MCP Server for NanoClaw
+ * Exposes local Atomic Chat models (OpenAI-compatible, /v1) as tools for the container agent.
+ * Uses host.docker.internal to reach the host's Atomic Chat desktop app from Docker.
+ */
+
+import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
+import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
+import { z } from 'zod';
+
+import fs from 'fs';
+import path from 'path';
+
+const ATOMIC_CHAT_HOST =
+  process.env.ATOMIC_CHAT_HOST || 'http://host.docker.internal:1337';
+const ATOMIC_CHAT_API_KEY = process.env.ATOMIC_CHAT_API_KEY || '';
+const ATOMIC_CHAT_STATUS_FILE = '/workspace/ipc/atomic_chat_status.json';
+
+function log(msg: string): void {
+  console.error(`[ATOMIC] ${msg}`);
+}
+
+function writeStatus(status: string, detail?: string): void {
+  try {
+    const data = { status, detail, timestamp: new Date().toISOString() };
+    const tmpPath = `${ATOMIC_CHAT_STATUS_FILE}.tmp`;
+    fs.mkdirSync(path.dirname(ATOMIC_CHAT_STATUS_FILE), { recursive: true });
+    fs.writeFileSync(tmpPath, JSON.stringify(data));
+    fs.renameSync(tmpPath, ATOMIC_CHAT_STATUS_FILE);
+  } catch {
+    /* best-effort */
+  }
+}
+
+async function atomicFetch(
+  apiPath: string,
+  options?: RequestInit,
+): Promise<Response> {
+  const url = `${ATOMIC_CHAT_HOST}${apiPath}`;
+  const headers: Record<string, string> = {
+    ...((options?.headers as Record<string, string>) || {}),
+  };
+  if (ATOMIC_CHAT_API_KEY) {
+    headers.Authorization = `Bearer ${ATOMIC_CHAT_API_KEY}`;
+  }
+  const finalOptions: RequestInit = { ...options, headers };
+  try {
+    return await fetch(url, finalOptions);
+  } catch (err) {
+    // Fallback to localhost if host.docker.internal fails
+    if (ATOMIC_CHAT_HOST.includes('host.docker.internal')) {
+      const fallbackUrl = url.replace('host.docker.internal', 'localhost');
+      return await fetch(fallbackUrl, finalOptions);
+    }
+    throw err;
+  }
+}
+
+const server = new McpServer({
+  name: 'atomic_chat',
+  version: '1.0.0',
+});
+
+server.tool(
+  'atomic_chat_list_models',
+  'List all models available in the local Atomic Chat desktop app. Use this to see which models are loaded before calling atomic_chat_generate.',
+  {},
+  async () => {
+    log('Listing models...');
+    writeStatus('listing', 'Listing available models');
+    try {
+      const res = await atomicFetch('/v1/models');
+      if (!res.ok) {
+        return {
+          content: [
+            {
+              type: 'text' as const,
+              text: `Atomic Chat API error: ${res.status} ${res.statusText}`,
+            },
+          ],
+          isError: true,
+        };
+      }
+
+      const data = (await res.json()) as {
+        data?: Array<{ id: string; owned_by?: string }>;
+      };
+      const models = data.data || [];
+
+      if (models.length === 0) {
+        return {
+          content: [
+            {
+              type: 'text' as const,
+              text: 'No models available. Open Atomic Chat on the host and download a model from the Hub.',
+            },
+          ],
+        };
+      }
+
+      const list = models
+        .map((m) => `- ${m.id}${m.owned_by ? ` (${m.owned_by})` : ''}`)
+        .join('\n');
+
+      log(`Found ${models.length} models`);
+      return {
+        content: [
+          { type: 'text' as const, text: `Available models:\n${list}` },
+        ],
+      };
+    } catch (err) {
+      return {
+        content: [
+          {
+            type: 'text' as const,
+            text: `Failed to connect to Atomic Chat at ${ATOMIC_CHAT_HOST}: ${err instanceof Error ? err.message : String(err)}`,
+          },
+        ],
+        isError: true,
+      };
+    }
+  },
+);
+
+server.tool(
+  'atomic_chat_generate',
+  'Send a prompt to a local Atomic Chat model and get a response. Good for cheaper/faster tasks like summarization, translation, or general queries. Use atomic_chat_list_models first to see available models.',
+  {
+    model: z
+      .string()
+      .describe(
+        'The model ID as returned by atomic_chat_list_models (e.g. "llama3.2-3b-instruct")',
+      ),
+    prompt: z.string().describe('The prompt to send to the model'),
+    system: z
+      .string()
+      .optional()
+      .describe('Optional system prompt to set model behavior'),
+    temperature: z
+      .number()
+      .optional()
+      .describe('Sampling temperature (0.0–2.0). Defaults to model default.'),
+    max_tokens: z
+      .number()
+      .optional()
+      .describe('Maximum number of tokens to generate in the response.'),
+  },
+  async (args) => {
+    log(`>>> Generating with ${args.model} (${args.prompt.length} chars)...`);
+    writeStatus('generating', `Generating with ${args.model}`);
+    try {
+      const messages: Array<{ role: string; content: string }> = [];
+      if (args.system) {
+        messages.push({ role: 'system', content: args.system });
+      }
+      messages.push({ role: 'user', content: args.prompt });
+
+      const body: Record<string, unknown> = {
+        model: args.model,
+        messages,
+        stream: false,
+      };
+      if (args.temperature !== undefined) body.temperature = args.temperature;
+      if (args.max_tokens !== undefined) body.max_tokens = args.max_tokens;
+
+      const startedAt = Date.now();
+      const res = await atomicFetch('/v1/chat/completions', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify(body),
+      });
+
+      if (!res.ok) {
+        const errorText = await res.text();
+        return {
+          content: [
+            {
+              type: 'text' as const,
+              text: `Atomic Chat error (${res.status}): ${errorText}`,
+            },
+          ],
+          isError: true,
+        };
+      }
+
+      const data = (await res.json()) as {
+        choices?: Array<{ message?: { content?: string } }>;
+        usage?: {
+          prompt_tokens?: number;
+          completion_tokens?: number;
+          total_tokens?: number;
+        };
+      };
+
+      const response = data.choices?.[0]?.message?.content ?? '';
+      const elapsedSec = ((Date.now() - startedAt) / 1000).toFixed(1);
+      const completionTokens = data.usage?.completion_tokens;
+
+      const meta = `\n\n[${args.model} | ${elapsedSec}s${
+        completionTokens !== undefined ? ` | ${completionTokens} tokens` : ''
+      }]`;
+
+      log(
+        `<<< Done: ${args.model} | ${elapsedSec}s | ${
+          completionTokens ?? '?'
+        } tokens | ${response.length} chars`,
+      );
+      writeStatus(
+        'done',
+        `${args.model} | ${elapsedSec}s | ${completionTokens ?? '?'} tokens`,
+      );
+
+      return { content: [{ type: 'text' as const, text: response + meta }] };
+    } catch (err) {
+      return {
+        content: [
+          {
+            type: 'text' as const,
+            text: `Failed to call Atomic Chat: ${err instanceof Error ? err.message : String(err)}`,
+          },
+        ],
+        isError: true,
+      };
+    }
+  },
+);
+
+const transport = new StdioServerTransport();
+await server.connect(transport);

container/agent-runner/src/index.ts

@@ -79,6 +79,14 @@ async function main(): Promise<void> {
       args: ['run', mcpServerPath],
       env: {},
     },
+    atomic_chat: {
+      command: 'bun',
+      args: ['run', path.join(__dirname, 'atomic-chat-mcp-stdio.ts')],
+      env: {
+        ...(process.env.ATOMIC_CHAT_HOST ? { ATOMIC_CHAT_HOST: process.env.ATOMIC_CHAT_HOST } : {}),
+        ...(process.env.ATOMIC_CHAT_API_KEY ? { ATOMIC_CHAT_API_KEY: process.env.ATOMIC_CHAT_API_KEY } : {}),
+      },
+    },
   };
 
   for (const [name, serverConfig] of Object.entries(config.mcpServers)) {

container/agent-runner/src/providers/claude.ts

@@ -55,6 +55,7 @@ const TOOL_ALLOWLIST = [
   'Skill',
   'NotebookEdit',
   'mcp__nanoclaw__*',
+  'mcp__atomic_chat__*',
 ];
 
 interface SDKUserMessage {

src/container-runner.ts

@@ -139,7 +139,12 @@ async function spawnContainer(session: Session): Promise<void> {
   // Log stderr
   container.stderr?.on('data', (data) => {
     for (const line of data.toString().trim().split('\n')) {
-      if (line) log.debug(line, { container: agentGroup.folder });
+      if (!line) continue;
+      if (line.includes('[ATOMIC]')) {
+        log.info(line, { container: agentGroup.folder });
+      } else {
+        log.debug(line, { container: agentGroup.folder });
+      }
     }
   });
 
@@ -396,6 +401,14 @@ async function buildContainerArgs(
   // Everything NanoClaw-specific is in container.json (read by runner at startup).
   args.push('-e', `TZ=${TIMEZONE}`);
 
+  // Atomic Chat MCP tool: forward host overrides if set (default is host.docker.internal:1337).
+  if (process.env.ATOMIC_CHAT_HOST) {
+    args.push('-e', `ATOMIC_CHAT_HOST=${process.env.ATOMIC_CHAT_HOST}`);
+  }
+  if (process.env.ATOMIC_CHAT_API_KEY) {
+    args.push('-e', `ATOMIC_CHAT_API_KEY=${process.env.ATOMIC_CHAT_API_KEY}`);
+  }
+
   // Provider-contributed env vars (e.g. XDG_DATA_HOME, OPENCODE_*, NO_PROXY).
   if (providerContribution.env) {
     for (const [key, value] of Object.entries(providerContribution.env)) {