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>
5.7 KiB
name, description
| name | description |
|---|---|
| add-atomic-chat-tool | 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 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:
curl -s http://127.0.0.1:1337/v1/models | head
If the request fails:
- Install Atomic Chat from the latest release (macOS only for now —
atomic-chat.dmg). - Open the app.
- Open Settings → Local API Server and make sure it's enabled on port
1337. - Go to the Hub (or Models) tab and download at least one model (e.g. Llama 3.2 3B, Qwen 2.5 Coder 7B).
- 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
git remote -v
If upstream is missing, add it:
git remote add upstream https://github.com/qwibitai/nanoclaw.git
Merge the skill branch
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 viabun)- Atomic Chat MCP registration in
container/agent-runner/src/index.ts(mcpServers.atomic_chat) mcp__atomic_chat__*added toTOOL_ALLOWLISTincontainer/agent-runner/src/providers/claude.ts[ATOMIC]log surfacing andATOMIC_CHAT_HOST/ATOMIC_CHAT_API_KEYforwarding insrc/container-runner.tsATOMIC_CHAT_HOST/ATOMIC_CHAT_API_KEYstubs 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
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:
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:
ATOMIC_CHAT_API_KEY=sk-...
Restart the service
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_modelsto find available models, thenatomic_chat_generateto get a response.
Check logs if needed
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:
- The MCP server wasn't registered — check
container/agent-runner/src/index.tshas theatomic_chatentry inmcpServers - The allowlist wasn't updated — check
container/agent-runner/src/providers/claude.tsincludesmcp__atomic_chat__*inTOOL_ALLOWLIST - The container wasn't rebuilt — run
./container/build.sh
"Failed to connect to Atomic Chat"
- Verify the host API is reachable:
curl http://127.0.0.1:1337/v1/models - Confirm the Local API Server is enabled in Atomic Chat's settings
- Check Docker can reach the host:
docker run --rm curlimages/curl curl -s http://host.docker.internal:1337/v1/models - If using a custom host, check
ATOMIC_CHAT_HOSTin.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.