d572bab5c6
Move skill definitions from the nanoclaw-skills marketplace plugin into .claude/skills/ so they're available as unprefixed slash commands (e.g. /add-whatsapp instead of /nanoclaw-skills:add-whatsapp). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
154 lines
4.2 KiB
Markdown
154 lines
4.2 KiB
Markdown
---
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name: add-ollama-tool
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description: Add Ollama MCP server so the container agent can call local models for cheaper/faster tasks like summarization, translation, or general queries.
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---
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# Add Ollama Integration
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This skill adds a stdio-based MCP server that exposes local Ollama models as tools for the container agent. Claude remains the orchestrator but can offload work to local models.
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Tools added:
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- `ollama_list_models` — lists installed Ollama models
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- `ollama_generate` — sends a prompt to a specified model and returns the response
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## Phase 1: Pre-flight
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### Check if already applied
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Check if `container/agent-runner/src/ollama-mcp-stdio.ts` exists. If it does, skip to Phase 3 (Configure).
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### Check prerequisites
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Verify Ollama is installed and running on the host:
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```bash
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ollama list
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```
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If Ollama is not installed, direct the user to https://ollama.com/download.
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If no models are installed, suggest pulling one:
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> You need at least one model. I recommend:
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>
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> ```bash
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> ollama pull gemma3:1b # Small, fast (1GB)
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> ollama pull llama3.2 # Good general purpose (2GB)
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> ollama pull qwen3-coder:30b # Best for code tasks (18GB)
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> ```
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## Phase 2: Apply Code Changes
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### Ensure upstream remote
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```bash
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git remote -v
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```
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If `upstream` is missing, add it:
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```bash
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git remote add upstream https://github.com/qwibitai/nanoclaw.git
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```
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### Merge the skill branch
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```bash
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git fetch upstream skill/ollama-tool
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git merge upstream/skill/ollama-tool
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```
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This merges in:
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- `container/agent-runner/src/ollama-mcp-stdio.ts` (Ollama MCP server)
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- `scripts/ollama-watch.sh` (macOS notification watcher)
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- Ollama MCP config in `container/agent-runner/src/index.ts` (allowedTools + mcpServers)
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- `[OLLAMA]` log surfacing in `src/container-runner.ts`
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- `OLLAMA_HOST` in `.env.example`
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If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.
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### Copy to per-group agent-runner
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Existing groups have a cached copy of the agent-runner source. Copy the new files:
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```bash
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for dir in data/sessions/*/agent-runner-src; do
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cp container/agent-runner/src/ollama-mcp-stdio.ts "$dir/"
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cp container/agent-runner/src/index.ts "$dir/"
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done
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```
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### Validate code changes
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```bash
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npm run build
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./container/build.sh
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```
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Build must be clean before proceeding.
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## Phase 3: Configure
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### Set Ollama host (optional)
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By default, the MCP server connects to `http://host.docker.internal:11434` (Docker Desktop) with a fallback to `localhost`. To use a custom Ollama host, add to `.env`:
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```bash
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OLLAMA_HOST=http://your-ollama-host:11434
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```
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### Restart the service
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```bash
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launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
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# Linux: systemctl --user restart nanoclaw
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```
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## Phase 4: Verify
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### Test via WhatsApp
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Tell the user:
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> Send a message like: "use ollama to tell me the capital of France"
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>
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> The agent should use `ollama_list_models` to find available models, then `ollama_generate` to get a response.
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### Monitor activity (optional)
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Run the watcher script for macOS notifications when Ollama is used:
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```bash
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./scripts/ollama-watch.sh
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```
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### Check logs if needed
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```bash
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tail -f logs/nanoclaw.log | grep -i ollama
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```
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Look for:
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- `Agent output: ... Ollama ...` — agent used Ollama successfully
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- `[OLLAMA] >>> Generating` — generation started (if log surfacing works)
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- `[OLLAMA] <<< Done` — generation completed
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## Troubleshooting
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### Agent says "Ollama is not installed"
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The agent is trying to run `ollama` CLI inside the container instead of using the MCP tools. This means:
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1. The MCP server wasn't registered — check `container/agent-runner/src/index.ts` has the `ollama` entry in `mcpServers`
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2. The per-group source wasn't updated — re-copy files (see Phase 2)
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3. The container wasn't rebuilt — run `./container/build.sh`
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### "Failed to connect to Ollama"
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1. Verify Ollama is running: `ollama list`
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2. Check Docker can reach the host: `docker run --rm curlimages/curl curl -s http://host.docker.internal:11434/api/tags`
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3. If using a custom host, check `OLLAMA_HOST` in `.env`
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### Agent doesn't use Ollama tools
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The agent may not know about the tools. Try being explicit: "use the ollama_generate tool with gemma3:1b to answer: ..."
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