Add Ollama Tool

Add Ollama Integration

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.

Tools added:

• ollama_list_models — lists installed Ollama models
• ollama_generate — sends a prompt to a specified model and returns the response

Phase 1: Pre-flight

Check if already applied

Read .nanoclaw/state.yaml. If ollama is in applied_skills, skip to Phase 3 (Configure). The code changes are already in place.

Check prerequisites

Verify Ollama is installed and running on the host:

ollama list

If Ollama is not installed, direct the user to https://ollama.com/download.

If no models are installed, suggest pulling one:

You need at least one model. I recommend:

ollama pull gemma3:1b    # Small, fast (1GB)
ollama pull llama3.2     # Good general purpose (2GB)
ollama pull qwen3-coder:30b  # Best for code tasks (18GB)

Phase 2: Apply Code Changes

Run the skills engine to apply this skill's code package.

Initialize skills system (if needed)

If .nanoclaw/ directory doesn't exist yet:

npx tsx scripts/apply-skill.ts --init

Apply the skill

npx tsx scripts/apply-skill.ts .claude/skills/add-ollama-tool

This deterministically:

• Adds container/agent-runner/src/ollama-mcp-stdio.ts (Ollama MCP server)
• Adds scripts/ollama-watch.sh (macOS notification watcher)
• Three-way merges Ollama MCP config into container/agent-runner/src/index.ts (allowedTools + mcpServers)
• Three-way merges [OLLAMA] log surfacing into src/container-runner.ts
• Records the application in .nanoclaw/state.yaml

If the apply reports merge conflicts, read the intent files:

• modify/container/agent-runner/src/index.ts.intent.md — what changed and invariants
• modify/src/container-runner.ts.intent.md — what changed and invariants

Copy to per-group agent-runner

Existing groups have a cached copy of the agent-runner source. Copy the new files:

for dir in data/sessions/*/agent-runner-src; do
  cp container/agent-runner/src/ollama-mcp-stdio.ts "$dir/"
  cp container/agent-runner/src/index.ts "$dir/"
done

Validate code changes

npm run build
./container/build.sh

Build must be clean before proceeding.

Phase 3: Configure

Set Ollama host (optional)

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:

OLLAMA_HOST=http://your-ollama-host:11434

Restart the service

launchctl kickstart -k gui/$(id -u)/com.nanoclaw  # macOS
# Linux: systemctl --user restart nanoclaw

Phase 4: Verify

Test via WhatsApp

Tell the user:

Send a message like: "use ollama to tell me the capital of France"

The agent should use ollama_list_models to find available models, then ollama_generate to get a response.

Monitor activity (optional)

Run the watcher script for macOS notifications when Ollama is used:

./scripts/ollama-watch.sh

Check logs if needed

tail -f logs/nanoclaw.log | grep -i ollama

Look for:

• Agent output: ... Ollama ... — agent used Ollama successfully
• [OLLAMA] >>> Generating — generation started (if log surfacing works)
• [OLLAMA] <<< Done — generation completed

Troubleshooting

Agent says "Ollama is not installed"

The agent is trying to run ollama CLI inside the container instead of using the MCP tools. This means:

1. The MCP server wasn't registered — check container/agent-runner/src/index.ts has the ollama entry in mcpServers
2. The per-group source wasn't updated — re-copy files (see Phase 2)
3. The container wasn't rebuilt — run ./container/build.sh

"Failed to connect to Ollama"

1. Verify Ollama is running: ollama list
2. Check Docker can reach the host: docker run --rm curlimages/curl curl -s http://host.docker.internal:11434/api/tags
3. If using a custom host, check OLLAMA_HOST in .env

Agent doesn't use Ollama tools

The agent may not know about the tools. Try being explicit: "use the ollama_generate tool with gemma3:1b to answer: ..."