Claudeclaw add-ollama-tool

Add Ollama MCP server so the container agent can call local models for cheaper/faster tasks like summarization, translation, or general queries.

install
source · Clone the upstream repo
git clone https://github.com/sbusso/claudeclaw
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/sbusso/claudeclaw "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/add-ollama-tool" ~/.claude/skills/sbusso-claudeclaw-add-ollama-tool && rm -rf "$T"
manifest: skills/add-ollama-tool/SKILL.md
source content

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

Check if

agent/runner/src/ollama-mcp-stdio.ts
exists. If it does, skip to Phase 3 (Configure).

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

Ensure upstream remote

git remote -v

If

upstream
is missing, add it:

git remote add upstream https://github.com/sbusso/claudeclaw.git

Merge the skill branch

git fetch upstream skill/ollama-tool
git merge upstream/skill/ollama-tool

This merges in:

  • agent/runner/src/ollama-mcp-stdio.ts
    (Ollama MCP server)
  • scripts/ollama-watch.sh
    (macOS notification watcher)
  • Ollama MCP config in
    agent/runner/src/index.ts
    (allowedTools + mcpServers)
  • [OLLAMA]
    log surfacing in
    src/orchestrator/container-runner.ts
  • OLLAMA_HOST
    in
    .env.example

If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.

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 agent/runner/src/ollama-mcp-stdio.ts "$dir/"
  cp agent/runner/src/index.ts "$dir/"
done

Validate code changes

npm run build
./src/runtimes/docker/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

Service name: Derived from the directory name:

com.claudeclaw.<dirname>
(macOS) /
claudeclaw-<dirname>
(Linux). For example, if cwd is
my-assistant
, the service is
com.claudeclaw.my-assistant
. Determine the correct service name before running service commands below.

Restart the service

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

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/claudeclaw.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
    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
    ./src/runtimes/docker/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: ..."