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Add Docker support for running skillport-mcp in HTTP mode #77

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95b1c0b
fix(dev): ensure skillport-mcp runnable after uv sync
abnerjacobsen Jan 15, 2026
33526ac
fix(dev): install skillport-mcp via uv default groups
abnerjacobsen Jan 15, 2026
750e42d
Merge pull request #1 from abnerjacobsen/fix/uv-sync-skillport-mcp
abnerjacobsen Jan 15, 2026
fe3d651
build(docker): add Docker setup for SkillPort MCP server
abnerjacobsen Jan 15, 2026
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30 changes: 30 additions & 0 deletions .dockerignore
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.git/
.venv/
__pycache__/
*.pyc
*.pyo
*.pyd
.pytest_cache/
.mypy_cache/
.ruff_cache/

# Local skills/test data
#.skills/

# Build outputs
build/
dist/
*.egg-info/

# IDE
.vscode/
.idea/

# Docs/tests (not needed to run the server)
tests/
guide/
docs/
examples/

# OS
.DS_Store
90 changes: 90 additions & 0 deletions DOCKER_MCP.md
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# Docker: SkillPort MCP Server (HTTP)

This repo ships the MCP server as the `skillport-mcp` command.

The goal of this Docker setup is to run `skillport-mcp` in **Remote mode (HTTP)**:

```bash
SKILLPORT_SKILLS_DIR=.skills uv run skillport-mcp --http --port=3000 --host=0.0.0.0
```

Inside Docker, `SKILLPORT_SKILLS_DIR` should come from env, and typically points to a mounted volume.

---

## Files

- `Dockerfile.mcp`: Multi-stage build using `uv`.
- `scripts/build-mcp-docker.sh`: Convenience builder.

---

## Build

```bash
./scripts/build-mcp-docker.sh
# or: ./scripts/build-mcp-docker.sh v1
```

Manual build:

```bash
docker build -f Dockerfile.mcp -t skillport-mcp:latest .
```

---

## Run (HTTP / Remote mode)

### Default (0.0.0.0:3000)

```bash
docker run -p 3000:3000 \
-e SKILLPORT_SKILLS_DIR=/skills \
-v "$(pwd)/.skills:/skills" \
skillport-mcp:latest
```

The MCP endpoint will be:

- `http://localhost:3000/mcp`

### Custom host/port

```bash
docker run -p 8000:8000 \
-e SKILLPORT_SKILLS_DIR=/skills \
-v "$(pwd)/.skills:/skills" \
skillport-mcp:latest \
skillport-mcp --http --host 0.0.0.0 --port 8000
```

---

## Run (STDIO / Local mode)

If you want stdio transport (useful for local MCP client integration), run without `--http`:

```bash
docker run -i \
-e SKILLPORT_SKILLS_DIR=/skills \
-v "$(pwd)/.skills:/skills" \
skillport-mcp:latest \
skillport-mcp
```

---

## Notes / Tips

- If you want persistence for the index DB, mount the SkillPort home directory (defaults to `~/.skillport` inside the container user home). For example:

```bash
docker run -p 3000:3000 \
-e SKILLPORT_SKILLS_DIR=/skills \
-v "$(pwd)/.skills:/skills" \
-v "skillport-data:/home/app/.skillport" \
skillport-mcp:latest
```

- Embeddings default to `SKILLPORT_EMBEDDING_PROVIDER=none`. If you set it to `openai`, you must also pass `OPENAI_API_KEY`.
52 changes: 52 additions & 0 deletions Dockerfile.mcp
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# syntax=docker/dockerfile:1

# Stage 1: builder
FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim AS builder

ENV UV_COMPILE_BYTECODE=1 \
UV_LINK_MODE=copy

WORKDIR /app

# Copy dependency metadata first for better cache reuse
COPY pyproject.toml uv.lock ./

# Workspace members must exist before `uv sync` can resolve workspace sources.
COPY packages/skillport-core/pyproject.toml packages/skillport-core/pyproject.toml
COPY packages/skillport-mcp/pyproject.toml packages/skillport-mcp/pyproject.toml

# Install dependencies (without installing the workspace itself)
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --locked --no-install-workspace --no-editable --no-dev

# Copy the full workspace
COPY . /app

# Install the workspace (console scripts like `skillport-mcp` become available)
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --locked --no-editable --no-dev


# Stage 2: runtime
FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim AS runtime

# Non-root user
RUN groupadd --gid=1000 app \
&& useradd --uid=1000 --gid=app --shell=/bin/bash --create-home app

WORKDIR /app

# Copy built workspace + venv
COPY --from=builder --chown=app:app /app /app

ENV PATH="/app/.venv/bin:$PATH"

USER app

EXPOSE 3000

# Default: HTTP (Remote mode) on 0.0.0.0:3000
# Override by passing a different command, e.g.:
# docker run -i <image> skillport-mcp # stdio
# docker run -p 8000:8000 <image> skillport-mcp --http --host 0.0.0.0 --port 8000
CMD ["skillport-mcp", "--http", "--host", "0.0.0.0", "--port", "3000"]
9 changes: 9 additions & 0 deletions pyproject.toml
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Expand Up @@ -56,6 +56,10 @@ dev = [
"tomli>=2.0.0",
]

mcp = [
"skillport-mcp==1.1.0",
]

[tool.pytest.ini_options]
asyncio_mode = "auto"
filterwarnings = [
Expand All @@ -69,12 +73,17 @@ Repository = "https://github.com/gotalab/skillport"
[project.scripts]
skillport = "skillport.interfaces.cli.app:run"

[tool.uv]
default-groups = ["dev", "mcp"]

[tool.uv.sources]
skillport-core = { workspace = true }
skillport-mcp = { workspace = true }

[tool.uv.workspace]
members = [
"packages/skillport-core",
"packages/skillport-mcp",
]

[tool.ruff]
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40 changes: 40 additions & 0 deletions scripts/build-mcp-docker.sh
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#!/usr/bin/env bash
# Build script for SkillPort MCP Server Docker image

set -euo pipefail

IMAGE_NAME="skillport-mcp"
TAG="${1:-latest}"
FULL_IMAGE_NAME="${IMAGE_NAME}:${TAG}"

echo "🐳 Building Docker image: ${FULL_IMAGE_NAME}"

docker build -f Dockerfile.mcp -t "${FULL_IMAGE_NAME}" .

echo "✅ Built: ${FULL_IMAGE_NAME}"

# Show image info
echo ""
echo "📊 Image information:"
docker images "${IMAGE_NAME}" --format "table {{.Repository}}\t{{.Tag}}\t{{.ID}}\t{{.Size}}\t{{.CreatedSince}}"

cat <<EOF

🚀 Run (HTTP mode, default):
docker run -p 3000:3000 \
-e SKILLPORT_SKILLS_DIR=/skills \
-v "$(pwd)/.skills:/skills" \
${FULL_IMAGE_NAME}

🔍 Run (HTTP mode, custom host/port):
docker run -p 8000:8000 \
-e SKILLPORT_SKILLS_DIR=/skills \
-v "$(pwd)/.skills:/skills" \
${FULL_IMAGE_NAME} skillport-mcp --http --host 0.0.0.0 --port 8000

🛠️ Run (STDIO mode):
docker run -i \
-e SKILLPORT_SKILLS_DIR=/skills \
-v "$(pwd)/.skills:/skills" \
${FULL_IMAGE_NAME} skillport-mcp
EOF
32 changes: 30 additions & 2 deletions uv.lock
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