alvis
9ab6b7dfed
- adolf-llm/server.js now loads SHARED_MCP_SERVERS from the mounted
/shared-mcp.json instead of a hardcoded stub, so adding a shared MCP
server is a one-file change. Verified end-to-end: a real chat-completions
turn writes a session .mcp.json containing both cognee and openclaw-tools
entries (kimi itself still needs `kimi login` in adolf-llm-home, unrelated
to this change).
- Documented the Gate-1 transport reconciliation: decompiled the installed
@moonshot-ai/kimi-code package to confirm its .mcp.json schema keys remote
servers on `transport` ("stdio"/"http"/"sse", inferred as "http" from a
bare `url`, never "sse"), while OpenClaw's own canonical mcp.servers schema
uses different literals ("streamable-http"/"sse") for the same field name
and treats `type` as a CLI-native alias it normalizes itself. `type: "http"`
is the one shape both consumers tolerate, so shared-mcp.json keeps it.
- New openai/openclaw-tools/ service: a stateless MCP-over-Streamable-HTTP
bridge (Node, @modelcontextprotocol/sdk) exposing message_send, cron_create,
cron_list, nodes_invoke, and browser_invoke, each proxying to the OpenClaw
gateway's POST /tools/invoke. Verified initialize + tools/list handshake and
a tools/call against the not-yet-running `adolf` gateway returns a clean
isError content instead of breaking the MCP connection. Documented that
cron/nodes are hard-denied on that HTTP surface by default until P6 adds
them to gateway.tools.allow; message/browser are not similarly restricted.
- Wired openclaw-tools into docker-compose.yml (openai network, :8020) and
added its shared-mcp.json entry alongside cognee.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
Agap Home Server
Docker Compose configurations for the Agap self-hosted home server infrastructure.
Services
- Immich (
immich-app/) — Photo management and backup (port 2283) - Gitea (
gitea/) — Self-hosted Git server with web UI (port 3000, SSH 222) - Open WebUI (
openai/) — AI chat interface with Ollama, GPU-accelerated (port 3125)
Quick Start
Start Immich (main service)
docker compose up -d
Start Gitea (from gitea/ directory)
cd gitea
docker compose up -d
Start Open WebUI (from openai/ directory)
cd openai
docker compose up -d
Configuration
Environment variables are in the root .env file for Immich:
UPLOAD_LOCATION— where photo originals are storedTHUMB_LOCATION— thumbnail cache directoryENCODED_VIDEO_LOCATION— transcoded video cacheDB_DATA_LOCATION— Postgres database directoryDB_PASSWORD— Postgres password
Storage
Media is stored on:
/mnt/media/upload— Immich originals/mnt/ssd1/media/— Immich thumbnails, encoded video, and Postgres database/mnt/misc/gitea— Gitea repositories and data
GPU Support
For GPU acceleration (Open WebUI/Ollama, Immich ML):
- Install NVIDIA Docker runtime:
sudo ./nvidia-docker-install.sh - Install CUDA toolkit:
./install-cuda.sh
Documentation
See CLAUDE.md for detailed developer instructions and Gitea wiki integration guidelines.
See the Gitea wiki for infrastructure documentation (storage, network, services setup).