A collection of my custom MCP tools for day-to-day workflows.
| Tool | What it does | Status | Docs |
|---|---|---|---|
gcloud-mcp |
Start/stop/status workflows for Google Compute Engine instances, including GPU-focused use cases. | Active | Tool README |
mcp-tools/
scripts/
run-<tool-name>.sh
...
servers/
<tool-name>/
src/<tool_package>/server.py
README.md
gce-ops-mcp/
src/gce_ops_mcp/server.py
README.md
Detailed install, Codex/Claude config, and usage examples are documented per tool.
Use the link in the Docs column in the table above.
- Keep setup simple.
- Avoid hardcoded personal project IDs, usernames, or instance names.
- Support environment-driven defaults (
GCP_PROJECT_IDis optional). - Keep Local SSD stop behavior explicit.
- Stay easy to extend with more cloud MCP servers over time.
- Works well for local use.
- Versioning and CI can be added as this grows.
This repo now includes a marketplace-style plugin/skill scaffold so the GCP workflow can be ported into fundamental-physics/marketplace with minimal restructuring:
.claude-plugin/marketplace.json
plugins/core/.claude-plugin/plugin.json
plugins/core/skills/gce-ops-mcp/SKILL.md