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@ebb-ai/mcp
Advanced tools
Model Context Protocol server for ebb-ai — carbon-aware scheduling tools for any MCP-compatible agent.
Model Context Protocol (MCP) server for ebb-ai — exposes carbon-aware task scheduling as MCP tools that any MCP-compatible agent can call.
# from the repo root
pnpm install
pnpm --filter @ebb-ai/mcp build
node packages/mcp-server/dist/server.js
The server speaks MCP over stdio. To wire it into an agent client:
Edit ~/Library/Application Support/Claude/claude_desktop_config.json
on macOS (Linux/Windows have similar paths):
{
"mcpServers": {
"ebb-ai": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/TO/ebb-ai/packages/mcp-server/dist/server.js"
],
"env": {
"EBB_ELECTRICITY_MAPS_API_KEY": "optional - mock data without it",
"EBB_DEFAULT_REGION": "US-CAL-CISO"
}
}
}
}
Restart Claude Desktop after editing.
Add ebb-ai to your ~/.claude/mcp.json (or workspace .claude/mcp.json):
{
"mcpServers": {
"ebb-ai": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/ebb-ai/packages/mcp-server/dist/server.js"]
}
}
}
Add to ~/.openclaw/mcp.json:
{
"mcpServers": {
"ebb-ai": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/ebb-ai/packages/mcp-server/dist/server.js"]
}
}
}
| Tool | Purpose |
|---|---|
get_grid_forecast(region, hours?) | Hour-by-hour carbon intensity for a region; useful before deciding whether to defer. |
schedule_task(prompt, deadline, model?, region?, carbon_budget_g?) | Queue a task to run in the cleanest window inside the deadline. Returns a task_id. |
check_queue_status(task_id?) | Inspect the queue or one specific task; includes a carbon receipt once the task has completed. |
| Var | Purpose |
|---|---|
EBB_ELECTRICITY_MAPS_API_KEY | API key from electricitymaps.com. If unset, the server falls back to deterministic mock data so you can still run the whole stack locally. |
EBB_DEFAULT_REGION | Electricity Maps zone code, default US-CAL-CISO. |
See ../../ROADMAP.md for the full roadmap.
FAQs
Renamed to @tidegap/mcp. This shim starts the @tidegap/mcp server and stops receiving updates.
The npm package @ebb-ai/mcp receives a total of 0 weekly downloads. As such, @ebb-ai/mcp popularity was classified as not popular.
We found that @ebb-ai/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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