ebb-ai MCP server

Tidegap

Run non-urgent LLM tasks at the cleanest grid hour before your deadline.

Tidegap takes the LLM tasks your agent does not need right now, runs them at the lowest-carbon grid hour before a deadline you set, and sends them through the provider Batch API when the deadline allows.

• Picks the dispatch hour from a live 72-hour grid carbon-intensity forecast: 5 real-data feeds, 31 regions (measured, counted in code).
• Routes work with a deadline over 24 hours through the Anthropic and OpenAI Batch APIs, at 50 % of the sync list price (projected, provider list price).
• Writes a signed carbon receipt per task to a local SQLite ledger. tidegap verify checks it offline.

npm install @tidegap/core                                  # TypeScript / Node
pip install "tidegap[anthropic,openai,signing]"            # Python 3.11+
claude plugin marketplace add tidegap/tidegap && claude plugin install tidegap   # Claude Code
npx -y @tidegap/mcp                                        # any other MCP host

// save as plan.mjs, run: node plan.mjs   (GB uses the free UK feed, no API key)
import { recommendWindow, ukCarbonIntensityFeed } from "@tidegap/core";
const deadline = new Date(Date.now() + 24 * 3600 * 1000).toISOString();
const plan = await recommendWindow({ region: "GB", deadline }, { feed: ukCarbonIntensityFeed(), rng: () => 0 });
console.log(plan.scheduledFor, plan.intensityGCo2PerKwh, plan.band);
// 2026-10-16T11:00:00.000Z 66 very_clean   (forecast value on 2026-10-15; yours will differ)

import asyncio; from datetime import datetime, timedelta, timezone
from tidegap import recommend_window, uk_carbon_intensity_feed
deadline = datetime.now(timezone.utc) + timedelta(hours=24)
plan = asyncio.run(recommend_window(region="GB", deadline=deadline, feed=uk_carbon_intensity_feed(), rng=lambda: 0))
print(plan.scheduled_for, plan.intensity_g_co2_per_kwh, plan.band)
# 2026-10-16T11:00:00.000Z 66 very_clean   (forecast value on 2026-10-15; yours will differ)

Without rng, Tidegap picks at random among the cleanest band of near-equal hours, so repeated runs spread load and can return different hours; an rng that returns 0 gives the strict minimum.

Proof: one real run (GB, 2026-09-30, live National Grid ESO forecast). Forecast peak 183 gCO2/kWh, recommended window 88 gCO2/kWh: about 52 % lower, for this run only (forecast, projected). The test task had a 5-minute deadline, so it ran at once; its signed receipt records 158 gCO2/kWh (measured). Raw output and reproducer · every number and its source

In an agent: in Claude Code, /tidegap:defer "Summarize today's notifications" --by 4h. In any other MCP host, the agent calls recommendwindow and scheduletask (10 MCP tools, 13 hosts — host configs).

Renamed from Ebb AI

Until 0.17 this project was Ebb AI (@ebb-ai/*, ebb-ai on PyPI, the ebb command). 0.18.0 renames it to Tidegap, because "Ebb" conflicts with an existing software trademark. Your queue, receipts, signing key and daemon keep working. The old names still work for one release (0.18) and stop in 0.19.

Shortened. The full README is on GitHub.