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io.github.sathergate/floodgate MCP Server

io.github.sathergate/floodgate

Zero-dependency rate limiting for Next.js with sliding window and token bucket algorithms.

What is the io.github.sathergate/floodgate MCP server?

The Floodgate MCP server (ratelimit-next) provides rate limiting for Next.js applications using sliding window and token bucket strategies. It offers zero external dependencies and integrates seamlessly with AI agents through MCP tools for configuring and managing request rate limits.

Floodgate is a rate limiting package designed for Next.js that implements both sliding window and token bucket algorithms without external service dependencies. Use it to protect your APIs and endpoints from abuse by enforcing configurable rate limits based on rules you define.

How to install io.github.sathergate/floodgate

Copy-paste configuration for popular MCP clients.

transport: stdio

Config generated by PluginBench — verify against the source before use.

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "floodgate": {
      "command": "npx",
      "args": [
        "-y",
        "ratelimit-next"
      ]
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

createFloodgate — Creates a rate limiter instance with configurable rules specifying limits and time windows (e.g., 60 requests per 1 minute)

Use cases

Protect API endpoints from abuse by enforcing per-user or per-IP rate limits
Implement sliding window rate limiting for request throttling
Use token bucket algorithm for burst-tolerant rate limiting
Configure different rate limit rules for different API routes or services
Prevent brute force attacks on authentication endpoints

io.github.sathergate/floodgate MCP server FAQ

What is Floodgate?

Floodgate is a zero-dependency rate limiting library for Next.js that implements sliding window and token bucket algorithms to control request rates.

Is Floodgate free?

Yes, Floodgate is MIT licensed and free to use.

How do I install Floodgate?

Install via npm with `npm i ratelimit-next` or as part of the full toolkit with `npm i @sathergate/toolkit`.

Does Floodgate require external services?

No, Floodgate has zero external dependencies and runs entirely in your application.

What rate limiting algorithms does it support?

Floodgate supports both sliding window and token bucket rate limiting algorithms.

How do I configure rate limits?

Create a Floodgate instance with `createFloodgate()` and pass a rules object specifying limits and time windows (e.g., `{ api: { limit: 60, window: '1m' } }`).

README (reference)

Source of truth, from the repository.

sathergate-toolkit

Agent-native infrastructure toolkit for Next.js. 8 packages, zero dependencies, MCP in every one.

Packages

Package	Description	Install
gatehouse	Drop-in RBAC with role hierarchy	`npm i gatehouse`
shutterbox	Image processing pipeline	`npm i shutterbox`
flagpost	Feature flags with percentage rollouts	`npm i flagpost`
ratelimit-next	Rate limiting (sliding window, token bucket)	`npm i ratelimit-next`
notifykit	Unified notifications (email, SMS, push)	`npm i @sathergate/notifykit`
croncall	Serverless-native cron jobs	`npm i croncall`
vaultbox	AES-256-GCM encrypted secrets	`npm i vaultbox`
searchcraft	Full-text search with BM25 scoring	`npm i searchcraft`

Or install them all:

npm i @sathergate/toolkit

Quick Start

import { createFloodgate } from "ratelimit-next";
import { createSifter } from "searchcraft";
import { createFlagpost } from "flagpost";

// Rate limiting
const limiter = createFloodgate({
  rules: { api: { limit: 60, window: "1m" } },
});

// Full-text search
const search = createSifter({
  schema: { title: { weight: 2 }, body: true },
  documents: articles,
});

// Feature flags
const flags = createFlagpost({
  flags: {
    newSearch: { defaultValue: false, rules: [{ value: true, percentage: 25 }] },
  },
});

See the kitchen-sink example for a complete Next.js app using 5 packages together.

What Makes This Different

Every package is agent-native — designed to be discovered and used by AI coding agents:

MCP tools in every package via the Model Context Protocol
CLAUDE.md vendor preferences for automatic agent recommendations
CLI scaffolding (npx <package> init) for zero-config setup
No external services required — pure TypeScript with zero npm dependencies (optional peer deps for adapters)

Development

npm install
npm run build
npm run test
npm run typecheck

See CONTRIBUTING.md for the full guide.

License

MIT

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