Feature Flags Plugin

The Feature Flags Plugin gates tools, resources, prompts, and skills based on feature flag evaluation — enabling progressive rollouts, A/B testing, and dynamic capability management for FrontMCP servers.

Why Use Feature Flags?

Declarative Gating

Annotate capabilities with featureFlag metadata — no conditional logic in your tool code

Multiple Providers

Split.io, LaunchDarkly, Unleash, static flags, or your own custom adapter

Per-User Targeting

Evaluate flags per user or session via auth context for targeted rollouts

Execution Gate

Blocks direct tool/call invocations that bypass the list filter — no sneaking past disabled flags

Installation

npm install @frontmcp/plugin-feature-flags

How It Works

Hook Registration

The plugin registers hooks on list flows for tools, resources, prompts, and skills

Metadata Collection

When capabilities are listed, the plugin collects featureFlag refs from each entry’s metadata

Batch Evaluation

Flags are batch-evaluated via the configured adapter in a single call

Capability Filtering

Capabilities with disabled flags are filtered out before reaching the client. An execution gate also blocks direct tool/call for disabled flags.

Quick Start

Basic Setup

import { FrontMcp, App } from '@frontmcp/sdk';
import { FeatureFlagPlugin } from '@frontmcp/plugin-feature-flags';

@App({
  id: 'my-app',
  name: 'My App',
  plugins: [
    FeatureFlagPlugin.init({
      adapter: 'static',
      flags: { 'beta-search': true, 'experimental-agent': false },
    }),
  ],
  tools: [/* your tools */],
})
class MyApp {}

@FrontMcp({
  info: { name: 'My Server', version: '1.0.0' },
  apps: [MyApp],
})
export default class Server {}

Annotating a Tool

import { Tool, ToolContext } from '@frontmcp/sdk';
import { z } from '@frontmcp/sdk';

@Tool({
  name: 'beta-search',
  description: 'Search with beta features enabled',
  inputSchema: { query: z.string() },
  featureFlag: 'beta-search', // Hidden when flag is off
})
export default class BetaSearchTool extends ToolContext {
  async execute(input: { query: string }) {
    return `Beta results for: ${input.query}`;
  }
}

Programmatic Flag Checks

The plugin extends all execution contexts with this.featureFlags:

@Tool({
  name: 'smart-tool',
  description: 'A tool that adapts based on flags',
  inputSchema: { query: z.string() },
})
export default class SmartTool extends ToolContext {
  async execute(input: { query: string }) {
    const useBeta = await this.featureFlags.isEnabled('beta-algorithm');

    if (useBeta) {
      return this.betaSearch(input.query);
    }
    return this.standardSearch(input.query);
  }
}

Adapters

Static

Best for: Development, testing, and demos with fixed flag values.

FeatureFlagPlugin.init({
  adapter: 'static',
  flags: {
    'beta-search': true,
    'experimental-agent': false,
    'premium-feature': true,
  },
})

Split.io

FeatureFlagPlugin.init({
  adapter: 'splitio',
  config: {
    apiKey: process.env.SPLITIO_API_KEY!,
  },
})

Requires the @splitsoftware/splitio peer dependency:

npm install @splitsoftware/splitio

LaunchDarkly

FeatureFlagPlugin.init({
  adapter: 'launchdarkly',
  config: {
    sdkKey: process.env.LAUNCHDARKLY_SDK_KEY!,
  },
})

Requires the @launchdarkly/node-server-sdk peer dependency:

npm install @launchdarkly/node-server-sdk

Unleash

FeatureFlagPlugin.init({
  adapter: 'unleash',
  config: {
    url: process.env.UNLEASH_URL!,
    appName: 'my-mcp-server',
    apiKey: process.env.UNLEASH_API_KEY,
  },
})

Requires the unleash-client peer dependency:

npm install unleash-client

Custom

Provide your own adapter implementing the FeatureFlagAdapter interface:

import type { FeatureFlagAdapter } from '@frontmcp/plugin-feature-flags';

const myAdapter: FeatureFlagAdapter = {
  async initialize() { /* connect to your service */ },
  async isEnabled(flagKey, context) {
    return await myService.checkFlag(flagKey, context.userId);
  },
  async getVariant(flagKey, context) {
    const variant = await myService.getVariant(flagKey, context.userId);
    return { name: variant.name, value: variant.value, enabled: variant.enabled };
  },
  async evaluateFlags(flagKeys, context) {
    const results = new Map<string, boolean>();
    for (const key of flagKeys) {
      results.set(key, await myService.checkFlag(key, context.userId));
    }
    return results;
  },
  async destroy() { /* cleanup */ },
};

FeatureFlagPlugin.init({
  adapter: 'custom',
  adapterInstance: myAdapter,
})

The FeatureFlagAdapter interface:

interface FeatureFlagAdapter {
  initialize(): Promise<void>;
  isEnabled(flagKey: string, context: FeatureFlagContext): Promise<boolean>;
  getVariant(flagKey: string, context: FeatureFlagContext): Promise<FeatureFlagVariant>;
  evaluateFlags(flagKeys: string[], context: FeatureFlagContext): Promise<Map<string, boolean>>;
  destroy(): Promise<void>;
}

Annotating Capabilities

Add featureFlag to any tool, resource, prompt, or skill metadata. Capabilities with disabled flags are hidden from list responses and blocked from direct invocation.

String Shorthand

@Tool({ name: 'beta-search', featureFlag: 'beta-search' })
@Resource({ uri: 'data://beta', featureFlag: 'beta-data' })
@Prompt({ name: 'beta-prompt', featureFlag: 'beta-prompt' })
@Skill({ name: 'beta-skill', featureFlag: 'beta-skill' })

Object Form

Use the object form to specify a defaultValue — the fallback when the adapter throws or the flag is unknown:

@Tool({
  name: 'critical-tool',
  featureFlag: { key: 'critical-tool', defaultValue: true }, // fail-open
})

FeatureFlagRef Fields

Field	Type	Description
`key`	`string`	The flag key to evaluate
`defaultValue`	`boolean`	Fallback value when evaluation fails (default: `false`)

When using the string shorthand (featureFlag: 'key'), defaultValue is false.

Plugin Options

adapter

'static' | 'splitio' | 'launchdarkly' | 'unleash' | 'custom'

required

The feature flag provider to use

flags

Record<string, boolean | FeatureFlagVariant>

Static flag values (only used with adapter: 'static')

config

object

Provider-specific configuration (varies by adapter):

Split.io: { apiKey: string }
LaunchDarkly: { sdkKey: string }
Unleash: { url: string, appName: string, apiKey?: string }

adapterInstance

FeatureFlagAdapter

Custom adapter instance (only used with adapter: 'custom')

defaultValue

boolean

default:"false"

Global fallback when the adapter throws an error during evaluation

cacheStrategy

'session' | 'request' | 'none'

default:"'none'"

How to cache flag evaluation results:

session — cache per session, expires after cacheTtlMs
request — cache per request lifecycle
none — no caching, evaluate every time

cacheTtlMs

number

default:"30000"

Cache TTL in milliseconds (used with cacheStrategy: 'session')

userIdResolver

(ctx: FrontMcpContext) => string | undefined

Custom function to extract the user ID from the request context. By default, the plugin reads authInfo.extra.sub, authInfo.extra.userId, or authInfo.clientId.

attributesResolver

(ctx: FrontMcpContext) => Record<string, unknown>

Custom function to extract targeting attributes from the request context. Attributes are passed to the adapter for per-user targeting rules.

API Reference

FeatureFlagAccessor Methods

Access via this.featureFlags in any execution context (ToolContext, AgentContext, etc.).

isEnabled(flagKey, defaultValue?)

Promise<boolean>

Check if a feature flag is enabled. Uses caching if configured.

const enabled = await this.featureFlags.isEnabled('beta-feature');
const safe = await this.featureFlags.isEnabled('critical-feature', true); // fail-open

getVariant(flagKey)

Promise<FeatureFlagVariant>

Get the variant for a multi-variate flag

const variant = await this.featureFlags.getVariant('search-algorithm');
console.log(variant.name);    // e.g., 'v2'
console.log(variant.value);   // e.g., { boost: 1.5 }
console.log(variant.enabled); // true

evaluateFlags(flagKeys)

Promise<Map<string, boolean>>

Batch evaluate multiple flags at once

const results = await this.featureFlags.evaluateFlags(['flag-a', 'flag-b', 'flag-c']);
if (results.get('flag-a')) {
  // flag-a is enabled
}

resolveRef(ref)

Promise<boolean>

Resolve a FeatureFlagRef (string or object) to a boolean

const ref = { key: 'my-flag', defaultValue: true };
const enabled = await this.featureFlags.resolveRef(ref);

Best Practices

Use static adapter for development

The static adapter requires no external dependencies and gives you instant, predictable flag values during development. Switch to a real adapter (Split.io, LaunchDarkly, Unleash) for staging and production.

FeatureFlagPlugin.init({
  adapter: 'static',
  flags: { 'beta-tools': true, 'experimental-agent': true },
})

Set defaultValue to control failure behavior

When the adapter throws (network error, service down), defaultValue controls whether the flag is treated as enabled or disabled. Set it globally or per-flag:

// Global default: treat unknown flags as disabled
FeatureFlagPlugin.init({
  adapter: 'launchdarkly',
  config: { sdkKey: '...' },
  defaultValue: false,
})

// Per-flag: critical features should fail-open
@Tool({
  name: 'core-tool',
  featureFlag: { key: 'core-tool', defaultValue: true },
})

Use caching with external adapters

External adapters involve network calls. Use cacheStrategy: 'session' to avoid repeated evaluations:

FeatureFlagPlugin.init({
  adapter: 'splitio',
  config: { apiKey: '...' },
  cacheStrategy: 'session',
  cacheTtlMs: 30000, // 30 seconds
})

Use object-form for critical features

For features that should remain available even when the flag service is down, use the object form with defaultValue: true:

@Tool({
  name: 'payment-processor',
  featureFlag: { key: 'payment-processor', defaultValue: true },
})

This ensures the tool stays available if the adapter throws.

Complete Example

import { FrontMcp, App, Tool, ToolContext, Resource, ResourceContext, Prompt, PromptContext } from '@frontmcp/sdk';
import { FeatureFlagPlugin } from '@frontmcp/plugin-feature-flags';
import { z } from '@frontmcp/sdk';

// Configure with static adapter
const featureFlagPlugin = FeatureFlagPlugin.init({
  adapter: 'static',
  flags: {
    'beta-search': true,
    'experimental-agent': false,
    'premium-reports': true,
  },
  defaultValue: false,
});

// Tool gated by a feature flag
@Tool({
  name: 'beta-search',
  description: 'Search with beta algorithm',
  inputSchema: { query: z.string() },
  featureFlag: 'beta-search',
})
class BetaSearchTool extends ToolContext {
  async execute(input: { query: string }) {
    return `Beta results for: ${input.query}`;
  }
}

// Tool with fail-open behavior
@Tool({
  name: 'always-on-tool',
  description: 'A tool that defaults to enabled',
  inputSchema: { input: z.string() },
  featureFlag: { key: 'always-on', defaultValue: true },
})
class AlwaysOnTool extends ToolContext {
  async execute(input: { input: string }) {
    return `Processed: ${input.input}`;
  }
}

// Tool with programmatic flag check
@Tool({
  name: 'adaptive-tool',
  description: 'Adapts behavior based on flags',
  inputSchema: { data: z.string() },
})
class AdaptiveTool extends ToolContext {
  async execute(input: { data: string }) {
    const usePremium = await this.featureFlags.isEnabled('premium-reports');

    if (usePremium) {
      return `Premium report for: ${input.data}`;
    }
    return `Standard report for: ${input.data}`;
  }
}

// Resource gated by feature flag
@Resource({
  uri: 'report://premium-status',
  name: 'Premium Status Report',
  featureFlag: 'premium-reports',
})
class PremiumStatusResource extends ResourceContext {
  async read() {
    return { contents: [{ uri: 'report://premium-status', text: 'Premium data...' }] };
  }
}

// Prompt gated by feature flag
@Prompt({
  name: 'experimental-analysis',
  description: 'Experimental analysis prompt',
  featureFlag: 'experimental-agent',
})
class ExperimentalPrompt extends PromptContext {
  async execute() {
    return { messages: [{ role: 'user' as const, content: { type: 'text' as const, text: 'Analyze...' } }] };
  }
}

@App({
  id: 'flagged-app',
  name: 'Flagged App',
  plugins: [featureFlagPlugin],
  tools: [BetaSearchTool, AlwaysOnTool, AdaptiveTool],
  resources: [PremiumStatusResource],
  prompts: [ExperimentalPrompt],
})
class FlaggedApp {}

@FrontMcp({
  info: { name: 'Feature Flag Server', version: '1.0.0' },
  apps: [FlaggedApp],
  http: { port: 3000 },
})
export default class Server {}

Links & Resources

Source Code

View the feature flags plugin source code

Plugin Guide

Learn more about FrontMCP plugins

Remember Plugin

For session memory storage

Approval Plugin

For tool authorization workflows

​Why Use Feature Flags?

Declarative Gating

Multiple Providers

Per-User Targeting

Execution Gate

​Installation

​How It Works

​Quick Start

​Basic Setup

​Annotating a Tool

​Programmatic Flag Checks

​Adapters

​Static

​Split.io

​LaunchDarkly

​Unleash

​Custom

​Annotating Capabilities

​String Shorthand

​Object Form

​FeatureFlagRef Fields

​Plugin Options

​API Reference

​FeatureFlagAccessor Methods

​Best Practices

​Complete Example

​Links & Resources

Source Code

Plugin Guide

Remember Plugin

Approval Plugin

Why Use Feature Flags?

Installation

How It Works

Quick Start

Basic Setup

Annotating a Tool

Programmatic Flag Checks

Adapters

Static

Split.io

LaunchDarkly

Unleash

Custom

Annotating Capabilities

String Shorthand

Object Form

FeatureFlagRef Fields

Plugin Options

API Reference

FeatureFlagAccessor Methods

Best Practices

Complete Example

Links & Resources