ConfigCat MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with ConfigCat MCP or direct API to manage feature flags, inspect rollout rules, update environments, and review configuration settings through natural language.

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ConfigCat is a feature flag management service for rollouts, configs, environments, and team access. Use it to ship safely, test changes, and control releases without redeploying.

10 Tools

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Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
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TOOLS

Supported Tools

Every ConfigCat action and event your agent gets out of the box.

Create Flag or Setting

Create a feature flag or typed setting in a Config.

Delete Flag or Setting

Permanently delete one ConfigCat feature flag or setting by ID.

Get Product Context

Return a ConfigCat Product's configs, environments, segments, and tags, including the identifiers and evaluation versions needed to manage flags and targeting.

Get Environment Setting Value V2

Get one Config V2 flag or setting's complete evaluation formula in an Environment, including its optimistic-concurrency version.

List Account Hierarchy

List accessible ConfigCat organizations and products so an agent can resolve the IDs needed by product-scoped tools.

List Environment Values V2

Return every Config V2 feature flag and setting evaluation formula for one Config and Environment, preserving ordered targeting rules and concurrency versions while omitting parent objects and updater data.

List Flags and Settings

List feature flags and settings in one Config, including IDs, keys, types, tags, and metadata needed by value operations.

Patch Environment Setting Value V2

Update selected typed fields of one Config V2 evaluation formula while preserving every field the caller omits.

Replace Environment Setting Value V2

Completely replace one Config V2 flag or setting evaluation formula in an Environment.

Update Flag Metadata

Partially update a flag or setting's name, hint, or complete tag assignment without resetting untouched metadata.

SETUP GUIDE

Connect ConfigCat MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
Install the Composio SDK for Python or TypeScript
2

Initialize Client and Create Tool Router Session

typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
Import and initialize the Composio client, then create a Tool Router session for ConfigCat
3

Connect to AI Agent

typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Show me the rollout rules for the checkout feature flag in ConfigCat'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
Use the MCP server with your AI agent (Anthropic Claude or Mastra)
SETUP GUIDE

Connect ConfigCat API Tool with your Agent

1

Install Composio

typescript
npm install @composio/openai
Install the Composio SDK
2

Initialize Composio and Create Tool Router Session

typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
Import and initialize Composio client, then create a Tool Router session
3

Execute ConfigCat Tools via Tool Router with Your Agent

typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'List all ConfigCat feature flags in the Production environment'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
Get tools from Tool Router session and execute ConfigCat actions with your Agent

Why Use Composio?

AI Native ConfigCat Integration

  • Supports both ConfigCat MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable feature flag actions
  • Rich coverage for reading, writing, and querying ConfigCat flags, configs, environments, and permissions

Managed Auth

  • Secure API key handling so you don't have to hard-code ConfigCat credentials in agent code
  • Central place to manage, scope, and revoke ConfigCat access
  • Per user and per environment credentials for safer rollout workflows

Agent Optimized Design

  • Tools are tuned for AI agents, so prompts like “list production flags” map cleanly to ConfigCat actions
  • Clear schemas help agents avoid risky flag updates and ask for missing details when needed
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access ConfigCat
  • Scoped, least privilege access to ConfigCat resources like products, configs, and environments
  • Full audit trail of agent actions to support rollout reviews and compliance
FRAMEWORKS

Use ConfigCat with any AI Agent Framework

Choose a Framework you want to connect ConfigCat with

FAQ

Frequently asked questions

Yes, ConfigCat requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

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