Statsig MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Statsig MCP or direct API to manage experiments, create feature gates, update dynamic configs, and read metrics through natural language.

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Statsig MCP is a feature experimentation platform exposing experiments, feature gates, dynamic configs, layers, metrics, segments, and observability workflows. Use it to safely rollout features, measure impact, and iterate quickly.

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TOOL ROUTER PLAYGROUND
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TOOLS

Supported Tools

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

Approve autotune review

Approve an in-flight review of an autotune experiment.

Approve dynamic config review

Approve an in-flight review of a dynamic config.

Approve experiment review

Approve an in-flight review of an experiment (A/B test).

Approve gate review

Approve an in-flight review of a gate (feature flag).

Cancel autotune review

Cancel (withdraw) an in-flight review of an autotune experiment.

Cancel dynamic config review

Cancel (withdraw) an in-flight review of a dynamic config.

Cancel experiment review

Cancel (withdraw) an in-flight review of an experiment (A/B test).

Cancel gate review

Cancel (withdraw) an in-flight review of a gate (feature flag).

Cluster log patterns

Cluster similar log lines into templates (same as `statsig-query log-patterns`).

Commit autotune review

Commit a review of an autotune experiment, APPLYING its proposed change to the live autotune.

Commit dynamic config review

Commit a review of a dynamic config, APPLYING its proposed change to the live config.

Commit experiment review

Commit a review of an experiment (A/B test), APPLYING its proposed change to the live experiment.

Commit gate review

Commit a review of a gate (feature flag), APPLYING its proposed change to the live gate.

Create autotune

Create an Autotune (multi-armed bandit) experiment that automatically shifts traffic toward the best-performing variant.

Create autotune review

Open a review proposing a change to an autotune experiment.

Create dynamic config

Create a new Dynamic Config (static, targetable JSON object) in the Statsig console, including targeting rules, its ID (how we'll refer to it in-code) and its IDtype, which it'll randomize users on.

Create dynamic config review

Open a review proposing a change to a dynamic config.

Create experiment

Create an experiment, including its ID (which is how we refer to it in-code), its groups (test/control, and return values) and the ID type it should randomize users on.

Create experiment review

Open a review proposing a change to an experiment (A/B test).

Create gate

Create a new gate (feature flag), including its rules (who should pass it) its ID (how we'll refer to it in-code) and its IDtype, which it'll randomize users on.

Create gate review

Open a review proposing a change to a gate (feature flag).

Create layer

Create a new layer, including its name, ID type, and optional target apps or team ownership.

Create param store

Create a new Param Store (a reusable, named collection of typed parameters) in this Statsig project.

Create segment

Create a new segment, including its name, type, optional ID, ID type, and rules for rule-based segments.

Delete experiment

Delete an experiment (A/B test) by ID.

Delete param store

Delete a Param Store by name.

Edit autotune review

Edit an in-flight autotune review's metadata — description and/or requested reviewers.

Edit dynamic config review

Edit an in-flight dynamic config review's metadata (description, requested reviewers) and/or its proposed `change`.

Edit experiment review

Edit an in-flight experiment (A/B test) review's metadata — description and/or requested reviewers.

Edit gate review

Edit an in-flight gate (feature flag) review's metadata (description, requested reviewers) and/or its proposed `change`.

Fetch

Fetch the full document for a search result id.

Get audit logs

List audit logs for this Statsig project.

Get autotune eligible reviewers

List the users and reviewer groups eligible to approve/reject a review of this autotune experiment.

Get autotune review by id

Get a single review for an autotune experiment by its review ID, including its status, proposed change type, author, and requested reviewers.

Get dynamic config details by id

Get the details (including rules, return values, and more) for a Dynamic Config (static, targetable JSON) in the Statsig console.

Get dynamic config eligible reviewers

List the users and reviewer groups eligible to approve/reject a review of this dynamic config.

Get dynamic config review by id

Get a single review for a dynamic config by its review ID, including its status, proposed change, author, and requested reviewers.

Get dynamic config version history

List historical versions of a Dynamic Config (static, targetable JSON object) to reconstruct a timeline of how it changed — rules, return values, defaults, and metadata across edits.

Get experiment details by id

Get details including parameters (return values), groups, status & more of an experiment in Statsig.

Get experiment eligible reviewers

List the users and reviewer groups eligible to approve/reject a review of this experiment (A/B test).

Get experiment metric dimension results

Get topline and dimensional breakdown results for one specific experiment metric.

Get experiment overall results

Get overall pulse results for an experiment across all pulse metrics.

Get experiment review by id

Get a single review for an experiment (A/B test) by its review ID, including its status, proposed change type, author, and requested reviewers.

Getexperimentsummarycharts

Get Experiment Summary charts and underlying data.

Get experiment version history

List historical versions of an experiment (AB Test) to reconstruct a timeline of how it changed — groups, allocation, status, parameters, and metadata across edits.

Get gate details by id

Get all details about a gate (feature flag) like its rules, idType, and more, from the Statsig Console.

Get gate eligible reviewers

List the users and reviewer groups eligible to approve/reject a review of this gate (feature flag).

Get gate results

Get the metric results for a given gate and rule in the gate

Get gate review by id

Get a single review for a gate (feature flag) by its review ID, including its status, proposed change, author, and requested reviewers.

Get gate version history

List historical versions of a gate (feature flag) to reconstruct a timeline of how it changed — rules, IDtype, enabled state, and metadata across edits.

Get layer details by id

Get all details about a layer, including its parameters and metadata, from the Statsig Console.

Get layer experiments

List the experiments in a layer, including each experiment's allocation and groups within the layer.

Get layer overrides

Get the conditional and ID overrides configured for a layer in the Statsig Console.

Get list of autotune reviews

List the reviews for an autotune experiment, newest first.

Get list of dynamic config reviews

List the reviews for a dynamic config, newest first.

Get list of dynamic configs

List all Dynamic Configs (static, targetable JSON objects) in this Statsig project.

Get list of experiment reviews

List the reviews for an experiment (A/B test), newest first.

Get list of experiments

List all experiments (AB Tests) in this Statsig project.

Get list of gate reviews

List the reviews for a gate (feature flag), newest first.

Get list of gates

List all gates (feature flags) in this Statsig project.

Get list of layers

List all layers in this Statsig project.

Get list of metrics

List all metrics in this Statsig project.

Get list of metric sources

List all metric sources in this Statsig project.

Get list of param stores

List param stores in this Statsig project.

Get list of segments

List all segments in this Statsig project.

Get list of tags

List all tags in this Statsig project, returning each tag's id and name.

Get metric definition by id

Get the full definition for a metric in Statsig, including its type, source, and configuration details.

Get param store details by id

Get a param store by name, including its description, typed parameters, and metadata.

Get segment by id

Get all details about a segment in the Statsig Console.

Get tool schema

Get the full input schema, description, and annotations for any Statsig MCP tool by name — including tools not shown in the default tool list (find them with Search_Tools).

Invoke tool

Execute any Statsig MCP tool by name with arguments — including tools not shown in the default tool list.

Query logs explorer

Fetch log lines from Statsig Logs Explorer (MCP equivalent of `statsig-query logs`).

Reject autotune review

Reject an in-flight review of an autotune experiment.

Reject dynamic config review

Reject an in-flight review of a dynamic config.

Reject experiment review

Reject an in-flight review of an experiment (A/B test).

Reject gate review

Reject an in-flight review of a gate (feature flag).

Search

Search the Statsig MCP data source and return relevant results.

Search tools

Search the full catalog of Statsig MCP tools by keyword.

Start experiment code cleanup

Start code cleanup for a stale experiment by name, which creates a PR to remove the experiment from your codebase.

Start gate code cleanup

Start code cleanup for a gate by name, which creates a PR to remove the gate from your codebase.

Update dynamic config entirely

Fully update a dynamic config, replacing everything the dynamic config currently has on the Statsig console with the data included in this POST request.

Update experiment entirely

Fully update an experiment, replacing everything the experiment currently has on the Statsig console with the data included in this POST request.

Update gate entirely

Fully update a gate, replacing everything the gate currently has on the Statsig console with the data included in this POST request.

Update layer entirely

Fully update a layer, replacing everything the layer currently has on the Statsig console with the data included in this POST request.

Update param store

Update an existing Param Store by name.

Update segment

Update a Statsig segment using the appropriate segment endpoint.

SETUP GUIDE

Connect Statsig 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 Statsig MCP
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: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
  maxSteps: 5,
});

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

Connect Statsig MCP 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 Statsig MCP 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: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
Get tools from Tool Router session and execute Statsig MCP actions with your Agent

Why Use Composio?

AI Native Statsig MCP Integration

  • Supports both Statsig MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Statsig MCP data

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Statsig MCP access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • 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 Statsig MCP
  • Scoped, least privilege access to Statsig MCP resources
  • Full audit trail of agent actions to support review and compliance
FRAMEWORKS

Use Statsig MCP with any AI Agent Framework

Choose a Framework you want to connect Statsig MCP with

FAQ

Frequently asked questions

Yes, Statsig MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles secure credential storage and management 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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