# Statsig MCP Server

> Use this tool when you need to integrate AI assistants with feature management and experimentation capabilities, enabling them to check feature flags, retrieve configurations, and log events. It solves problems related to dynamic feature rollouts, experimentation, and data-driven decision making. The tool accepts inputs such as feature flag checks and event logs, and outputs experiment assignments and configuration data.

Canonical page: https://skillsregistry.net/skills/geli2001-statsig-mcp  
JSON: https://api.skillsregistry.net/v1/skills/geli2001-statsig-mcp

## Description

Enables AI assistants to interact with Statsig's feature management and experimentation platform, allowing them to check feature flags, retrieve configurations, get experiment assignments, and log events.

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jk1q84wndk)
- **Repository:** <https://github.com/GeLi2001/statsig-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "geli2001-statsig-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/geli2001-statsig-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/geli2001-statsig-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt