No install? Use cloud.anythingmcp.com directly.
Sign in, install the Statsig in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Drive Statsig (feature flags + experiments + analytics) from any AI agent: evaluate gates/dynamic configs/experiments, log events, manage console-side gates and experiments. 10 tools, server-secret-key auth.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Statsig, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Statsig + Gemini
Drive Statsig (feature flags + experiments + analytics) from any AI agent: evaluate gates/dynamic configs/experiments, log events, manage console-side gates and experiments. 10 tools, server-secret-key auth.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
STATSIG_SERVER_SECRET_KEY
Paso 1 — Obtener credenciales
statsig.com).
Two distinct APIs:
- Server SDK API (
api.statsig.com/v1/...) — runtime evaluation + event logging. RequiresSTATSIG_SERVER_SECRET_KEY(starts withsecret-). - Console API (
statsigapi.net/console/v1/...) — admin operations like creating gates. RequiresSTATSIG_CONSOLE_API_KEY(starts withconsole-). The adapter uses the Server SDK base by default; tools that hit the Console API set explicit absolute URLs in their endpointMapping.
…(continued in the in-app connector instructions)
Paso 2 — Instalar el adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Paso 3 — Añadir el conector en Gemini
Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
- Guarda el archivo y reinicia
gemini. - Ejecuta
/mcpen la Gemini CLI —Statsigdebería aparecer como disponible. - Vertex AI Studio: pasa
https://cloud.anythingmcp.com/mcpal arraytoolsde tu petición con el mismo header Bearer.
Herramientas disponibles
| Tool | What it does |
|---|---|
statsig_check_gate | Evaluate a feature gate (boolean flag) for a user |
statsig_get_config | Evaluate a Dynamic Config for a user |
statsig_get_experiment | Evaluate an experiment for a user |
statsig_initialize | Bulk evaluate ALL gates/configs/experiments for a user in one call |
statsig_log_event | Log a custom event for analytics + experiment exposure tracking |
statsig_list_gates | Console: list feature gates defined in the project |
statsig_get_gate_config | Console: fetch a gate's definition (rules, targeting) |
statsig_create_gate | Console: create a new feature gate |
statsig_list_experiments | Console: list experiments |
statsig_get_experiment_results | Console: fetch experiment metric results (pulse readout) |
FAQ
¿Gemini 1.5 Pro o 2.x soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.
Siguientes pasos
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