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.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Statsig klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
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.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
STATSIG_SERVER_SECRET_KEY
Schritt 1 — Zugangsdaten holen
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)
Schritt 2 — Adapter installieren
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Schritt 3 — Connector in Gemini hinzufügen
Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
- Speichern und
geminineu starten. /mcpin Gemini CLI ausführen —Statsigsollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare Tools
| 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
Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.
Nächste Schritte
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