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Glama

Gemini MCP

by emmron

mcp__gemini__system_status

Monitor and analyze Gemini MCP server capabilities, performance metrics, AI model health, and cache statistics for optimal system insights.

Instructions

Comprehensive system status showing all capabilities and performance metrics

Input Schema

NameRequiredDescriptionDefault
include_cache_statsNoInclude cache statistics
include_model_healthNoInclude AI model health
include_performanceNoInclude performance metrics

Input Schema (JSON Schema)

{ "$schema": "https://json-schema.org/draft/2020-12/schema", "properties": { "include_cache_stats": { "default": true, "description": "Include cache statistics", "type": "boolean" }, "include_model_health": { "default": true, "description": "Include AI model health", "type": "boolean" }, "include_performance": { "default": true, "description": "Include performance metrics", "type": "boolean" } }, "required": [], "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/emmron/gemini-mcp'

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