Skip to main content
Glama

Gemini MCP

by emmron

mcp__gemini__analyze_intelligence

Analyze code for performance prediction, business impact, and trends. Generate quality metrics and assess project insights using comprehensive AI-powered code intelligence.

Instructions

Deep code analysis with performance prediction, business impact assessment, and trend analysis

Input Schema

NameRequiredDescriptionDefault
analysis_typeNoAnalysis typecomprehensive
generate_metricsNoGenerate quality metrics
include_business_impactNoInclude business impact analysis
performance_predictionNoEnable performance prediction
targetYesCode/project to analyze

Input Schema (JSON Schema)

{ "$schema": "https://json-schema.org/draft/2020-12/schema", "properties": { "analysis_type": { "default": "comprehensive", "description": "Analysis type", "type": "string" }, "generate_metrics": { "default": true, "description": "Generate quality metrics", "type": "boolean" }, "include_business_impact": { "default": true, "description": "Include business impact analysis", "type": "boolean" }, "performance_prediction": { "default": true, "description": "Enable performance prediction", "type": "boolean" }, "target": { "description": "Code/project to analyze", "type": "string" } }, "required": [ "target" ], "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'

If you have feedback or need assistance with the MCP directory API, please join our Discord server