Skip to main content
Glama

Gemini MCP

by emmron
GitHub
JavaScript
GPL 3.0
4
OverviewInspectNewSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

mcp__gemini__team_orchestrator

Coordinate multi-developer workflows with shared AI contexts, enabling efficient collaboration across frontend, backend, and devops roles in agile projects.

Instructions

Multi-developer collaboration with shared AI contexts and workflow coordination

Input Schema

NameRequiredDescriptionDefault
coordination_levelNoCoordination levelhigh
projectYesProject name or description
team_membersNoTeam member roles
workflow_typeNoWorkflow typeagile

Input Schema (JSON Schema)

{ "$schema": "https://json-schema.org/draft/2020-12/schema", "properties": { "coordination_level": { "default": "high", "description": "Coordination level", "type": "string" }, "project": { "description": "Project name or description", "type": "string" }, "team_members": { "default": [ "frontend", "backend", "devops" ], "description": "Team member roles", "items": { "type": "string" }, "type": "array" }, "workflow_type": { "default": "agile", "description": "Workflow type", "type": "string" } }, "required": [ "project" ], "type": "object" }
Install Server

Other Tools from Gemini MCP

Related Tools

    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