jules-mcp
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Related Servers
- AlicenseAqualityCmaintenanceEnables MCP clients to create, monitor, and interact with Google Jules coding sessions via the Jules REST API, while keeping the Jules API key server-side.11MIT
- FlicenseAqualityDmaintenanceEnables LLM applications to interact with Google's Jules AI coding assistant to manage repositories, coding sessions, and pull requests. It allows users to programmatically create tasks, approve plans, and communicate with the assistant during active coding sessions.9-
- AlicenseBqualityCmaintenanceExposes Google Jules AI capabilities for automated coding tasks, including session management, code reviews, and unified diff handling. It enables users to create sessions, approve plans, and synchronize AI-generated code changes with GitHub repositories.2611 npmMIT
- AlicenseAqualityDmaintenanceEnables interaction with Google Jules API to automate software development tasks, such as managing sources, sessions, and activities for AI-powered coding assistance.915 npm6MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that enables users to manage Google's Jules AI coding agent sessions directly from MCP-compatible clients. It supports creating sessions, approving execution plans, and interacting with session activity to streamline autonomous coding workflows.2 npmMIT
- AlicenseAqualityAmaintenanceMCP server that exposes Google Jules AI agent as tools, allowing local AI agents to list authorized repositories and delegate coding tasks to Jules, receiving session URLs for tracking.91MIT
TDQS
Scored across 8 tools
Most tools target distinct actions, but jules_status, jules_activity, and jules_result all retrieve session information and could be confused by an agent. Descriptions clarify granularity, but the boundaries between current state, activities, and full result are not obvious.
All tools share a consistent jules_ prefix and use clear, action-oriented names. Some are verb_noun forms like list_sources and approve_plan, while others are single nouns like status and result, creating minor inconsistency but the pattern remains readable.
With 8 tools, the server is well-scoped for managing Jules coding sessions. Each tool serves a distinct purpose in the workflow without unnecessary bloat.
The core lifecycle is covered: list sources, start a session, approve plans, send feedback, and retrieve results. Minor gaps exist such as no explicit cancel/reject tool, but send feedback likely covers redirection or rejection.