Claude Team MCP
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Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to orchestrate multiple models from different providers within a single conversation, supporting collaborative code review, planning, debugging, and implementation workflows with full context continuity.-
- FlicenseNot gradedqualityAmaintenanceEnables a primary AI assistant to delegate tasks in parallel to specialized coding models like Gemini, Claude, Codex, and Cursor, sharing project context and synthesizing their results through a single interface.-
- FlicenseNot gradedqualityAmaintenanceEnables a primary AI assistant to delegate tasks to specialized AI coding assistants like Codex, Claude Code, Cursor, and Gemini, run them in parallel with shared project context, and synthesize a single response.-
- AlicenseDqualityCmaintenanceEnables Claude Code as a team leader to delegate tasks to GPT and Gemini experts, supporting multi-LLM collaboration with tools for consultation, code review, design, and background execution.7624 npmMIT
- AlicenseNot gradedqualityAmaintenanceConnects multiple AI agents (Codex, Claude Code, Grok, etc.) into a coordinated, auditable team with shared memory, task ownership, and human oversight, enabling parallel collaboration without conflicts.241Apache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables multi-agent AI collaboration by connecting Claude Code, OpenAI Codex, and Google Antigravity, providing cross-model code reviews, independent second opinions, and autonomous validation through MCP tools.1MIT
TDQS
Scored across 18 tools
Most tools have distinct purposes (e.g., analyze_project_structure vs. team_work), but some overlap exists between 'ask_expert', 'code_review', and 'fix_bug' as they all involve expert interaction, though at different stages of development.
Tools predominantly use snake_case with descriptive names (e.g., 'analyze_project_structure', 'generate_commit_message'), but some like 'history_context' and 'team_dashboard' are more noun-centric, breaking the verb_noun pattern slightly.
At 18 tools, the server is slightly above the ideal range of 3-15 but still manageable. The count aligns with the broad scope of team collaboration, workflow management, and history tracking.
The tool set covers key operations for team collaboration (analysis, code review, bug fixing, workflow execution, history) but lacks administrative features like workflow creation or team member management, leaving minor gaps.