Claude Team MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | No | Gemini API Key for fast tasks (optional) | |
| OPENAI_API_KEY | No | OpenAI API Key for balanced tasks (optional) | |
| ANTHROPIC_API_KEY | No | Anthropic API Key for powerful tasks (optional) | |
| CLAUDE_TEAM_MAIN_KEY | Yes | 主模型 API Key (required) | |
| CLAUDE_TEAM_MAIN_URL | No | 主模型 API 地址 (optional) | |
| CLAUDE_TEAM_MAIN_MODEL | No | 主模型 ID (optional, default: gpt-4o) | gpt-4o |
| CLAUDE_TEAM_MODEL1_KEY | No | 模型1 API Key (optional, defaults to MAIN key) | |
| CLAUDE_TEAM_MODEL1_URL | No | 模型1 API 地址 (optional, defaults to MAIN URL) | |
| CLAUDE_TEAM_MODEL2_KEY | No | 模型2 API Key (optional, defaults to MAIN key) | |
| CLAUDE_TEAM_MODEL2_URL | No | 模型2 API 地址 (optional, defaults to MAIN URL) | |
| CLAUDE_TEAM_MODEL3_KEY | No | 模型3 API Key (optional, defaults to MAIN key) | |
| CLAUDE_TEAM_MODEL3_URL | No | 模型3 API 地址 (optional, defaults to MAIN URL) | |
| CLAUDE_TEAM_MODEL1_NAME | No | 模型1 ID (optional) | |
| CLAUDE_TEAM_MODEL2_NAME | No | 模型2 ID (optional) | |
| CLAUDE_TEAM_MODEL3_NAME | No | 模型3 ID (optional) | |
| CLAUDE_TEAM_MAIN_PROVIDER | No | 主模型提供商 (openai | anthropic | gemini) | |
| CLAUDE_TEAM_MODEL1_PROVIDER | No | 模型1提供商 (openai | anthropic | gemini) | |
| CLAUDE_TEAM_MODEL2_PROVIDER | No | 模型2提供商 (openai | anthropic | gemini) | |
| CLAUDE_TEAM_MODEL3_PROVIDER | No | 模型3提供商 (openai | anthropic | gemini) |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| team_workB | 让 AI 开发团队协作完成任务。团队包含前端专家、后端专家、QA专家，会智能分配任务并互相协作。 |
| ask_expertB | 向特定专家咨询问题 |
| code_reviewC | 让专家审查代码 |
| fix_bugD | 让 QA 专家修复 Bug |
| history_listC | 查看团队协作历史记录列表 |
| history_getB | 获取某次协作的详细记录 |
| history_searchC | 搜索协作历史记录 |
| history_contextB | 获取最近的协作上下文，可用于继续之前的工作 |
| usage_statsA | 查看各模型的使用统计（调用次数、成功率、平均耗时） |
| team_dashboardA | 查看团队当前状态：可用专家、模型配置、最近活动 |
| cost_estimateB | 预估任务执行成本（Token 用量、预计耗时） |
| explain_planB | 解释 Tech Lead 会如何分配任务（不实际执行） |
| read_project_filesC | 读取项目文件内容，让专家了解代码上下文 |
| generate_commit_messageC | 根据代码变更生成 Git commit message |
| analyze_project_structureB | 分析项目结构，识别技术栈和架构 |
| list_workflowsA | 列出所有可用的工作流模板 |
| run_workflowB | 使用指定工作流执行任务 |
| suggest_workflowB | 根据任务自动推荐合适的工作流 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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