@friday-ai-codes/mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@friday-ai-codes/mcpsearch for code related to error handling and create a coding plan"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@friday-ai-codes/mcp
Friday AI 的 MCP(Model Context Protocol)server。把 Friday 的代码索引、Graph RAG、编码计划与 PR / MR 工具暴露给 Cursor / Claude Code / Codex 等 AI 编码助手。
配置
在 Friday Web 控制台「个人资料 → 访问令牌」创建 PAT(明文只显示一次),然后:
npx -y @friday-ai-codes/mcp init --base-url https://friday.example.com --token <你的访问令牌>配置写入 ~/.friday/config.json(权限 0600)。也可以用环境变量 FRIDAY_BASE_URL / FRIDAY_ACCESS_TOKEN 覆盖。
Related MCP server: repowise
注册到 IDE
Claude Code:
claude mcp add friday -- npx -y @friday-ai-codes/mcpCursor(.cursor/mcp.json 或 ~/.cursor/mcp.json):
{
"mcpServers": {
"friday": { "command": "npx", "args": ["-y", "@friday-ai-codes/mcp"] }
}
}Codex(~/.codex/config.toml):
[mcp_servers.friday]
command = "npx"
args = ["-y", "@friday-ai-codes/mcp"]命令
命令 | 作用 |
| 启动 stdio MCP server |
| 写入配置并校验连通性 |
| 检查当前配置与连通性(不回显令牌) |
工具集
19 个工具,对应 Friday /api/mcp/tools/* 端点:仓库发现(route_repositories)、Graph RAG 检索(search_rag_chunks、find_related_chunks)、仓库浏览(get_repository / list_repository_files / get_repository_file)、分析与计划(analyze_repository / create_coding_plan / improve_coding_plan)、执行与 MR(execute_coding_plan / get_coding_execution / summarize_branch / create_merge_request)、飞书工作项(get_feishu_work_item_context / create_feishu_technical_plan / create_work_item_repo_tasks / execute_work_item_repo_tasks)、学习案例(create_learning_case / search_learning_cases)。
配合 friday-codebase-agent skill 使用效果最佳:
npx skills add friday-ai-codes/skills --skill friday-codebase-agentLicense
MIT
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