{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_8f7b2hu57h68","handle":"lingflow-mcp","url":"https://wellknown.network/agents/lingflow-mcp","links":{"self":"https://wellknown.network/agents/lingflow-mcp/record.json","html":"https://wellknown.network/agents/lingflow-mcp","markdown":"https://wellknown.network/agents/lingflow-mcp/record.md","api":"https://wellknown.network/api/v1/agents/lingflow-mcp","status":"https://wellknown.network/api/v1/agents/lingflow-mcp/status","claim":"https://wellknown.network/agents/lingflow-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/lingflow-mcp/claim.json","badge":"https://wellknown.network/agents/lingflow-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/lingflow-mcp/history","tools":"https://wellknown.network/api/v1/agents/lingflow-mcp/tools"},"ard":{"identifier":"urn:air::server:lingflow-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"lingflow-mcp","summary":"LingFlow MCP Server - 将 LingFlow 工程流能力暴露为 MCP 工具（Phase 3 完成，21个工具，8个功能域）","description":"# LingFlow MCP Server v1.3.0\n\n将 LingFlow v3.7.0 的工程流能力封装为 [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) 服务器，使 AI 助手（Claude Desktop、Cursor 等）可直接调用 LingFlow 功能。\n\n**版本**: v1.3.0 (Phase 3 完成)\n**状态**: ✅ 生产就绪\n**工具数量**: 21 个\n**功能域**: 8 个\n**测试通过率**: 80% (Phase 3), 100% (Phase 1+2)\n\n## 🎯 什么是 MCP？\n\nMCP 是 Anthropic 推出的标准化协议，允许 AI 应用通过统一接口调用外部工具。将 LingFlow 封装为 MCP 服务器后：\n\n- ✅ **零集成接入**：任何支持 MCP 的 AI 客户端可直接使用\n- ✅ **自然语言交互**：无需学习命令行语法\n- ✅ **生态融合**：可与其他 MCP 服务器协同工作\n\n## 🚀 快速开始\n\n### 安装\n\n```bash\n# 从 PyPI 安装 LingFlow\npip install lingflow-core\n\n# 安装 MCP SDK\npip install mcp\n\n# 安装 LingFlow MCP Server\ncd mcp_server\npip install -e .\n```\n\n### 启动服务器\n\n```bash\n# 基础启动\nlingflow-mcp run\n\n# 自定义配置\nlingflow-mcp run --work-dir /path/to/project --log-level DEBUG\n```\n\n### 查看可用工具\n\n```bash\nlingflow-mcp tools\n```\n\n### 测试连接\n\n```bash\nlingflow-mcp test\n```\n\n## 🛠️ 可用工具\n\n### Phase 1: 高优先级工具 (P0) ✅\n\n| 工具名称 | 描述 | 分类 |\n|---------|------|------|\n| `list_skills` | 列出所有可用技能（8个内置） | 查询 |\n| `run_skill` | 执行指定技能 | 执行 |\n| `review_code` | 8维度代码审查 | 审查 |\n| `get_github_trends` | 采集 GitHub 趋势项目 | 情报 |\n| `get_npm_trends` | 采集 npm 趋势包 | 情报 |\n\n### Phase 2: 中优先级工具 (P1) ✅\n\n**工作流管理**:\n| 工具名称 | 描述 | 新增 |\n|---------|------|------|\n| `list_workflows` | 列出所有工程流（15+），支持过滤 | ⭐ |\n| `run_workflow` | 执行工程流（异步，支持3种策略） | ⭐ |\n| `get_workflow_status` | 获取工作流详细状态 | 🆕 |\n\n**需求管理**:\n| 工具名称 | 描述 | 新增 |\n|---------|------|------|\n| `create_requirement` | 创建需求（支持分类和标签） | ⭐ |\n| `get_requirement` | 获取需求详情 | ✅ |\n| `update_requirement` | 更新需求信息 | 🆕 |\n| `list_requirements` | 列出需求（支持过滤和分页） | 🆕 |\n| `link_requirement_to_branch` | 关联需求到 Git 分支 | 🆕 |\n\n**异步任务**:\n| 工具名称 | 描述 | 新增 |\n|---------|------|------|\n| `get_task_status` | 查询异步任务状态 | ✅ |\n| `list_tasks` | 列出所有异步任务 | 🆕 |\n\n**总计**: **15 个工具**\n\n### Phase 3: 运维监控工具 (P2) ✅\n\n**测试运行**:\n| 工具名称 | 描述 | 新增 |\n|---------|------|------|\n| `run_tests` | 运行测试套件（支持单元/集成测试） | ⭐ |\n| `get_coverage` | 获取测试覆盖率（支持多种格式） | ⭐ |\n| `generate_test_report` | 生成测试报告（Markdown/JSON/HTML） | ⭐ |\n\n**运维监控**:\n| 工具名称 |…","publisher":null,"homepage":"https://github.com/guangda88/LingFlow/blob/main/mcp_server/README.md","repository":"https://github.com/guangda88/LingFlow/issues","version":"1.3.0","license":"MIT","protocols":["mcp"],"tags":["mcp","lingflow","ai","workflow","automation","claude","anthropic","model-context-protocol"],"pricing":null,"endpoints":[{"url":"pypi:lingflow-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"},{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.722,"provenance":"derived"}],"categories":["dev"],"language":"fr"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; 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