LiDAR Harness MCP

LiDAR Harness MCP

An incremental validation engine that acts as a pluggable MCP middleware for code agents like Claude Code and OpenCode, reducing context overhead by 60-80% through a PGO-inspired four-layer verification architecture.

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README

LiDAR Harness MCP

增量验证引擎 — 作为可插拔 MCP 中间件,用于 Claude Code、OpenCode 等代码代理。

受 SLAM 建图中 PGO(位姿图优化)启发,LiDAR Harness 提供四层验证架构,在不增加每轮上下文负担的前提下,确保 agent 输出的代 码质量。


核心概念

大多数代码 agent 的工作方式是:每轮修改代码后,全量运行 tsc / lint,把全部错误注入回上下文。这在 10 轮以上的任务中 会浪费大量 token。

LiDAR Harness 的 PGO(Pose Graph Optimization)引擎采用 增量机制:

首次:  tsc --noEmit  → 发现 7 个错误  → 全部注入
第 2 轮: 修复了 3 个 → 剩余 4 个已知,0 个新增 → 不注入,agent 不被打断
第 3 轮: 引入了 1 个新错误 → 只注入这 1 个新错误
...

效果:上下文占用减少 60-80%,agent 不会被已知错误反复打断。


功能

工具 用途 典型时机
harness_init 初始化项目,自动检测 typecheck/lint 命令,建立基线 会话开始一次
harness_classify 判断任务是 "simple"(问答)还是 "complex"(编码) 用户发消息后
harness_pgo 增量检查 — 只返回新出现的 typecheck/lint 错误 每轮修改代码后
harness_review 多视角代码审查(安全扫描、正确性、风格) 每 3 轮
harness_reset 重置 PGO 状态 切换任务时

架构

Model completes a turn (modifies code)
       │
       ▼
  ┌──────────────────────┐
  │ Layer 0: Gate        │  ─── 简单任务(问答/解释)→ 跳过后续所有验证
  └────────┬─────────────┘
           ▼
  ┌──────────────────────┐
  │ Layer 2: PGO         │  ─── typecheck + lint,增量注入(核心功能)
  └────────┬─────────────┘
           ▼
  ┌──────────────────────┐
  │ Layer 3: MultiReview │  ─── 安全/正确性/风格(每 3 轮)
  └──────────────────────┘

快速开始

前提

  • Node.js >= 18
  • 一个 MCP 客户端(Claude Code、OpenCode、或任何 MCP 兼容工具)

安装

git clone https://github.com/bernardleex526-png/lidar_harness_mcp.git
cd lidar_harness_mcp
npm install
npm run build

集成到 Claude Code

在项目 .claude/settings.local.json 中添加:

{
  "mcpServers": {
    "lidar-harness": {
      "command": "node",
      "args": ["/path/to/lidar_harness_mcp/dist/index.js"]
    }
  }
}

重启 Claude Code 后,5 个工具会自动可用。

集成到 OpenCode

OpenCode 也支持 MCP Server,配置方法与 Claude Code 类似。在 OpenCode 的 MCP 配置中添加:

{
  "mcpServers": {
    "lidar-harness": {
      "command": "node",
      "args": ["/path/to/lidar_harness_mcp/dist/index.js"]
    }
  }
}

直接测试

MCP Server 通过 stdio 通信,可以用 JSON 直接测试:

# 列出工具
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node dist/index.js

# 初始化项目
echo '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"harness_init","arguments":{"cwd":"/your/project","ta
skMessage":"fix the build"}}}' | node dist/index.js

工作流程示例

在 Claude Code 中的典型用法

User: 帮我重构这个模块
Claude: [调用 harness_init 初始化,检测到 tsc 和 lint]
Claude: [完成任务,调用 harness_pgo 检查]
Claude: → 编译通过,无新错误
Claude: 重构完成。

User: 添加一个 API 端点
Claude: [修改代码,调用 harness_pgo]
Claude: → 发现 2 个新类型错误,需要修复
Claude: [修复错误,再次调用 harness_pgo]
Claude: → 0 个新错误,编译通过

循环检测(可选)

PGO 还内置了单调收敛保证:

  • shownErrors 集合只增不减
  • 每轮只展示 agent 未见过的新错误
  • 当 unseenSigs.length === 0 时停止,数学保证必然收敛

自动检测支持的语言

语言 检测文件 默认命令
TypeScript tsconfig.json npx tsc --noEmit, npm run lint(如果有 lint script)
Go go.mod go vet ./...
Rust Cargo.toml cargo check
Java (Maven) pom.xml mvn compile -q
Java (Gradle) build.gradle gradle build -q

也可以手动传入任意验证命令。


项目结构

lidar-harness-mcp/
├── src/
│   ├── index.ts           # MCP Server 入口,工具注册
│   └── harness/
│       ├── pgo.ts         # PGO 增量验证引擎
│       ├── review.ts      # 多视角代码审查
│       └── gate.ts        # 复杂度门控
├── package.json
├── tsconfig.json
└── README.md

零运行时依赖(除 @modelcontextprotocol/sdk 外)。


License

MIT

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