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.
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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