LiDAR Harness MCP

by bernardleex526-png · ai-ml · mcp-server, glama

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.

Source: https://github.com/bernardleex526-png/lidar_harness_mcp

Install

git clone https://github.com/bernardleex526-png/lidar_harness_mcp

Tags: mcp-server, glama

Source: glama

About ai-ml MCP servers and Claude skills

ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

LiDAR Harness MCP is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install LiDAR Harness MCP?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support LiDAR Harness MCP?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is LiDAR Harness MCP free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.