LiDAR Harness MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| harness_initA | Initialize LiDAR Harness for a project: detect typecheck/lint commands, establish baselines, classify task complexity. Call this ONCE at the start of a session. Provide the user's task message for complexity classification. Returns: session info with detected commands, complexity, and PGO readiness. |
| harness_classifyA | Classify a task as "simple" (question, explanation) or "complex" (implementation, refactor, fix). Simple tasks skip PGO and review overhead entirely. Call before starting work. |
| harness_pgoA | Run incremental PGO (Pose Graph Optimization) typecheck/lint verification. KEY CONCEPT: Only returns NEW errors not seen in previous calls. If you call it 10 times, each call only shows errors that appeared SINCE the last call. When it returns 0 new errors, the code compiles cleanly. Use after each agent turn that modifies code to verify incrementally. |
| harness_reviewA | Run multi-perspective code review: security scan (secrets in git diff), correctness (uncommitted changes), style (lint results). Call periodically (e.g. every 3rd turn) to catch issues the agent might miss. |
| harness_resetA | Reset PGO baselines and shown-errors state for a fresh start. Call when switching to a new task or after significant dependency changes. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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