# LSP MCP

> Use this tool when you need to analyze and understand code structure and semantics, providing insights and diagnostics to inform development decisions. It solves problems like code comprehension, error detection, and improvement suggestions through language-aware analysis. The LSP MCP tool accepts code inputs and returns actionable outputs, such as code insights and diagnostics, making it ideal for use cases like integrated development environments and code review workflows.

Canonical page: https://skillsregistry.net/skills/jonrad-lsp-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jonrad-lsp-mcp

## Description

Provides AI agents with language-aware code analysis through the Language Server Protocol, enabling tasks like getting code insights and diagnostics.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mxyriiphv2)
- **Repository:** <https://github.com/jonrad/lsp-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jonrad-lsp-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jonrad-lsp-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jonrad-lsp-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt