# LSP MCP RS

> Use this tool when you need to integrate multiple language servers into a single interface for streamlined code navigation and analysis. It solves problems of language server management and code tooling by providing features like hover documentation, go-to-definition, and diagnostics through a configurable file extension mapping. Ideal for use in development environments where multiple programming languages are used, it accepts file extension inputs and outputs code navigation and analysis results.

Canonical page: https://skillsregistry.net/skills/stryk91-lsp-mcp-rs  
JSON: https://api.skillsregistry.net/v1/skills/stryk91-lsp-mcp-rs

## Description

A Rust-based MCP server that bridges to Language Server Protocol (LSP) implementations. Supports multiple language servers through a single binary with config-driven file extension mapping. Provides tools for code navigation including hover documentation, go-to-definition, find references, symbol extraction, and diagnostics. LSP servers spawn on first use and remain active for performance.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stryk91-lsp-mcp-rs)
- **Repository:** <https://github.com/stryk91/lsp-mcp-rs>

## 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": "stryk91-lsp-mcp-rs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stryk91-lsp-mcp-rs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stryk91-lsp-mcp-rs/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
