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by ktnyt · MCP Server · ★ 675
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🔒 Is cclsp safe to install? View the security audit →
cclsp - not your average LSP adapter cclsp is a Model Context Protocol (MCP) server that seamlessly integrates LLM-based coding agents with Language Server Protocol (LSP) servers. LLM-based coding agents often struggle with providing accurate line/column numbers, which makes naive attempts to integrate with LSP servers fragile and frustrating. cclsp solves this by intelligently trying multiple position combinations and providing robust symbol resolution that just works, no matter how your AI assistant counts lines. Setup & Usage Demo https://github.com/user-attachments/assets/52980f32-64d6-4b78-9cbf-18d6ae120cdd Table of Contents Why cclsp? Features 📋 Prerequisites ⚡ Setup [Automated
| Stars | 675 |
| Forks | 54 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.8642514084538/100 |
| Open Issues | 25 |
| Last Updated | 2026-02-22 |
| Created | 2025-06-24 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~21k |
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cclsp is Claude Code LSP: enhance your Claude Code experience with non-IDE dependent LSP integration.. It is categorized as a MCP Server with 675 GitHub stars.
cclsp is primarily written in TypeScript. It covers topics such as claude, claude-code, lsp.
You can find installation instructions and usage details in the cclsp GitHub repository at github.com/ktnyt/cclsp. The project has 675 stars and 54 forks, indicating an active community.
cclsp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cclsp on Agent Skills Hub include google_workspace_mcp, MeiGen-AI-Design-MCP, mysql_mcp_server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: