No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by isaacphi · MCP Server · ★ 1.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-language-server safe to install? View the security audit →
MCP Language Server This is an MCP server that runs and exposes a language server to LLMs. Not a language server for MCP, whatever that would be. Demo helps MCP enabled clients navigate codebases more easily by giving them access semantic tools like get definition, references, rename, and diagnostics. Setup Install Go: Follow instructions at Install or update this server: Install a language server: follow one of the guides below Configure your MCP client: follow one of the guides below Go (gopls) Install gopls:
| Stars | 1,593 |
| Forks | 146 |
| Language | Go |
| Category | MCP Server |
| License | BSD-3-Clause |
| Quality Score | 70.7177101286652/100 |
| Open Issues | 67 |
| Last Updated | 2026-03-01 |
| Created | 2024-12-30 |
| Platforms | cli, go, mcp |
| Est. Tokens | ~194k |
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mcp-language-server is mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.. It is categorized as a MCP Server with 1.6k GitHub stars.
mcp-language-server is primarily written in Go. It covers topics such as ai, language-server-protocol, mcp.
You can find installation instructions and usage details in the mcp-language-server GitHub repository at github.com/isaacphi/mcp-language-server. The project has 1.6k stars and 146 forks, indicating an active community.
mcp-language-server is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.
The top alternatives to mcp-language-server on Agent Skills Hub include Unity-MCP, jadx-ai-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: