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by bug-ops · MCP Server · ★ 59
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mcpls Stop treating code as text. Give your AI agent a compiler's understanding. mcpls is a universal bridge between AI coding assistants and language servers. It exposes the full power of LSP — type inference, cross-reference analysis, semantic navigation — through the Model Context Protocol, enabling AI agents to reason about code the way IDEs do. Why mcpls? AI coding assistants are remarkably capable, but they're working blind. They see code as text, not as the structured, typed, interconnected system it actually is. mcpls changes that. By bridging MCP and LSP, it gives AI agents access to: Type information — Know exactly what a variable is, not what it might be Cross-references — Find every usage of a symbol across your entire codebase Semantic navigation — Jump to definitions, implementations
| Stars | 59 |
| Forks | 15 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 73.1763608307791/100 |
| Open Issues | 20 |
| Last Updated | 2026-08-12 |
| Created | 2025-12-24 |
| Platforms | cli, mcp, rust |
| Est. Tokens | ~24k |
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mcpls is Universal MCP to LSP bridge - expose Language Server Protocol capabilities as MCP tools for AI agents. It is categorized as a MCP Server with 59 GitHub stars.
mcpls is primarily written in Rust. It covers topics such as ai-agents, ai-tools, cli.
You can find installation instructions and usage details in the mcpls GitHub repository at github.com/bug-ops/mcpls. The project has 59 stars and 15 forks, indicating an active community.
mcpls is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcpls on Agent Skills Hub include agent-lsp, mcp-gopls, Doyunha-Gopeak. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.