Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Universal MCP to LSP bridge exposing language server code intelligence as MCP tools
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
作者没有在注册中心列出安装信息。请查看下方作者的 README。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 bug-ops 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.9.1)于4天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Rust。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Give your AI coding agent a compiler's understanding of your code.
mcpls is a bridge between the Model Context Protocol (MCP) and the Language Server Protocol (LSP). It runs the language servers for your project (rust-analyzer, pyright, gopls, and others) and exposes their type information, references, diagnostics and refactoring as 31 MCP tools, so an AI client reasons about code the way an IDE does.
flowchart LR
C["AI client"] <-->|MCP| M["mcpls"] <-->|LSP| S["rust-analyzer / pyright / gopls / ..."]
The full documentation is the mcpls book: [https://bug-ops.github.io/mcpls/](https://bug-ops.github.io/mcpls/)
| Topic | Chapter |
|---|---|
| Install and first run | Installation |
| Connect Claude Code or another client | Connect an AI Client |
| Configure language servers | Configuration |
| All 31 tools | Tools Overview |
| Something does not work | Troubleshooting |
| HTTP transport and allowlists | Transports |
| Security model and untrusted workspaces | Security and Trust |
| Every flag and config key | Reference |
Linux and macOS:
curl -fsSL https://raw.githubusercontent.com/bug-ops/mcpls/main/scripts/install.sh | sh
Windows (PowerShell):
irm https://raw.githubusercontent.com/bug-ops/mcpls/main/scripts/install.ps1 | iex
Or with Cargo:
cargo install mcpls
Prebuilt archives for Linux, macOS and Windows (x86_64 and aarch64) with SHA256 checksums and build-provenance attestations are on GitHub Releases.
mcpls is also listed in the official MCP Registry as io.github.bug-ops/mcpls (cargo package, stdio transport), so registry-aware clients can discover it there. The listing installs the same crate as cargo install mcpls.
You also need at least one language server, for example rustup component add rust-analyzer. See Installation for other methods and servers.
Register mcpls with Claude Code:
claude mcp add --scope user mcpls -- mcpls
Then ask about your code:
You: What is the return type of process_request?
Claude: [get_hover] It returns Result .
You: Find everywhere ApiError::Timeout is handled. Claude: [get_references] Found 4 matches: src/handlers/api.rs:89, ...
Rust projects need no configuration. Other languages and clients are covered in the book.
unsafe code; release archives carry build-provenance attestationsLanguage servers run code that comes with the workspace, and mcpls does not sandbox them. Read SECURITY.md and the Security and Trust chapter before pointing mcpls at code you did not write.
skills/mcpls is a packaged Agent Skill that teaches an AI coding agent to install, configure and run mcpls.
cargo build
cargo nextest run --workspace --all-features
Requires Rust 1.99 or later (edition 2024). The book lives in book/ and is built with mdBook. See CONTRIBUTING.md.
Participation is governed by the Code of Conduct. Accessibility of the output and documentation is described in ACCESSIBILITY.md.
Dual-licensed under Apache 2.0 or MIT at your option.