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MCP server for Cangjie programming language - documentation search and code intelligence

Project description

Cangjie MCP Server

CI PyPI Python Versions GitHub Release License

仓颉编程语言的 MCP (Model Context Protocol) 服务器,提供文档搜索和代码智能功能。

功能

  • 文档搜索: 基于向量检索的仓颉语言文档搜索
  • 代码智能: 基于 LSP 的跳转定义、查找引用、悬停信息等功能
  • 可选远程文档服务: 支持连接远程文档/索引服务,减少本地资源占用,适合开箱即用或团队共享

安装

你可以根据偏好的包管理器,选择通过 PyPI (Python) 或 npm (Node.js) 进行安装。

通过 PyPI 安装 (Python)

pip install cangjie-mcp

安装并指定 Rust feature

当平台没有预编译 wheel,或你希望按需启用 GPU/NPU 等加速后端时,可强制从 sdist 构建并传入 maturin 构建参数:

pip install --no-binary cangjie-mcp cangjie-mcp \
  --config-settings=build-args="--features local"

可用 feature(传给 cangjie-mcp-cli):

  • local:本地向量化(CPU;默认构建的二进制已启用)
  • legacy:本地向量化改用 ort-tract 后端(适配旧 glibc 构建)
  • local-cuda / local-cudnn:启用 CUDA/CUDNN 后端
  • local-metal:启用 Apple Metal 后端
  • local-mkl / local-accelerate:启用 MKL / Accelerate 后端

通过 npm 安装 (Node.js)

npm install -g cangjie-mcp

npm 默认优先使用预编译二进制;当当前平台没有匹配包,或 Linux 的 glibc 低于 2.28 时,会自动回退到本地源码构建。你也可以显式强制源码构建:

CANGJIE_MCP_FORCE_BUILD=1 npm install -g cangjie-mcp

架构

cangjie-mcp 支持两种运行模式:

本地模式(默认)

MCP 服务器在本地加载检索索引(BM25 + 向量索引),直接处理查询。

cangjie-mcp               # 或 uvx cangjie-mcp

远程服务模式(可选)

如果你不想在本机下载/加载向量模型与索引(或希望多人/多台机器共享同一套索引),可以把检索能力独立部署为 cangjie-mcp-server,同时对外提供:

  • HTTP 查询 API,供本地 cangjie-mcp --server-url 连接(LSP 工具仍在本地可用)
  • Remote MCP 端点,MCP 客户端无需本地运行 cangjie-mcp 即可直接连接

注意cangjie-mcp-server 为独立二进制,不随 PyPI / npm 发行,需单独从源码构建。Remote MCP 模式下 LSP 工具(cangjie_lsp)不可用 —— 它依赖本地文件系统和仓颉 SDK,仅在 stdio 模式(cangjie-mcp)中提供。

# 启动服务器(同时暴露 HTTP API、Streamable HTTP MCP、SSE MCP)
cangjie-mcp-server --embedding local --port 8765

# 方式 A:本地 stdio MCP 连接远程索引(保留 LSP)
cangjie-mcp --server-url http://localhost:8765

# 方式 B:客户端直接连接 Remote MCP(无需本地进程)
#   Streamable HTTP: http://localhost:8765/mcp
#   SSE:             http://localhost:8765/sse

快速配置

项目提供两部分能力,可独立安装:MCP 服务器(文档检索 + LSP 工具)和 Skill(仓颉语言速查知识)。推荐搭配使用。

MCP 服务器

公共文档服务器已部署在 https://cj-mcp.learningman.top,直接使用 Streamable HTTP 远程 MCP,无需在本地安装任何包,也无需加载嵌入模型,开箱即用:

npx add-mcp https://cj-mcp.learningman.top/mcp

如需 LSP 代码智能工具(需要本地仓颉 SDK),改用 stdio 模式,通过 uvx 拉起本地进程并连接远程检索服务:

npx add-mcp "uvx cangjie-mcp" \
  --env "CANGJIE_SERVER_URL=https://cj-mcp.learningman.top" \
  --env "CANGJIE_HOME=/path/to/cangjie-sdk"

完全离线 / 自建索引(不连接远程服务器,本地加载嵌入模型):

npx add-mcp "uvx cangjie-mcp" \
  --env "CANGJIE_RERANK_TYPE=local" \
  --env "CANGJIE_HOME=/path/to/cangjie-sdk"

add-mcp 会自动识别当前环境中的 AI 编程助手(Claude Code、Cursor、Windsurf、VS Code、Zed、Claude Desktop 等)并写入对应配置,详见 neondatabase/add-mcp。使用 -g 全局安装,-a <agent> 指定目标,--all 写入所有受支持的客户端。

Skill

本项目提供仓颉语言的 AI 编程助手技能,包含语法速查、关键差异和常见陷阱等知识。项目根目录的 SKILL.md 遵循 skills 规范,可直接通过以下命令安装到你的项目:

npx skills add Zxilly/cangjie-mcp

可用工具

文档搜索

工具名称 功能
cangjie_search_docs 语义搜索仓颉文档

代码智能

需要设置 CANGJIE_HOME 环境变量指向仓颉 SDK 路径,LSP 工具才会注册。

工具名称 功能
cangjie_lsp 统一 LSP 入口,通过 operation 执行 definition、references、hover、document_symbol、diagnostics、workspace_symbol、incoming/outgoing calls 和 type hierarchy

命令行参考

cangjie-mcp

安装 Python 包后,cangjie-mcp 命令可直接使用。

cangjie-mcp                        # 启动 MCP stdio 服务器(无参数时默认行为)
cangjie-mcp query "泛型"           # CLI 搜索(自动启动后台 daemon)
cangjie-mcp lsp hover main.cj --symbol main  # LSP 操作
cangjie-mcp index                  # 构建搜索索引
cangjie-mcp config init            # 生成默认配置文件

cangjie-mcpcangjie-mcp index 接受完整的索引/嵌入/网络选项(通过 cangjie-mcp --help 查看)。其他子命令的设置统一从配置文件加载,运行 cangjie-mcp config path 查看路径。

本地模型缓存

当使用 --embedding localCANGJIE_RERANK_TYPE=local 时,fastembed 模型缓存写入 <data_dir>/cache/fastembed。以下选项同时适用于 cangjie-mcpcangjie-mcp-server

CLI 参数 环境变量 说明
--data-dir PATH CANGJIE_DATA_DIR 应用数据根目录,默认 ~/.cangjie-mcpfastembed 缓存始终为 <data_dir>/cache/fastembed

全局选项

CLI 参数 环境变量 说明
--log-file PATH CANGJIE_LOG_FILE 日志文件路径
--debug CANGJIE_DEBUG 启用调试模式
-h, --help - 显示帮助
-V, --version - 显示版本

环境变量

环境变量 说明
CANGJIE_HOME 仓颉 SDK 路径,设置后自动启用 LSP 工具

cangjie-mcp-server

启动 HTTP 查询服务器和 Remote MCP 服务器,加载本地检索索引(BM25 + 向量索引),通过 HTTP 提供查询服务,同时提供 Streamable HTTP(/mcp)和旧版 SSE(/sse)两种 MCP 传输方式。该服务器为独立二进制,需单独构建。

cangjie-mcp-server [OPTIONS]

支持所有与 cangjie-mcp 相同的索引选项,以及:

CLI 参数 环境变量 默认值 说明
--host TEXT CANGJIE_SERVER_HOST 127.0.0.1 HTTP 服务器监听地址
-p, --port INT CANGJIE_SERVER_PORT 8765 HTTP 服务器监听端口
--mcp-path TEXT CANGJIE_MCP_PATH /mcp Streamable HTTP MCP 端点挂载路径
--no-mcp CANGJIE_NO_MCP - 禁用 Streamable HTTP MCP 端点
--no-sse CANGJIE_NO_SSE - 禁用旧版 SSE 传输端点

HTTP API

方法 路径 说明
GET /health 健康检查
GET /info 索引元数据
POST /search 向量搜索

MCP 端点

默认同时提供两种 MCP 传输方式,暴露 cangjie_search_docs 工具:

传输方式 端点 说明
Streamable HTTP /mcp(可通过 --mcp-path 配置) 现代 MCP 传输,使用 --no-mcp 禁用
SSE(旧版) GET /sse + POST /sse 兼容旧客户端,使用 --no-sse 禁用

注意:Remote MCP 模式下 LSP 工具不可用,仅提供文档搜索相关工具。

Daemon 管理

CLI 工具命令(querylsp 等)会自动在后台启动 daemon 进程,复用已初始化的服务实例以加速响应。daemon 空闲超时后自动退出。

cangjie-mcp daemon status           # 查看 daemon 状态
cangjie-mcp daemon stop             # 停止 daemon
cangjie-mcp daemon logs --tail 50   # 查看日志
cangjie-mcp daemon logs --follow    # 实时跟踪日志

调试与日志

--log-file--debug 配合使用,可以帮助排查 MCP 通信问题:

# 记录应用日志到文件
cangjie-mcp --log-file /tmp/cangjie.log

# 调试模式:额外记录 MCP stdio 协议流量
cangjie-mcp --log-file /tmp/cangjie.log --debug

# 通过环境变量配置
CANGJIE_LOG_FILE=/tmp/cangjie.log CANGJIE_DEBUG=1 cangjie-mcp

许可证

MIT License

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