Skip to main content
Glama
enesjakozh

CodeSavant

by twolven
GitHub
Python
MIT License
9
OverviewInspectNewEndpointsSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

MCP-CodeSavant

CodeSavant 是一个 WIP 项目。

CodeSavant 是一个模型上下文协议 (MCP) 服务器，提供代码操作、执行和版本控制功能。它允许 AI 助手读取、写入和执行代码，同时保留更改历史记录。

特征

  • 使用特定于行的操作来读取和写入代码文件

  • 使用多种编程语言（Python、Node.js）执行代码

  • 在受控环境中执行 shell 命令

  • 使用版本控制跟踪和管理代码更改

  • 在代码文件中搜索

  • 恢复到以前版本的代码

安装

  1. 克隆存储库：

git clone https://github.com/twolven/mcp-codesavant.git cd mcp-codesavant

  1. 安装所需的依赖项：

pip install -r requirements.txt

  1. 将服务器配置添加到您的 Claude Desktop config.json：

{ "mcpServers": { "codesavant": { "command": "python", "args": ["path/to/codesavant.py"] } } }

目录结构

服务器创建并管理以下目录结构：

workspaces/ ├── project1/ │ ├── .code_history.json │ └── [code files] ├── project2/ │ ├── .code_history.json │ └── [code files] └── ...

工具参考

详细使用方法

1. 读取代码文件

读取代码文件的内容，可选择搜索特定部分。

{ "project": "string", // Project name "path": "string", // Path to file relative to project workspace "search": "string" // (Optional) Text/pattern to search for in file }

回复：

{ "success": true, "timestamp": 1234567890, "data": { "content": "string", // File content "start_line": number, // (Only if search used) Starting line of found section "end_line": number // (Only if search used) Ending line of found section } }

2. 写入代码文件

写入或更新代码文件中的特定行。

{ "project": "string", // Project name "path": "string", // Path to file relative to workspace "content": "string", // Content to write (just the lines being changed) "start_line": number, // Starting line number for the change "end_line": number // (Optional) Ending line number for the change }

回复：

{ "success": true, "timestamp": 1234567890, "data": { "diff": { "changes": [ // List of changes made [string, number, number, number, number] // (type, old_start, old_end, new_start, new_end) ], "timestamp": number // When the change was made } } }

3. 获取代码历史记录

获取代码文件的更改历史记录。

{ "path": "string" // Path to file relative to workspace }

回复：

{ "success": true, "timestamp": 1234567890, "data": { "history": [ { "changes": [ // List of changes made [string, number, number, number, number] ], "timestamp": number } ] } }

4. 执行代码命令

执行与代码相关的shell命令。

{ "command": "string", // Shell command to execute "timeout": number // (Optional) Command timeout in seconds (default: 30) }

回复：

{ "success": true, "timestamp": 1234567890, "data": { "state": "success|error|timeout|cancelled", "output": "string", // Command output "error": "string", // Error message if any "runtime": number, // Execution time in seconds "exit_code": number // Command exit code } }

5. 执行代码

以指定语言执行代码。

{ "code": "string", // Code to execute "language": "string", // Programming language ("python" or "node") "timeout": number // (Optional) Execution timeout in seconds (default: 30) }

回复：

{ "success": true, "timestamp": 1234567890, "data": { "state": "success|error|timeout|cancelled", "output": "string", // Code execution output "error": "string", // Error message if any "runtime": number, // Execution time in seconds "exit_code": number // Execution exit code } }

6. 恢复到版本

将代码文件恢复到特定版本。

{ "path": "string", // Path to file relative to workspace "timestamp": number // Timestamp of version to revert to }

回复：

{ "success": true, "timestamp": 1234567890, "data": { "diff": { "changes": [ // List of changes made [string, number, number, number, number] ], "timestamp": number // When the reversion was made } } }

7. 读取代码文件行

从代码文件中读取特定行。

{ "project": "string", // Project name "path": "string", // Path to file relative to project workspace "start_line": number, // Starting line number to read "end_line": number // (Optional) Ending line number to read }

回复：

{ "success": true, "timestamp": 1234567890, "data": { "content": "string" // Content of the specified lines } }

错误处理

服务器以以下格式提供详细的错误响应：

{ "success": false, "timestamp": 1234567890, "data": null, "error": "Error message" }

错误类型包括：

  • CodeFileError ：文件操作错误

  • CodeValidationError ：代码验证错误

  • CodeExecutionError ：代码执行错误

语言支持

目前支持的代码执行语言：

  • Python（使用系统 Python 解释器）

  • Node.js（使用 node 命令）

每种语言的执行都会在工作区目录中创建一个临时文件，并使用适当的解释器执行它。

贡献

  1. 分叉存储库

  2. 创建你的功能分支

  3. 提交你的更改

  4. 推送到分支

  5. 创建新的 Pull 请求

执照

该项目根据 MIT 许可证获得许可 - 有关详细信息，请参阅LICENSE文件。

作者

托德·沃尔文 - ( https://github.com/tolven )

致谢

  • 使用 Anthropic 的模型上下文协议 (MCP) 构建

  • 专为与 Anthropic 的 Claude 配合使用而开发

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

提供代码操作、执行和版本控制功能。它允许 AI 助手读取、写入和执行代码，同时保留更改历史记录。

  1. 特征
    1. 安装
      1. 目录结构
        1. 工具参考
          1. 详细使用方法
        2. 错误处理
          1. 语言支持
            1. 贡献
              1. 执照
                1. 作者
                  1. 致谢

                    Related MCP Servers

                    • XiaoZhi MCP Aggregate

                      avxxoo
                      -
                      security
                      F
                      license
                      -
                      quality
                      A powerful interface for extending AI capabilities through remote control, calculations, email operations, knowledge search, and more.
                      Last updated -
                      38

                    • My Coding Buddy MCP Server

                      ajkeast
                      -
                      security
                      F
                      license
                      -
                      quality
                      A personal AI coding assistant that connects to various development environments and helps automate tasks, provide codebase insights, and improve coding decisions by leveraging the Model Context Protocol.
                      Last updated -
                      • Apple
                      • Linux

                    • Document Automation MCP Server

                      vedantparmar12
                      -
                      security
                      A
                      license
                      -
                      quality
                      A sophisticated server that enables AI assistants to automatically analyze codebases and generate comprehensive, professional documentation.
                      Last updated -
                      1
                      MIT License
                      • Linux
                      • Apple

                    • Context Optimizer MCP Server

                      malaksedarous
                      -
                      security
                      A
                      license
                      -
                      quality
                      Provides AI coding assistants with context optimization tools including targeted file analysis, intelligent terminal command execution with LLM-powered output extraction, and web research capabilities. Helps reduce token usage by extracting only relevant information instead of processing entire files and command outputs.
                      Last updated -
                      5
                      13
                      43
                      TypeScript
                      MIT License

                    View all related MCP servers

                    Appeared in Searches

                    New MCP Servers

                    MCP directory API

                    We provide all the information about MCP servers via our MCP API.

                    curl -X GET 'https://glama.ai/api/mcp/v1/servers/twolven/mcp-codesavant'

                    If you have feedback or need assistance with the MCP directory API, please join our Discord server