AI Skill Hub 推荐使用:MCP服务器 是一款优质的MCP工具。AI 综合评分 7.5 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
利用Codelogic的软件依赖数据提升AI性能
MCP服务器 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
利用Codelogic的软件依赖数据提升AI性能
MCP服务器 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/CodeLogicIncEngineering/codelogic-mcp-server
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"mcp---": {
"command": "npx",
"args": ["-y", "codelogic-mcp-server"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 MCP服务器 执行以下任务... Claude: [自动调用 MCP服务器 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"mcp___": {
"command": "npx",
"args": ["-y", "codelogic-mcp-server"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant.
The MCP server relies upon Astral UV to run, please install
codelogic-docker-agent --agent-type=dotnet --scan-path=/app --application-name=MyApp --ci-platform=jenkins
codelogic-build-info --build-type=all --output-format=docker --ci-platform=github-actions
```bash
"env": {
"CODELOGIC_SERVER_HOST": "<url to the server e.g. https://myco.app.codelogic.com>",
"CODELOGIC_USERNAME": "<my username>",
"CODELOGIC_PASSWORD": "<my password>",
"CODELOGIC_WORKSPACE_NAME": "<my workspace>",
"CODELOGIC_DEBUG_MODE": "true"
}
To configure this MCP server in VS Code:
.vscode/mcp.json file in your workspace with the following configuration:{
"servers": {
"codelogic-mcp-server": {
"type": "stdio",
"command": "uvx",
"args": [
"codelogic-mcp-server@latest"
],
"env": {
"CODELOGIC_SERVER_HOST": "<url to the server e.g. https://myco.app.codelogic.com>",
"CODELOGIC_USERNAME": "<my username>",
"CODELOGIC_PASSWORD": "<my password>",
"CODELOGIC_WORKSPACE_NAME": "<my workspace>",
"CODELOGIC_DEBUG_MODE": "true"
}
}
}
}
Note: On some systems, you may need to use the full path to the uvx executable instead of just "uvx". For example:/home/user/.local/bin/uvxon Linux/Mac orC:\Users\username\AppData\Local\astral\uvx.exeon Windows.
MCP: Add Server command from the Command Palette and provide the server information.MCP: List Servers command from the Command Palette.Configure Claude Desktop by editing the configuration file:
~/Library/Application\ Support/Claude/claude_desktop_config.json%APPDATA%/Claude/claude_desktop_config.json~/.config/Claude/claude_desktop_config.jsonAdd the following to your configuration file:
"mcpServers": {
"codelogic-mcp-server": {
"command": "uvx",
"args": [
"codelogic-mcp-server@latest"
],
"env": {
"CODELOGIC_SERVER_HOST": "<url to the server e.g. https://myco.app.codelogic.com>",
"CODELOGIC_USERNAME": "<my username>",
"CODELOGIC_PASSWORD": "<my password>",
"CODELOGIC_WORKSPACE_NAME": "<my workspace>"
}
}
}
Note: On some systems, you may need to use the full path to the uvx executable instead of just "uvx". For example:/home/user/.local/bin/uvxon Linux/Mac orC:\Users\username\AppData\Local\astral\uvx.exeon Windows.
After adding the configuration, restart Claude Desktop to apply the changes.
To run this MCP server with Windsurf IDE:
Configure Windsurf IDE:
To configure Windsurf IDE, you need to create or modify the ~/.codeium/windsurf/mcp_config.json configuration file.
Add the following configuration to your file:
"mcpServers": {
"codelogic-mcp-server": {
"command": "uvx",
"args": [
"codelogic-mcp-server@latest"
],
"env": {
"CODELOGIC_SERVER_HOST": "<url to the server e.g. https://myco.app.codelogic.com>",
"CODELOGIC_USERNAME": "<my username>",
"CODELOGIC_PASSWORD": "<my password>",
"CODELOGIC_WORKSPACE_NAME": "<my workspace>"
}
}
}
Note: On some systems, you may need to use the full path to the uvx executable instead of just "uvx". For example:/home/user/.local/bin/uvxon Linux/Mac orC:\Users\username\AppData\Local\astral\uvx.exeon Windows.
After adding the configuration, restart Windsurf IDE or refresh the tools to apply the changes.
To configure the CodeLogic MCP server in Cursor:
.cursor/mcp.json file:{
"mcpServers": {
"codelogic-mcp-server": {
"command": "uvx",
"args": [
"codelogic-mcp-server@latest"
],
"env": {
"CODELOGIC_SERVER_HOST": "<url to the server e.g. https://myco.app.codelogic.com>",
"CODELOGIC_USERNAME": "<my username>",
"CODELOGIC_PASSWORD": "<my password>",
"CODELOGIC_WORKSPACE_NAME": "<my workspace>",
"CODELOGIC_DEBUG_MODE": "true"
}
}
}
}
Note: On some systems, you may need to use the full path to the uvx executable instead of just "uvx". For example:/home/user/.local/bin/uvxon Linux/Mac orC:\Users\username\AppData\Local\astral\uvx.exeon Windows.
The CodeLogic MCP server tools will now be available in your Cursor workspace.
codelogic-pipeline-helper --ci-platform=jenkins --agent-type=dotnet --scan-triggers=main,develop ```
The following environment variables can be configured to customize the behavior of the server:
CODELOGIC_SERVER_HOST: The URL of the CodeLogic server.CODELOGIC_USERNAME: Your CodeLogic username.CODELOGIC_PASSWORD: Your CodeLogic password.CODELOGIC_WORKSPACE_NAME: The name of the workspace to use.CODELOGIC_DEBUG_MODE: Set to true to enable debug mode. When enabled, additional debug files such as timing_log.txt and impact_data*.json will be generated. Defaults to false.Tests only
CODELOGIC_GRAPH_E2E_REQUIRED: Set to 1 when running graph MCP integration tests if you want missing graph APIs (HTTP 404 / “Graph API not available”) to fail the suite instead of skipping those tests.If you want to run integration tests that connect to a real CodeLogic server:
test/.env.test.example to test/.env.test and populate with your CodeLogic server detailspython -m unittest discover -s test -p "integration_*.py"
Note: Integration tests require access to a CodeLogic server instance.
The CodeLogic MCP Server now includes powerful DevOps capabilities for integrating CodeLogic scanning into your CI/CD pipelines. These tools help DevOps teams:
Create a .vscode/copilot-instructions.md file with the following content:
```markdown
高质量的MCP服务器,易于集成和使用
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MPL 2.0 — 文件级 Copyleft,修改的文件需开源,但可与闭源代码结合使用。
总体来看,MCP服务器 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | codelogic-mcp-server |
| 原始描述 | 开源MCP工具:An MCP Server to utilize Codelogic's rich software dependency data in your AI pr。⭐36 · Python |
| Topics | mcpaiai-agentscodingdeveloper-tools |
| GitHub | https://github.com/CodeLogicIncEngineering/codelogic-mcp-server |
| License | MPL-2.0 |
| 语言 | Python |
收录时间:2026-06-03 · 更新时间:2026-06-08 · License:MPL-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端