Asterisk MCP Server

@getAsterisk

代码仓库主页

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

getAsterisk

关于 Asterisk MCP Server

Asterisk Model Context Protocol (MCP) server.

#python #security #ai #mcp#vulnerability-scanners#claude #llm #model-context-protocol #mcp-server #vibe-coding #claude-3-7-sonnet #model-context-protocol-servers

Asterisk MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Asterisk MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Asterisk MCP Server?

A middleware server that connects to the Asterisk security API to provide real‑time security analysis of code. It implements the Model Context Protocol (MCP) to expose security scanning tools to AI assistants (e.g., Claude, Cursor, Cline, Windsurf) so they can analyze code for vulnerabilities.

How to use Asterisk MCP Server?

Install with pipx or uvx, then run with command‑line arguments (e.g., --api-url, --key, --transport). Configuration can also be done through the graphical settings UI. A sample MCP client configuration is provided in the README.

Key features of Asterisk MCP Server

Code Snippet Scanning for security vulnerabilities
Codebase Scanning with accurate context coverage
Change Verification for code in chat history
Graphical Settings UI (dearpygui)
Flexible stdio and SSE transport protocols
Comprehensive logging with configurable verbosity

Use cases of Asterisk MCP Server

Scan a code snippet for vulnerabilities during development
Scan an entire codebase for security issues
Verify that code changes do not introduce new vulnerabilities
Integrate real‑time security analysis into AI‑assisted coding

常见问题

How do I get an API key?

Get your API key from [https://app.mcp.asterisk.so](https://app.mcp.asterisk.so).

What transport protocols are supported?

The server supports `stdio` and `sse` (set via the `--transport` argument).

What are the system requirements?

Python 3.10+, `pipx` / `uvx`, and dependencies including `httpx`, `mcp[cli]`, and `dearpygui` (for the settings UI).

How do I resolve authentication errors?

Check that your API key is correctly set and has the necessary permissions. Regenerate the key from the dashboard if needed.

How do I fix timeout errors for large codebases?

Increase the API timeout setting, analyze smaller portions of code separately, or check your network connection stability.

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