What are the runtime requirements?
GHC >= 9.12 and a Linux environment with PTY support. On Windows, use within WSL.
@phoityne
基本信息
pty-mcp-server
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。
pty-mcp-server is a Haskell implementation of the Model Context Protocol (MCP) that enables AI agents to acquire and control pseudo-terminal (PTY) connections dynamically. It communicates with MCP clients exclusively via stdio, allowing AI to interact with external CLI-based tools in a structured, automated way.
Install with cabal install pty-mcp-server, then run with pty-mcp-server -y config.yaml. The server is typically launched by development tools like Visual Studio Code via a .vscode/mcp.json configuration. The config.yaml file specifies logging, script directories, and prompt detection strings.
tools-list.json and shell scriptsGHC >= 9.12 and a Linux environment with PTY support. On Windows, use within WSL.
Create a shell script named `your-tool.sh` in the configured `scripts/` directory, then add an entry in `tools-list.json` with the tool name and metadata. The server dynamically resolves tools by name.
It operates strictly in stdio mode, communicating with MCP clients exclusively via standard input and output.
Yes. The README explicitly warns against granting unrestricted control to AI. All AI systems must remain under human oversight, and use is at the user’s own risk.
The `config.yaml` file supports `logDir` (log file directory), `logLevel` (e.g., "Debug", "Info", "Error"), `scriptsDir` (containing `tools-list.json` and scripts), and `prompts` (list of strings to detect interactive command prompts).
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