What are the runtime requirements?
GHC >= 9.12 and a Linux environment with PTY support. On Windows, use within WSL.
@phoityne
基本情報
pty-mcp-server
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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