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Connect to and operate MCP servers from the command line.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcptools" yet — see the docs or source repo.
Show me how to use mcptools to connect to a local MCP server over stdio, list available tools, and demonstrate one tool call.
Provides example commands and explanations for connecting locally, listing tools, and running a test call.
Help me use mcptools to connect to a remote HTTP MCP server, explain authentication parameters, list resources, and verify connectivity.
Returns remote connection commands, authentication examples, resource listing steps, and connectivity checks.
Design a smoke test workflow for MCP interfaces using mcptools, including connection, tool discovery, call validation, and error-handling examples.
Generates a CI- or local-friendly test workflow, command templates, and key validation points.
Connect to the mcp API via MCP to extend AI tool capabilities.
Collect system info, run network scans, and extend workflows with custom tools.
Call tools like weather lookup via MCP with reusable resources and prompts.
Connect to Jupyter via MCP to run code and explore data interactively.
Build, debug, and manage software tasks with natural language across LLMs.
Secure file and directory operations for autonomous AI development workflows.