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Build MCP-based AI-interactive servers with tools, resources, and flexible transports.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "bare-mcp" yet — see the docs or source repo.
Using bare-mcp, create a minimal runnable MCP server example for Node.js with a calculator tool and a static resource endpoint, and explain how to run it locally.
Provides runnable server code, dependency notes, and local startup steps.
Show how to use bare-mcp to configure both stdio and HTTP transports for one MCP server, and compare when each should be used.
Returns sample code for multiple transports plus a comparison of usage scenarios.
Using bare-mcp, design a tool interface callable by an LLM named fetch_project_status, taking a project ID and returning a project status summary, then generate the server code skeleton.
Outputs the tool definition, input/output schema, and server skeleton code.
Connect to the mcp API via MCP to extend AI tool capabilities.
Build MCP servers in TypeScript with less boilerplate and testing helpers.
Capture project decisions and constraints during AI chats for seamless re-entry.
Build TypeScript MCP servers faster with a production-ready starter architecture.
Enable AI assistants to read, write, and manage Bear notes on macOS.
Let AI control a real browser session for reliable web automation.