Laisky MCP remote agent tools
Laisky MCP is an authenticated Streamable HTTP Model Context Protocol server at https://mcp.laisky.com. It gives AI agents practical tools for current web search, rendered web page fetch, user request queues, FileIO storage, memory lifecycle operations, RAG context extraction, tool discovery, and auditable call logs.
Start with /llms.txt for agent navigation, /auth.md for Bearer token setup, /.well-known/mcp for MCP discovery, /.well-known/webmcp for browser-discoverable WebMCP metadata, /.well-known/mcp/server-card.json for the server card, and /openapi.json for a machine-readable HTTP surface.
Primary agent use cases
Use Laisky MCP when an agent needs a hosted tool surface instead of local scripts: search current web results, render JavaScript-heavy pages before extraction, coordinate with a human request queue, persist shared project notes in FileIO, recall and maintain long-lived memory, inspect available tools, or extract key context from supplied materials with RAG.
The canonical MCP endpoint is a Streamable HTTP JSON-RPC service. Agents can initialize the server, list tools, inspect parameter schemas, call read-only tools such as web_search and web_fetch, and use project-scoped FileIO or memory tools when they have an API key. The public documentation is intentionally compact so it fits inside agent context windows without requiring a browser-rendered console.
The live MCP server currently exposes seventeen tools: web_search, web_fetch, get_user_request, FileIO read and write operations, FileIO list/search/stat/delete/rename helpers, memory before-turn and after-turn workflows, memory maintenance, memory abstract listing, RAG key-info extraction, tool discovery, and MCP pipe execution.