{"library":"slite-mcp-server","title":"Slite MCP Server","description":"A Model Context Protocol server that integrates Slite's knowledge management capabilities with AI models supporting function calling through MCP. Version 1.3.0 enables AI assistants to search notes, ask questions, retrieve note details, and create notes via tools like search-notes, ask-slite, get-note, get-note-children, and create-note. Unlike direct API integration, MCP provides a standardized protocol for tool discovery and invocation. The package ships TypeScript types and is designed for use with MCP-compatible AI clients (e.g., Claude). Features include optional filtering, pagination, content formatting, and environment variable configuration.","language":"javascript","status":"active","last_verified":"Sat Apr 25","install":{"commands":["npm install slite-mcp-server"],"cli":null},"imports":["import { SliteMcpServer } from 'slite-mcp-server'","import { runServer } from 'slite-mcp-server'"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import { SliteMcpServer } from 'slite-mcp-server';\n\nconst server = new SliteMcpServer({\n  apiKey: process.env.SLITE_API_KEY ?? ''\n});\n\nawait server.start();\n\n// The server exposes tools: search-notes, ask-slite, get-note, get-note-children, create-note\n// Use an MCP client to invoke them.\n\n// Example: searching notes\nconst searchResult = await server.callTool('search-notes', {\n  query: 'MCP integration',\n  page: 1,\n  hitsPerPage: 10\n});\nconsole.log(searchResult);","lang":"typescript","description":"Shows initializing a SliteMcpServer with an API key, starting it, and calling the search-notes tool as an example.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}