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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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Servers/Workplace & Productivity/KnowSync AI
Workplace & ProductivityOfficial
K

KnowSync AI

Transform your scattered documentation into AI-ready knowledge that works seamlessly with Claude, Cursor, VS Code, and other AI tools.

0 starsUpdated Aug 28, 2026
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Overview

Connect AI agents to your KnowSync knowledge base using the Model Context Protocol (MCP). Set up API keys, configure tools, and integrate with Claude, Cursor, and other AI assistants. KnowSync's Model Context Protocol (MCP) server enables AI agents to access your organization's knowledge base in real-time. Connect Claude, Cursor, VS Code, and other AI tools to search, retrieve, and add content to your knowledge base seamlessly. The Model Context Protocol (MCP) is an open standard developed by Anthropic that allows AI applications to securely access external data sources. KnowSync's MCP server provides 2 unified tools with intelligent caching, AI-powered query optimization, and session management that enable AI agents to interact with your knowledge base through a standardized JSON-RPC 2.0 API.

Installation

claude mcp add --transport http knowsync https://www.knowsync.ai/api/mcp \

Configuration

{
  "mcpServers": {
    "knowsync": {
      "url": "https://www.knowsync.ai/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY",
        "X-User-Id": "your_user_id_here"
      }
    }
  }
}

Capabilities

  • Search knowledge base

    Ask your AI to find relevant documents and content using `knowsync_query` with automatic intent detection and AI-powered reranking.

  • Manage documents

    Use `knowsync_manage` to list, browse, and filter documents by status or content type for knowledge base audits.

  • Add web content

    Have your AI crawl specific URLs or discover relevant web pages to automatically add them to your knowledge base via `knowsync_manage`.

  • Session-aware follow-ups

    Ask contextual follow-up questions in the same conversation, with `knowsync_query` preserving context for natural multi-turn queries.

Tags

  • anthropic
  • llm
  • ai-model
  • documentation
  • document

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