MCP Server

Connect any AI agent to your knowledge in 2 minutes

MCP server integration for Claude Code, Cursor, VS Code, and any AI development tool. Simple setup, instant knowledge access, and seamless developer workflow integration.

Why developers choose our MCP server
Fast setup, reliable connections, and universal AI agent compatibility that integrates seamlessly with your development workflow.
<100ms
Connection time

Near-instant MCP server connection and tool discovery for immediate AI agent integration and responsiveness.

2 tools
Unified interface

Simple developer experience with just 2 tools: knowsync_query for search and knowsync_manage for content operations.

100%
MCP compatible

Full Model Context Protocol compliance ensures compatibility with Claude Code, Cursor, VS Code, and future AI agents.

Core capabilities

Intelligent MCP server built for modern AI development

Two unified tools with AI-powered features, smart caching, and session management designed for seamless AI agent integration.

Native Claude Code Integration
Direct integration with Claude Code for instant access to your knowledge base. No setup required - just connect and start asking questions about your documentation.
One-click Claude Code setup
Real-time knowledge access
Conversation context awareness
IDE & Editor Compatibility
Works seamlessly with Cursor IDE, VS Code extensions, and any MCP-compatible development environment for in-editor knowledge assistance.
Cursor IDE native support
VS Code extension ready
In-editor context assistance
Developer-First API Design
Simple JSON-RPC protocol with just 2 unified tools. Built for developers who need reliable, fast access to knowledge without complexity.
JSON-RPC 2.0 standard
RESTful fallback support
Comprehensive error handling
<100ms
Connection time

Near-instant MCP server connection and tool discovery for immediate AI agent integration and responsiveness.

2 tools
Unified interface

Simple developer experience with just 2 tools: knowsync_query for search and knowsync_manage for content operations.

100%
MCP compatible

Full Model Context Protocol compliance ensures compatibility with Claude Code, Cursor, VS Code, and future AI agents.

Workflow intelligence
From scattered docs to AI-ready knowledge in minutes
KnowSync automatically discovers, processes, and optimizes your content for AI consumption with intelligent session management and context preservation.

Instant AI Agent Connection

Connect any MCP-compatible AI agent in seconds. Auto-discovery of tools and capabilities means agents immediately know how to access your knowledge.

  • MCP server auto-discovery
  • Tool capability negotiation
  • Authentication & session setup

In-Context Knowledge Access

AI agents can query your knowledge base directly within conversations, maintaining context and providing source attribution automatically.

  • Context-aware querying
  • Source attribution
  • Conversation flow integration

Developer Workflow Integration

Seamless integration with development environments means knowledge access happens where you work - in your IDE, terminal, or development chat.

  • IDE extension compatibility
  • Workflow-aware responses
  • Development context preservation
Integrations & governance
Built for the AI development workflow
Seamless integration with Claude Code, Cursor, VS Code, and other development tools through our optimized MCP server implementation.

Claude Code Native Support

First-class integration with Claude Code. Add your MCP server URL and instantly connect your knowledge base to Claude conversations.

IDE Extension Ecosystem

Works with Cursor AI, VS Code extensions, and any editor that supports MCP protocol for in-editor knowledge assistance.

CI/CD & Automation Friendly

REST API fallbacks and standard authentication make it easy to integrate with build pipelines, scripts, and automation workflows.

Customer spotlight

Setting up the MCP server took 2 minutes. Now Claude Code has instant access to all our internal docs and APIs. It's like having a senior developer who knows everything about our codebase.

Jennifer Park
DevOps Engineer
Smart API consumption tracking
Transparent usage tracking with detailed analytics on API consumption, cache performance, and session patterns.

Track exactly how many API units your AI agents consume with detailed breakdowns: 1 unit for search queries, 2 units for content processing (crawl + processing).

Monitor cache hit rates, session patterns, and performance metrics to optimize your AI agent workflows for maximum efficiency.

Get started with MCP server