ContextLayer

v0.1.0Knowledge & Memorystable

Intelligent context infrastructure for AI teams: knowledge graph, sessions, tasks, documents.

io-github-dotnova-context-layermcpai-integration
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What is ContextLayer?

ContextLayer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to intelligent context infrastructure for ai teams: knowledge graph, sessions, tasks, documents.

Intelligent context infrastructure for AI teams: knowledge graph, sessions, tasks, documents.

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Intelligent context infrastructure for AI teams: knowledge g

Use Cases

Build knowledge graphs for AI teams.
Organize sessions, tasks, and documents in a unified context.
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv0.1.0
UpdatedMay 4, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx io-github-dotnova-context-layer

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about ContextLayer

What is ContextLayer?

ContextLayer is a Model Context Protocol (MCP) server that intelligent context infrastructure for ai teams: knowledge graph, sessions, tasks, documents. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install ContextLayer?

Follow the installation instructions on the ContextLayer GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with ContextLayer?

ContextLayer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is ContextLayer free to use?

Yes, ContextLayer is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "io-github-dotnova-context-layer": { "command": "npx", "args": ["-y", "io-github-dotnova-context-layer"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use ContextLayer?

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