Semantic Context MCP

v1.0.0Knowledge & Memorystable

Enables AI assistants to save, load, and search conversation context with AI-powered summarization and auto-tagging. Demonstrates semantic intent patterns and hexagonal architecture for maintainable AI-assisted development.

semantic-context-mcpmcpai-integration
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What is Semantic Context MCP?

Semantic Context MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables ai assistants to save, load, and search conversation context with ai-powered summarization and auto-tagging. demonstrates semantic intent patterns and hexagonal architecture for maintainable a...

Enables AI assistants to save, load, and search conversation context with AI-powered summarization and auto-tagging. Demonstrates semantic intent patterns and hexagonal architecture for maintainable AI-assisted development.

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

Features

  • Enables AI assistants to save, load, and search conversation

Use Cases

Save conversation context with summaries
Auto-tag and retrieve by semantic meaning
semanticintent

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx semantic-context-mcp

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 Semantic Context MCP

What is Semantic Context MCP?

Semantic Context MCP is a Model Context Protocol (MCP) server that enables ai assistants to save, load, and search conversation context with ai-powered summarization and auto-tagging. demonstrates semantic intent patterns and hexagonal architecture for maintainable ai-assisted development. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Semantic Context MCP?

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

Which AI clients work with Semantic Context MCP?

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

Is Semantic Context MCP free to use?

Yes, Semantic Context MCP is open source and available under the MIT License 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": { "semantic-context-mcp": { "command": "npx", "args": ["-y", "semantic-context-mcp"] } } }

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

Read the full setup guide →

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