Anchor

v1.0.0Cloud Servicesstable

Provides persistent, local-first long-term memory for LLMs using Voronoi-partitioned vector storage and local embeddings. It enables users to store, recall, and automatically retrieve project context and preferences entirely on their own machine.

anchor-mcpmcpai-integration
Share:
0
Stars
0
Downloads
0
Weekly
0/5

What is Anchor?

Anchor is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides persistent, local-first long-term memory for llms using voronoi-partitioned vector storage and local embeddings. it enables users to store, recall, and automatically retrieve project context ...

Provides persistent, local-first long-term memory for LLMs using Voronoi-partitioned vector storage and local embeddings. It enables users to store, recall, and automatically retrieve project context and preferences entirely on their own machine.

This server falls under the Cloud Services, File Systems and Knowledge & Memory categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Provides persistent, local-first long-term memory for LLMs u

Use Cases

Integrate with AI assistants seamlessly.
Execute operations via natural language.
Arkya-AI

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx anchor-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 Anchor

What is Anchor?

Anchor is a Model Context Protocol (MCP) server that provides persistent, local-first long-term memory for llms using voronoi-partitioned vector storage and local embeddings. it enables users to store, recall, and automatically retrieve project context and preferences entirely on their own machine. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Anchor?

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

Which AI clients work with Anchor?

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

Is Anchor free to use?

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

Browse More Cloud Services MCP Servers

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

Quick Config Preview

{ "mcpServers": { "anchor-mcp": { "command": "npx", "args": ["-y", "anchor-mcp"] } } }

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

Read the full setup guide →

Ready to use Anchor?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides