MCPMarket
Sell SkillsPower Your AgentsConnect
  1. Home
  2. Servers
  3. Archiledge

Archiledge

thecookiezenbythecookiezen
•
Developer Tools
Data Science & ML
Database Management

Implements a graph-based Model Context Protocol (MCP) memory server.

Related MCPs

View more
  • neondatabase-labs

    Neon

    Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.

  • GLips

    Figma Context

    Provides AI coding agents with simplified Figma layout information via the Model Context Protocol.

  • 21st-dev

    Magic

    Generate modern UI components instantly from natural language descriptions within your IDE.

Related Skills

View all
  • openclaw

    Diagram Maker & Visualizer

    Generates professional SVG, HTML, and Excalidraw diagrams for software architecture, system flows, and educational concepts.

  • openclaw

    GH Issues Auto-Fixer

    Automates the end-to-end GitHub issue lifecycle by spawning sub-agents to implement code fixes, open pull requests, and resolve review comments.

  • openclaw

    Discord Integration

    Manages Discord operations including messaging, reactions, and channel management directly through Claude.

MCPMarket

Discover MCP servers that connect MCP clients like Claude and Cursor to your favorite tools. Browse the MCP Market to get started.

Browse

  • MCP Search
  • MCP Servers
  • MCP Clients
  • Agent Skills
  • MCP Market Hub
  • Categories
  • What is an MCP server?
  • Model Context Protocol

Rankings

  • Top MCPs Today
  • Top Agent Skills Today
  • Top 100 Agent Skills
  • Top 100 MCP Servers

About

  • News
  • Submit
  • Contact

© 2026 MCP Market. All rights reserved.·Privacy·Terms

Archiledge provides a robust, graph-based implementation of the Model Context Protocol (MCP) Memory Server, designed to serve as a knowledge graph for AI agents. It efficiently stores and manages entities and their relationships, offering a comprehensive set of MCP tools to programmatically create, read, search, and delete graph data. Featuring a modular architecture, Archiledge supports both transient in-memory storage and persistent Neo4j integration, making it an ideal and flexible solution for local development and testing environments that require advanced memory management capabilities for AI applications.

Key Features

01Knowledge Graph storage for entities and relations
02Support for both in-memory and Neo4j graph persistence
03Optimized for local development and testing environments
040 GitHub stars
05Comprehensive MCP tools for graph manipulation (create, read, search, delete)
06Modular architecture with distinct domain, application, and infrastructure layers

Use Cases

01Developing and testing AI agents requiring memory management
02Prototyping knowledge graph-based applications
03Experimenting with the Model Context Protocol (MCP)