MemoryMesh MCP Server

An MCP server that uses a knowledge graph to store and recall structured memory for AI models

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What is the MemoryMesh MCP Server?

An MCP server that uses a knowledge graph to store and recall structured memory for AI models

What the server does

MemoryMesh is a knowledge graph server designed for AI models, with a focus on text-based RPGs and interactive storytelling. It helps AI maintain consistent, structured memory across conversations, enabling richer and more dynamic interactions.

MemoryMesh is a local knowledge graph server that empowers you to build and manage structured information for AI models. While particularly well-suited for text-based RPGs, its adaptable design makes it useful for various applications, including social network simulations, organizational planning, or any scenario involving structured data.

  • Dynamic Schema-Based Tools: — Define your data structure with schemas, and MemoryMesh automatically generates tools for adding, updating, and deleting data
  • Intuitive Schema Design: — Create schemas that guide the AI in generating and connecting nodes, using required fields, enumerated types, and relationship definitions
  • Metadata for AI Guidance: — Use metadata to provide context and structure, helping the AI understand the meaning and relationships within your data
  • Relationship Handling: — Define relationships within your schemas to encourage the AI to create connections (edges) between related data points (nodes)
  • Informative Feedback: — Provides error feedback to the AI, enabling it to learn from mistakes and improve its interactions with the knowledge graph
  • Event Support: — An event system tracks operations, providing insights into how the knowledge graph is being modified

Credentials and setup notes

  • Node.js: Version 18 or higher. You can download it from nodejs.org. * npm: Usually included with Node.js. * Claude for Desktop: Make sure you have the latest version installed from claude.ai/download.

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Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

  • Node.js: Version 18 or higher. You can download it from nodejs.org. * npm: Usually included with Node.js. * Claude for Desktop: Make sure you have the latest version installed from claude.ai/download.

Example prompts to try

  • “Use MemoryMesh to Nodes.”
  • “Use MemoryMesh to Edges.”
  • “Use MemoryMesh to Schemas.”

Frequently asked questions

An MCP server that uses a knowledge graph to store and recall structured memory for AI models Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.