ravi-labs/mindmap-mcp-server

Overview

A local-first MCP (Model Context Protocol) server for memory and context handoff between AI tools. It stores context locally with graceful decay, allowing users to capture context in one tool and resume it in another without cloud dependency.

Best for

Best for
Developers needing local-only context persistence across MCP-compatible AI tools

Use cases

• Saving a conversation summary in one AI assistant and loading it in another
• Maintaining a persistent local memory across multiple chat sessions
• Handing off context between different MCP-compatible applications

Notes

A local-first MCP (Model Context Protocol) server for memory and context handoff between AI tools. It stores context locally with graceful decay, allowing users to capture context in one tool and resume it in another without cloud dependency.

1 stars on GitHub. Last updated 2026-06-14. Licensed Apache-2.0.

Use cases

• Saving a conversation summary in one AI assistant and loading it in another
• Maintaining a persistent local memory across multiple chat sessions
• Handing off context between different MCP-compatible applications

Pros

• Runs entirely offline with no cloud dependency
• Graceful decay manages memory relevance over time
• Privacy and full control over stored context data

Cons

• Very low adoption (1 star) and minimal community support
• Limited to local environment with no built-in sync
• Requires MCP compatibility from both source and target tools

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.