deficlow/HyperStore-MCP

Overview

HyperStore-MCP is a Python-based tool that provides a Model Context Protocol (MCP) server for storing and retrieving data. It allows AI agents to persist and query structured information through a standardized interface.

Best for

Best for
Developers building MCP-compatible AI agents that need a simple persistent store

Use cases

• Enable AI agents to save and recall session data across interactions
• Store and retrieve structured records for agent workflows
• Provide a persistent memory layer for MCP-compatible applications

How to use

Install

npx @modelcontextprotocol/inspector uvx hyperstore-mcp

Tools exposed

• search_apps
• ai_search
• get_app
• list_apps
• list_categories
• category_apps
• browse_apps
• get_homepage
• get_alternatives
• list_audiences
• apps_for_audience
• list_use_cases
• apps_for_use_case
• MCP_HOST
• MCP_PORT
• LOG_LEVEL

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code, ChatGPT

Notes

HyperStore-MCP is a Python-based tool that provides a Model Context Protocol (MCP) server for storing and retrieving data. It allows AI agents to persist and query structured information through a standardized interface.

0 stars on GitHub. Last updated 2026-05-16. Licensed MIT.

Use cases

• Enable AI agents to save and recall session data across interactions
• Store and retrieve structured records for agent workflows
• Provide a persistent memory layer for MCP-compatible applications

Pros

• Implements the MCP standard for interoperability with various AI agents
• Lightweight Python implementation with minimal dependencies
• Open source with permissive licensing

Cons

• No community traction yet (0 GitHub stars)
• Limited documentation beyond the repository name
• Unclear storage backend or scalability characteristics

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