soluai-spa/solucortex-mcp

Overview

SoluCortex MCP is an official Model Context Protocol server that provides living technical memory for AI agents. It is written in Python and designed to store and retrieve persistent technical context for agent workflows.

Best for

Best for
Developers building AI agents that need persistent, shared technical memory via MCP.

Use cases

• Give AI agents persistent access to project-specific technical knowledge
• Store and retrieve architectural decisions or codebase context across sessions
• Integrate a shared memory layer into MCP-compatible agent toolchains

How to use

Install

npx @modelcontextprotocol/inspector uv run solucortex-mcp   # interactive test

Tools exposed

• solucortex_recall
• solucortex_search
• solucortex_remember
• solucortex_update_memory
• solucortex_flag_memory
• solucortex_list_memories
• SOLUCORTEX_API_KEY
• SOLUCORTEX_PROJECT_ID
• SOLUCORTEX_URL
• X-Solucortex-Project

Tested with

Claude Desktop, Claude Code, Cursor, Cline

Notes

SoluCortex MCP is an official Model Context Protocol server that provides living technical memory for AI agents. It is written in Python and designed to store and retrieve persistent technical context for agent workflows.

0 stars on GitHub. Last updated 2026-09-07. Licensed MIT.

Use cases

• Give AI agents persistent access to project-specific technical knowledge
• Store and retrieve architectural decisions or codebase context across sessions
• Integrate a shared memory layer into MCP-compatible agent toolchains

Pros

• Official SoluCortex MCP server, aligned with the project’s standards
• Python-based, easy to integrate into existing Python agent stacks
• Open source on GitHub, allowing inspection and customization

Cons

• No GitHub stars yet, indicating a very early or unproven project
• Limited public documentation or usage examples available from the provided facts
• Requires running and maintaining a separate MCP server component

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