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soluai-spa/solucortex-mcp

by Various

Living technical memory for AI agents — official SoluCortex MCP server

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MCP

soluai-spa/solucortex-mcp

Added 8 Sept 2026

#ai-agents#claude#claude-ai#claude-api#claude-code#claude-plugin#cursor#cursor-ai
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

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

Clients listed in this record (not verified here)

Claude Desktop, Claude Code, Cursor, Cline

Notes

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

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

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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