MCP.so
Sign In

Conxt Memory Layer

@pgavali0318

Repository

About Conxt Memory Layer

Persistent AI memory layer for developers. Stores decisions, coding rules, preferences, tool choices, and workflows across Claude, ChatGPT, Gemini, Cursor, and Windsurf. 8 MCP tools including get_context, add_memory, search_decisions, and team workspaces. Never re-explain your st

#memory#developer-tools#productivity#cursor#claude#ai-agents

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "conxt": {
      "url": "https://mcp.conxt.dev/mcp/",
      "headers": {
        "Authorization": "Bearer YOUR_CNXT_API_KEY"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Conxt Memory Layer?

Conxt Memory Layer is a persistent AI memory layer for developers. It stores decisions, coding rules, preferences, tool choices, and workflows across Claude, ChatGPT, Gemini, Cursor, and Windsurf, providing 8 MCP tools including get_context, add_memory, search_decisions, and team workspaces.

How to use Conxt Memory Layer?

The README does not provide installation, configuration, or invocation instructions. Refer to the server's documentation for details.

Key features of Conxt Memory Layer

  • Persistent AI memory across multiple platforms
  • Supports Claude, ChatGPT, Gemini, Cursor, Windsurf
  • 8 MCP tools: get_context, add_memory, search_decisions
  • Team workspaces for shared memory
  • Stores decisions, coding rules, preferences, workflows

Use cases of Conxt Memory Layer

  • Avoid re-explaining your preferences to different AI assistants
  • Maintain consistent coding rules across tools and sessions
  • Share team memory for collaborative development workflows

FAQ from Conxt Memory Layer

Which AI platforms does it work with?

Claude, ChatGPT, Gemini, Cursor, and Windsurf.

What tools does it provide?

8 MCP tools including get_context, add_memory, search_decisions, and team workspaces.

Is it for individual or team use?

It supports both individual and team workspaces.

What kind of data does it store?

Decisions, coding rules, preferences, tool choices, and workflows.

Are there any known limitations?

—

Frequently asked questions

Which AI platforms does it work with?

Claude, ChatGPT, Gemini, Cursor, and Windsurf.

What tools does it provide?

8 MCP tools including get_context, add_memory, search_decisions, and team workspaces.

Is it for individual or team use?

It supports both individual and team workspaces.

What kind of data does it store?

Decisions, coding rules, preferences, tool choices, and workflows.

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

pgavali0318

Submitted by

Priyadarshi Gavali

More AI & Agents MCP servers

Mcp Agent

lastmile-ai

Build effective agents using Model Context Protocol and simple workflow patterns

8.4K

🛡️ A.I.G（AI-Infra-Guard）

Tencent

A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

4.1K

Competitor Tracker & Co.

Competitor Tracker & Co.

Competitor Tracker & Co. watches your competitors' websites and tells you what changed. Every week it crawls their pricing, product, messaging and corporate pages, detects the changes that matter, and files a tagged, ran

欢迎来到 智言平台

Shy2593666979

AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。

797

Intervals.icu MCP Server

mvilanova

Model Context Protocol (MCP) server for connecting Claude and ChatGPT with the Intervals.icu API.

311