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  1. Home
  2. ๐Ÿง  Knowledge & Memory
  3. Memxus Remote MCP
Memxus Remote MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 6:31:55 PM

Memxus Remote MCP

User RatingsBe the first to rate and review this MCP server!
View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).Visit Website

Shared context engine syncing GitHub, Notion, and decisions for unified AI context across MCP clients.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "gpitrella-memxus-remote-mcp": {
      "url": "https://mcp.memxus.com/mcp"
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (13) Directory Badge Claim listing Alternatives๐Ÿง  More in Knowledge & Memory

Overview

This server provides a shared context layer that synchronizes project decisions, preferences, and work context from GitHub, Notion, and manual inputs. It enables AI agents like Claude, ChatGPT, Cursor, and Gemini to start each session with relevant project architecture and decisions already loaded. Use it to avoid repeating explanations and to improve AI responses by providing consistent, reusable context across tools. Integration uses OAuth 2.1 PKCE and AES-256 encryption for secure access.

Use cases

โ€ขSave project decisions once and recall them in multiple AI agents
โ€ขSync GitHub repositories and Notion pages into a unified searchable context
โ€ขProvide consistent architecture and workflow context to AI sessions
โ€ขShare team knowledge and preferences across AI workflows
โ€ขBuild AI applications with persistent, portable context via MCP or API

Key features

โ€ขContext synchronization from GitHub repos, commits, pull requests, and issues
โ€ขContext synchronization from selected Notion workspace pages and documents
โ€ขManual context saving via 'remember' commands
โ€ขUnified, searchable project collections tagged by source
โ€ขOAuth 2.1 PKCE authentication with AES-256 encryption
โ€ขRFC 9728 compliant MCP server supporting multiple AI clients

Capabilities & Tool Schemas (13) ~226 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Memxus Remote MCP.

remember

Save context โ€” manual input, decisions, or notes; optional `project:<slug>` collection

recall

Semantic search across memories; GitHub/Notion synced content via `project:<slug>` or tags

get_context

Formatted context block from GitHub, Notion, and saved decisions for agent prompts

list_memories

Browse memories by collection, tags, type, or visibility

get_memory

Retrieve full content and metadata by memory ID

list_collections

List scopes; GitHub/Notion syncs appear under `project:<slug>

Documentation Overview

Memxus โ€” Context Engineering

One context layer. Every AI.

Multiply your productivity by giving every AI the right context.

Memxus brings Context Engineering to your entire AI workflow.

Save your real decisions, preferences and work context once. Find them in seconds and give Claude, Cursor, ChatGPT, Gemini or any MCP client the exact context required for each task.

No repeated explanations. No starting from zero. Better answers, faster.

Glama MCP Server License: AGPL-3.0 Node 20+ Railway MCP Registry v1.2.1

Website ยท Docs ยท Connect your first AI


Watch the Memxus demo on YouTube

โ–ถ๏ธ Watch the demo on YouTube ยท Demo page


Memxus Context Engineering hub: save from anywhere, recall in any AI, control via Dashboard

remember a decision in Claude, recall it later in Cursor, get the exact answer back


The problem

AI tools are powerful, but their productivity drops when they do not have the right context.

Claude does not know what Cursor knows. Cursor does not know what ChatGPT knows. Your project decisions, preferences, architecture and workflow context get repeated across every tool and every new conversation.

That creates unnecessary work:

  • Re-explaining the same information
  • Searching across repositories, documents and conversations
  • Correcting answers based on missing context
  • Repeating technical and product decisions
  • Starting every AI task from zero

Memxus solves this through Context Engineering.

Save what matters once, find it in seconds and give every AI the exact context it needs for the task.

The result is less repetition, less back-and-forth, faster execution and better answers across your entire AI workflow.

Save a decision in Claude โ†’ recall it in Cursor โ†’ reuse it in ChatGPT.
Need deeper context? Connect GitHub and Notion whenever you are ready.


What is Memxus?

Memxus is a Context Engineering designed to multiply your productivity by giving every AI the right context.

It creates a shared context layer across Claude, Cursor, ChatGPT, Gemini and any MCP-compatible client.

The core workflow is simple:

  • remember what matters
  • recall it from any AI
  • find relevant context in seconds
  • give each AI the information it needs to produce a better answer

Connect once with OAuth and your decisions, preferences and work context become portable across your entire AI workflow โ€” without local setup, repeated explanations or copying and pasting between tools.

For deeper context, Memxus can also connect to real work sources such as GitHub and Notion. Repositories, documentation, commits, pull requests, issues and selected workspace pages become searchable alongside your manually saved context.

GitHub and Notion connectors are live in production. This deeper synchronization is optional: Memxus delivers value from the first saved decision.

Save once. Find it fast. Give every AI the right context. Work faster.


Why developers use Memxus

  • Save once, recall in every AI โ€” stop repeating your stack, decisions and preferences across Claude, Cursor and ChatGPT
  • Ask once โ€” no more hunting through 5 tools to remember why you chose X
  • Keep project architecture and stack context available across Claude, Cursor, and ChatGPT
  • Sync GitHub and Notion into unified project collections โ€” one context per repo
  • Stop pasting the same context into every new AI session
  • Share team context across agents and workflows
  • Build AI apps with persistent context through MCP or API

Real context from GitHub & Notion

Memxus reads your real work โ€” not generic memory snippets. Synced content lands in a unified collection per project: project:<slug>.

What gets synced

SourceContent indexed into context
GitHubRepos, READMEs, commits, pull requests, issues
NotionSelected workspace pages and docs
ManualDecisions, preferences, and notes via remember

How to connect

  1. Dashboard โ€” dashboard.memxus.com/integrations (GitHub App + Notion OAuth)
  2. From chat (MCP) โ€” connect_source โ†’ check_connect_status โ†’ list_syncable_items โ†’ set_sync_selection

How to use synced context

Call recall or get_context with collection=project:<slug> (or let semantic search find it). GitHub/Notion content is tagged and searchable alongside manual memories.

mermaid
flowchart LR
  Save["๐Ÿ’พ Save โ€” from any AI"] --> Memxus["๐Ÿง  Memxus โ€” your persistent memory"] --> Recall["โœจ Recall anywhere โ€” Claude ยท Cursor ยท ChatGPT ยท Gemini"]

Start saving in one message

After you connect Memxus to any AI, paste a line like this โ€” Memxus calls remember and your context is available everywhere:

text
Remember this in Memxus: we use Postgres + pgvector for semantic search.

No GitHub/Notion sync needed to start. Sync later when you want deeper project context.

Optional โ€” sync your whole stack: GitHub repos, Notion pages, files, docs and decisions become recallable context too.

Context Engine connector tools (4): connect GitHub/Notion from chat via MCP. Production advertises the 9 core tools; the 4 connector tools are enabled per account, so a newly connected client sees the core 9.


Connect in 1 second, one click

Code
URL:       https://mcp.memxus.com/mcp
Auth:      OAuth 2.1 (handled automatically)
Transport: Streamable HTTP

Claude Desktop (claude_desktop_config.json)

config.json
{
  "mcpServers": {
    "memxus": {
      "url": "https://mcp.memxus.com/mcp",
      "transport": "streamable-http"
    }
  }
}

Cursor / VS Code

config.json
{
  "mcp": {
    "servers": {
      "memxus": {
        "url": "https://mcp.memxus.com/mcp",
        "transport": "http"
      }
    }
  }
}

Or open directly in Glama Inspector โ†’
[https://glama.ai/mcp/inspector?url=https://mcp.memxus.com/mcp](https://glama.ai/mcp/inspector?url=https://mcp.memxus.com/mcp)

For marketplace reviewers: see REVIEWER.md for OAuth and Bearer token setup.


Supported platforms

PlatformIntegrationStatus
Claude Desktop / claude.aiRemote MCPโœ… Live
CursorRemote MCPโœ… Live
VS Code / Copilot MCPRemote MCPโœ… Live
ChatGPTCustom GPT / APIโœ… Live
GeminiMCP-compatible workflowโœ… Live
TelegramBot connectorโœ… Live
GitHubRepo sync (commits, PRs, issues, README)โœ… Live
NotionWorkspace page syncโœ… Live
DiscordBot connector๐Ÿ”œ Coming soon
SlackBot connector๐Ÿ”œ Coming soon
Any MCP-compatible clientRemote MCPโœ… Live

Available tools

Registry com.memxus/memxus v1.2.1 โ€” 9 core tools always available, plus 4 connector tools for GitHub/Notion sync from chat.

Core tools (9)

ToolDescription
rememberSave context โ€” manual input, decisions, or notes; optional project:<slug> collection
recallSemantic search across memories; GitHub/Notion synced content via project:<slug> or tags
get_contextFormatted context block from GitHub, Notion, and saved decisions for agent prompts
list_memoriesBrowse memories by collection, tags, type, or visibility
get_memoryRetrieve full content and metadata by memory ID
list_collectionsList scopes; GitHub/Notion syncs appear under project:<slug>
forgetDelete a memory permanently
memory_statsStats by type and collection
updatePatch or append existing memory content, tags, or type

Context Engine connector tools (4) โ€” v1.2.1

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
3
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
13
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Memxus Remote MCP

By providing a shared context layer that prevents repeated explanations and missing context across different AI tools, enabling faster and more accurate responses.

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Technical Specs & Signals

Category๐Ÿง Knowledge & Memory
More technical detailsExpand โ–พ
TransportSSE (Remote)
Last updatedAug 7, 2026
11/11 checks healthy over the last 33d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3
GitHub Star CountTotal stargazers on GitHub representing community popularity (3 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 30, 2026
55Quality signal: Good ยท 55/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools28/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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