English Français العربية

memsprout

Official registry Search and web

shared AI-context layer for teams — persistent memory your agents search and update over MCP

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http memsprout 'https://mcp.memsprout.com/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "memsprout": {
            "type": "http",
            "url": "https://mcp.memsprout.com/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. memsprout for AI agents
  2. Before you install
  3. One-command setup
  4. Claude Code
  5. claude.ai and Claude Desktop
  6. Agent Skill via skills.sh
  7. Cursor
  8. Codex
  9. Any other MCP client
  10. What's in this repo
  11. Support

memsprout for AI agents

memsprout is a shared AI-context layer for teams — persistent memory your agents search and update over MCP. Every agent and tool you connect reads and writes the same knowledge base, so context survives across sessions, models, and clients. This repo packages the connection two ways: a Claude Code plugin (remote MCP server + a usage skill) and a standalone Agent Skill that works in any client that reads SKILL.md.

Before you install

Create an account at memsprout.com first. The OAuth sign-in that opens when a client first connects does not create accounts — it only signs in existing ones.

One-command setup

npx memsprout

Detects your installed MCP clients (Claude Code, Codex, Gemini CLI, Cursor), wires each selected one to the server, and offers to scaffold the team files into your repo. Non-destructive, idempotent, stores no credentials. Source in installer/. Not yet published to npm — until it is, use the per-client instructions below.

Claude Code

/plugin marketplace add memsprout/agents
/plugin install memsprout@memsprout

The plugin adds the memsprout MCP server and the using-memsprout skill. The first connection opens the browser OAuth flow.

claude.ai and Claude Desktop

Add memsprout as a custom connector: Settings → Connectors → Add custom connector, with the server URL below. Sign in when the memsprout consent screen opens.

Agent Skill via skills.sh

npx skills add memsprout/agents

Installs the using-memsprout skill, which teaches your agent when and how to use memsprout's tools. You still need the MCP server connected (see below) — the skill describes the doctrine; the server provides the tools.

Cursor

The cursor/ directory has copy-in files for both motions: merge cursor/mcp.json into ~/.cursor/mcp.json for yourself, or commit it as .cursor/mcp.json plus the cursor/rules/memsprout.mdc project rule to your team's repo so every teammate's Cursor shares the same memory. See cursor/README.md.

Codex

codex mcp add memsprout --url https://mcp.memsprout.com/mcp

The Codex CLI, IDE extension, and ChatGPT desktop app share ~/.codex/config.toml, so this one command wires all three. For team setup, append the client-agnostic codex/AGENTS-snippet.md to your repo's AGENTS.md so every AGENTS.md-reading agent follows the team's memory doctrine. See codex/README.md.

Any other MCP client

Point your client at the remote server:

https://mcp.memsprout.com/mcp

Streamable HTTP with OAuth 2.1 — clients that support MCP authorization discover the sign-in flow automatically. Per-client wiring instructions (Codex, Gemini CLI, Cursor, and more) are at memsprout.com/connect.

What's in this repo

.claude-plugin/marketplace.json      Claude Code marketplace manifest
memsprout/                           the plugin
  .claude-plugin/plugin.json         plugin manifest
  .mcp.json                          remote MCP server config
  skills/using-memsprout/SKILL.md    usage skill
mcp-registry/                        official MCP Registry manifest + publish runbook
  server.json
  PUBLISH.md
cursor/                              Cursor setup files (individual + team)
  mcp.json                           MCP config — global or repo-committed
  rules/memsprout.mdc                always-applied project rule (memory doctrine)
codex/                               Codex setup (individual + team)
  AGENTS-snippet.md                  client-agnostic AGENTS.md section (memory doctrine)
installer/                           npx installer (npm package "memsprout")

Support

  • Product: memsprout.com
  • Issues with this plugin or skill: open an issue in this repo

Frequently asked questions

What is memsprout?

shared AI-context layer for teams — persistent memory your agents search and update over MCP

How do I install memsprout?

It runs as a remote server. In Claude Code: claude mcp add --transport http memsprout 'https://mcp.memsprout.com/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does memsprout need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is memsprout open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains memsprout?

It is published by memsprout. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.