Server data from the Official MCP Registry
shared AI-context layer for teams — persistent memory your agents search and update over MCP
shared AI-context layer for teams — persistent memory your agents search and update over MCP
Remote endpoints: streamable-http: https://mcp.memsprout.com/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
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Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-memsprout-memsprout": {
"url": "https://mcp.memsprout.com/mcp"
}
}
}From the project's GitHub README.
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.
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.
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.
/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.
Add memsprout as a custom connector: Settings → Connectors → Add custom connector, with the server URL below. Sign in when the memsprout consent screen opens.
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.
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 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.
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.
.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")
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