memsprout
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@memsproutwhat did we decide about the database migration last sprint?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: AgentBase
One-command setup
npx memsproutDetects 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@memsproutThe 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/agentsInstalls 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/mcpThe 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/mcpStreamable 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
This server cannot be deployed
Maintenance
Related MCP Connectors
Cross-tool persistent memory and context for AI assistants over MCP.
Persistent memory, knowledge graph, task management and more for AI agents via MCP.
- KogniteOAuthdev.kognite
Hosted agent memory: store, search, and recall facts across sessions from any MCP client.
Shared, peer-validated knowledge archive for AI agents — search, contribute, and validate via MCP
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