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memsprout

memsprout

Remote
memsprout.comMemory & Knowledge0Updated 14w ago

About memsprout

memsprout provides shared persistent memory for teams’ agents, carrying context across sessions, models, and clients. It combines an MCP server with skills and setup files for several clients.

Key features

  1. 01Shared team knowledge base
  2. 02Persistent cross-session context
  3. 03Search and update memory via MCP
  4. 04Claude Code plugin and usage skill
  5. 05Standalone Agent Skill

Use cases

  1. 01Keep team context available across agent sessions
  2. 02Let connected agents search and update shared memory
  3. 03Add memsprout to supported clients

MCP support

Its remote MCP server lets connected agents search and update the team knowledge base. It uses Streamable HTTP and OAuth 2.1.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.memsprout.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

memsprout for AI agents

smithery badge Glama

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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.