memory-mcp
com.letta · Updated
MCP server for AI memory management using Letta - Standard MCP format
At a glance
memory-mcp is an MCP server in the AI & Memory category. It runs locally over stdio via `npx -y @letta-ai/memory-mcp`, and needs LETTA_API_KEY. It scores B (63/100) on the MCP Skills Hub health score as of Oct 28, 2026.
One-click install
Opens your editor and pre-fills the config. Your editor will ask before adding it.
How to install memory-mcp in your AI client
Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.
How to install memory-mcp in Claude CodeAnthropic's agentic CLI
Add the server
bashclaude mcp add memory-mcp -e 'LETTA_API_KEY=<LETTA_API_KEY>' -- npx -y @letta-ai/memory-mcpFill in your credentials
Replace <LETTA_API_KEY> with your real value. Keep secrets out of any config file you commit.
Verify it's connected
bashclaude mcp listSharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes. It discovers them automatically.
How to install memory-mcp in Claude DesktopDesktop app (MCP config)
Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json
Add this server
json{ "mcpServers": { "memory-mcp": { "command": "npx", "args": [ "-y", "@letta-ai/memory-mcp" ], "env": { "LETTA_API_KEY": "<LETTA_API_KEY>" } } } }Fill in your credentials
Replace <LETTA_API_KEY> with your real value. Keep secrets out of any config file you commit.
Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.
How to install memory-mcp in CursorAI-first code editor
Create / edit .cursor/mcp.json in your project
json{ "mcpServers": { "memory-mcp": { "command": "npx", "args": [ "-y", "@letta-ai/memory-mcp" ], "env": { "LETTA_API_KEY": "<LETTA_API_KEY>" } } } }Fill in your credentials
Replace <LETTA_API_KEY> with your real value. Keep secrets out of any config file you commit.
Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.
How to install memory-mcp in Codex CLIOpenAI coding agent
Add to ~/.codex/config.toml
toml[mcp_servers.memory-mcp] command = "npx" args = ["-y", "@letta-ai/memory-mcp"] env = { LETTA_API_KEY = "<LETTA_API_KEY>" }Fill in your credentials
Replace <LETTA_API_KEY> with your real value. Keep secrets out of any config file you commit.
Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.
How to install memory-mcp in WindsurfCodeium's agentic IDE
Edit ~/.codeium/windsurf/mcp_config.json
json{ "mcpServers": { "memory-mcp": { "command": "npx", "args": [ "-y", "@letta-ai/memory-mcp" ], "env": { "LETTA_API_KEY": "<LETTA_API_KEY>" } } } }Fill in your credentials
Replace <LETTA_API_KEY> with your real value. Keep secrets out of any config file you commit.
Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.
How to install memory-mcp in ClineVS Code autonomous agent
Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.
Add the server
json{ "mcpServers": { "memory-mcp": { "command": "npx", "args": [ "-y", "@letta-ai/memory-mcp" ], "env": { "LETTA_API_KEY": "<LETTA_API_KEY>" } } } }Fill in your credentials
Replace <LETTA_API_KEY> with your real value. Keep secrets out of any config file you commit.
How to install memory-mcp in VS CodeCopilot / MCP support
Create .vscode/mcp.json
json{ "servers": { "memory-mcp": { "type": "stdio", "command": "npx", "args": [ "-y", "@letta-ai/memory-mcp" ], "env": { "LETTA_API_KEY": "<LETTA_API_KEY>" } } } }Fill in your credentials
Replace <LETTA_API_KEY> with your real value. Keep secrets out of any config file you commit.
Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.
What does memory-mcp need from you?
API key — Letta API key for memory operations
LETTA_API_KEYrequiredsecretEnvironment variableLetta API key for memory operations
LETTA_USER_IDoptionalEnvironment variableUnique user identifier for associated memories
Pass secrets through your shell environment rather than committing them into a config file.
What tools does memory-mcp expose?
This server runs as a local package. We only query remote servers for their tool list — asking this one would mean executing it, so its tools are listed in the documentation below.
What the code can do
Read from the published package source — never executed. Parsed 1 of 1 source file.
This server can read your environment variables.
How it was published
- No provenance attestation — there is nothing linking this published artifact to a specific source commit.
- 4 npm maintainers · last published by sarahwooders.
Maintainer of this package and think something here is wrong? Tell us and we'll correct it.
Before you install
Signals gathered from the source repo and package registry — not a safety verdict.
What it can reach
- Runs code on your machine — Executes as a local process with your user's permissions, including filesystem access.
- Downloads at launch — The package is fetched from its registry each run unless you pin a version.
- Package last published 1 year ago — No release in over a year.
Client compatibility
Health score
B · 63Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated
- Maintenance30%not measurable
No commit history available.
- Adoption20%not measurable
No usage data available.
- Transparency20%25%
1/4: ✓ public source repo, ✗ declared license, ✗ documentation, ✗ discoverable tool list.
- Provenance15%75%
Links to its own repository; package linkage unverified.
- Packaging15%100%
Publishes a pinned version (2.0.2).
Alternatives to memory-mcp
- Cairn.ink MemoryA · 80Cross-session memory for AI agents with a Source Receipt for every memory, over MCP.
- RE-call MCP Memory ServerB · 76Agent memory on your own Postgres that flags superseded facts and abstains instead of guessing.
- Atlaso MemoryB · 68Atlaso, the AI memory layer: one shared, persistent memory for every AI tool you connect.
- ctxstore — memory that follows you across modelsB · 65Persistent memory for AI agents: keyed facts, a wake bundle each session, one memory in every model.
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Shows its health grade, and links readers to install steps for every client.
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