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Shared, persistent memory for AI agents. Self-hosted MCP server with semantic search, vector RAG, and live updates. Works with Claude, Cursor, Codex, and any MCP client.

MCP ServersOfficial Registry41 stars2 forksPythonMITUpdated today
ClaudeWave Trust Score
95/100
Verified
Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 9/9/2026
Install in Claude Code / Claude Desktop
Method: UVX (Python) · montycat-mcp
Claude Code CLI
claude mcp add montycat-mcp -- uvx montycat-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "montycat-mcp": {
      "command": "uvx",
      "args": ["montycat-mcp"],
      "env": {
        "MONTYCAT_PASSWORD": "<montycat_password>"
      }
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Detected environment variables
MONTYCAT_PASSWORD
Use cases

MCP Servers overview

<img src="https://raw.githubusercontent.com/MontyGovernance/montycat-mcp/master/assets/icon.png" alt="Montycat logo" width="72" align="left" hspace="12"> 

# Montycat MCP - Shared Memory for AI Agents

**A self-hosted MCP server that gives AI agents persistent, searchable memory.**
Claude, Codex, Cursor, and any Model Context Protocol client write to one
memory and read each other's.

[![PyPI](https://img.shields.io/pypi/v/montycat-mcp.svg)](https://pypi.org/project/montycat-mcp/)
[![Python](https://img.shields.io/pypi/pyversions/montycat-mcp.svg)](https://pypi.org/project/montycat-mcp/)
[![License](https://img.shields.io/github/license/MontyGovernance/montycat-mcp.svg)](LICENSE)

<!-- mcp-name: io.github.MontyGovernance/montycat-mcp -->

- **Memory that survives the chat.** Decisions, preferences, and project context carry into the next session.
- **One memory, many agents.** Every MCP client you use works from the same facts.
- **Recall by meaning, keyword, or both.** Vector search finds a memory when the wording differs, BM25 nails exact identifiers, and hybrid mode fuses the two. Exact-key and metadata lookup too.
- **Yours.** Server, engine, and embeddings run on your machine. No hosted memory service, no cloud embedding API.

## Install

**Claude Desktop** — download
[`montycat-mcp.mcpb`](https://github.com/MontyGovernance/montycat-mcp/releases/latest/download/montycat-mcp.mcpb)
and drag it into Claude Desktop. No Python needed. That link always serves the
current release; [every release](https://github.com/MontyGovernance/montycat-mcp/releases/latest)
also carries a version-named copy and a `.sha256` to check it against.

**Claude Code** — install [`uv`](https://docs.astral.sh/uv/getting-started/installation/), then:

```text
/plugin marketplace add MontyGovernance/montycat-mcp
/plugin install montycat-mcp@montygovernance
```

`/mcp` confirms the `montycat` server is connected.

**Codex, Cursor, other MCP clients** — point your client's stdio config at
`uvx montycat-mcp` (Python 3.10+). For Codex:

```bash
codex mcp add montycat -- uvx montycat-mcp
```

## The engine

Memory lives in a [Montycat Semantic](https://montygovernance.com) engine.
Montycat MCP starts a local one for you, so most people can stop reading here.

Point it at an engine you already run:

```bash
export MONTYCAT_URI="montycat://memory-agent:password@localhost:21210/memories"
export MONTYCAT_TLS=true   # remote engines only
```

Or start one yourself with Docker:

```bash
docker run -d --name montycat -p 21210:21210 -p 21211:21211 \
  -e MONTYCAT_SUPEROWNER=admin -e MONTYCAT_PASSWORD=change-me \
  -v montycat_data:/var/lib/.montycat \
  montygovernance/montycat:semantic
```

On Apple Silicon use the `arm64-semantic` tag instead — `semantic` is the amd64
image, and it crashes under emulation. Port `21211` carries live memory watches.

## Use it

Talk to your agent normally; it picks the tool.

> Remember that the team chose PostgreSQL for the billing service.

> What did we decide about the billing database?

> Save this to the shared `engineering` scope.

`scope` decides where a memory lives — `alice` for private, `engineering` for a
team, `shared` for common. It is a namespace, not a security boundary: for real
isolation, give each MCP server its own least-privilege Montycat credential.

### Tools

| Need | Tools |
|---|---|
| Store | `montycat_remember`, `montycat_remember_bulk`, `montycat_update`, `montycat_forget` |
| Recall | `montycat_semantic_search`, `montycat_recall`, `montycat_list_memories` |
| Inspect schemas | `montycat_list_enforced_schemas` — check field names and data types before structured writes or filtered retrieval |
| Collaborate | `montycat_await_memory_change` — wait for another agent's write, no polling |
| Namespaces | `montycat_list_keyspaces`, `montycat_create_keyspace`, `montycat_remove_keyspace` |
| Admin | semantic index, snapshot, and policy tools — see the [plugin guide](plugins/montycat-mcp/README.md) |

Destructive tools are declared as such, so your client's confirmation prompts apply.

## Configuration

| Variable | Purpose |
|---|---|
| `MONTYCAT_URI` | Connection string: `montycat://user:password@host:port/store` |
| `MONTYCAT_TLS` | `true` for a remote TLS engine |
| `MONTYCAT_DEFAULT_KEYSPACE` | Memory namespace; `memory` by default |
| `MONTYCAT_SCOPE` | Default scope when a call omits one |
| `MONTYCAT_AUTO_PROVISION` | Create a permitted scope on first use; `true` by default |
| `MONTYCAT_AUTOSTART` | `off` to require an already-running engine |

Compose setup and the full variable list: [compose.yaml](compose.yaml) and the
[plugin guide](plugins/montycat-mcp/README.md).

## More

[Changelog](CHANGELOG.md) · [Privacy](PRIVACY.md) · [Issues](https://github.com/MontyGovernance/montycat-mcp/issues) · [Docs](https://montygovernance.com/docs) · [Docker Hub](https://hub.docker.com/r/montygovernance/montycat)

Existing MemoCat installs keep working: `memocat-mcp`, `MEMOCAT_*`, and
`memocat://` are still supported. New setups should use the Montycat names.

MIT
agent-memoryai-memoryclaudeclaude-codecodexcursorembeddingsllmlong-term-memorymcpmcp-servermodel-context-protocolmulti-agentpersistent-memoryragself-hostedsemantic-searchshared-memoryvector-databasevector-search

What people ask about montycat-mcp

What is MontyGovernance/montycat-mcp?

+

MontyGovernance/montycat-mcp is mcp servers for the Claude AI ecosystem. Shared, persistent memory for AI agents. Self-hosted MCP server with semantic search, vector RAG, and live updates. Works with Claude, Cursor, Codex, and any MCP client. It has 41 GitHub stars and its last recorded update is dated 2026-09-09.

How do I install montycat-mcp?

+

You can install montycat-mcp by cloning the repository (https://github.com/MontyGovernance/montycat-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is MontyGovernance/montycat-mcp safe to use?

+

Our security agent has analyzed MontyGovernance/montycat-mcp and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains MontyGovernance/montycat-mcp?

+

MontyGovernance/montycat-mcp is maintained by MontyGovernance. The last recorded GitHub activity is dated 2026-09-09, with 1 open issues.

Are there alternatives to montycat-mcp?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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