Montycat MCP - Shared Memory for AI Agents
MCP serverDocs & knowledgeMontycat gives your AI a shared memory that persists across conversations. Once added, your AI can recall past context semantically and stay up to date with live changes, so it remembers what matters even between sessions.
Unavailable. This server has no hosted endpoint yet, so ahel can't serve it.
Add Montycat and start saving things you want your AI to remember. Then ask it questions later and it will pull up the relevant context on its own.
What your AI can do with it
- Remember information across conversations
- Recall relevant past context by meaning, not just keywords
- Share memory between different AI agents
- Pick up live updates as stored information changes
From the project's README
As published by montygovernance/montycat-mcp in README.md.
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.
- 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
and drag it into Claude Desktop. No Python needed. That link always serves the
current release; every release
also carries a version-named copy and a .sha256 to check it against.
Claude Code — install uv, then:
/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:
codex mcp add montycat -- uvx montycat-mcp
The engine
Memory lives in a Montycat Semantic engine. Montycat MCP starts a local one for you, so most people can stop reading here.
Point it at an engine you already run:
export MONTYCAT_URI="montycat://memory-agent:password@localhost:21210/memories"
export MONTYCAT_TLS=true # remote engines only
Or start one yourself with Docker:
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
engineeringscope.
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 |
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 and the plugin guide.
More
Changelog · Privacy · Issues · Docs · Docker Hub
Existing MemoCat installs keep working: memocat-mcp, MEMOCAT_*, and
memocat:// are still supported. New setups should use the Montycat names.
MIT
Signals
- GitHub stars
- 45
- Forks
- 3
- Last commit
- Sep 2026
Advanced
- Delivery
- montycat-mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-montygovernance-montycat-mcp- Source
- github.com/montygovernance/montycat-mcp