Montycat MCP - Shared Memory for AI Agents

Shared, persistent memory for AI agents, with semantic recall and live updates.

People who work with agent memory, codex and embeddings and want it reachable from Claude, Cursor, VS Code, or another MCP client. The project is written in Python.

VERIFIED ACTIVE

LAST COMMIT 2026-09-17 · ★ 54 · #31 OF 304 MAINTAINED MEMORY · VERIFIED 2026-09-18

MIT · Python servers · how we verify → /methodology

01 · Install Montycat MCP - Shared Memory for AI Agents

before you install - you'll need

Set MONTYCAT_URI, MONTYCAT_SUPEROWNER, MONTYCAT_PASSWORD before connecting. MONTYCAT_TLS is optional or environment-specific per the README.

Claude Code

claude mcp add montygovernance-montycat-mcp -- uvx montycat-mcp

Claude Desktop / Cursor / VS Code - add to config

{
  "mcpServers": {
    "montygovernance-montycat-mcp": {
      "command": "uvx",
      "args": [
        "montycat-mcp"
      ]
    }
  }
}

Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.

Using another client? Same JSON, different key

Claude Desktop · mcpServers

Cursor · mcpServers

VS Code · servers

Windsurf · mcpServers

Zed · context_servers

Cline · mcpServers

Roo Code · mcpServers

Continue · mcpServers

LibreChat · mcpServers

Gemini CLI · mcpServers

Codex CLI · mcp_servers

Full setup guides: every client.

02 · Evidence

Security posture

What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.

runs as local process (stdio) - runs on your machine with your user's permissions · container (OCI image) - can be sandboxed away from your filesystem

repo age created 2026-07-20 - young repo, little track record yet

license MIT - declared in the repository

pypi package montycat-mcp - check the name against the project README before installing (PyPI has no namespace ownership)

registry namespace io.github.MontyGovernance is GitHub-verified and matches the repo owner

03 · What Montycat MCP - Shared Memory for AI Agents can do

Prose above is summarized from the project's README and registry record - no invented capabilities.

Latest releases

v1.1.4 · 2026-09-10

1.1.4 - 2026-09-11 · Maintenance release. No tool, API, or engine-compatibility changes. · Changed · Refresh the 512×512 transparent directory icon carried by the Claude Desktop · extension, the Claude plugins, and the…

v1.1.3 · 2026-09-09

1.1.3 - 2026-09-08 · Changed · Add timestamp_field to montycat_semantic_search. since and until · now build native SDK Timestamp filters against the selected Timestamp index · field, defaulting to _created_at for…

v1.1.2 · 2026-09-07

1.1.2 - 2026-09-06 · Improves the product identity advertised to MCP clients. · Changed · Advertise Montycat MCP as the human-facing server name during the MCP handshake while retaining existing package IDs and Claude…

04 · Who maintains Montycat MCP - Shared Memory for AI Agents

Montycat MCP - Shared Memory for AI Agents is maintained by montygovernance. We track 2 MCP servers from montygovernance - 2 actively maintained, 108 combined GitHub stars, oldest repo from Jul 2026. Full record: all servers from montygovernance.

MemoCat - Shared AI Memory One shared, persistent memory across AI agents and systems, with semantic recall and live updates. ★ 54

05 · Facts

repository: github.com/montygovernance/montycat-mcp
category: memory - ranked #31 of 304 actively-maintained memory servers as of 2026-09-18.
release cadence: 10+ releases in the last 90 days (latest 2026-09-10)
registry: io.github.MontyGovernance/montycat-mcp (active, first published 2026-09-01 · 8 versions)
packages: pypi:montycat-mcp · oci:docker.io/montygovernance/montycat-mcp:1.1.4

06 · Montycat MCP - Shared Memory for AI Agents FAQ

What is Montycat MCP - Shared Memory for AI Agents?

Shared, persistent memory for AI agents, with semantic recall and live updates.

Is Montycat MCP - Shared Memory for AI Agents still maintained?

Yes - as of 2026-09-18, its last commit was 2026-09-17 and it shipped 10+ releases in the last 90 days. We re-verify nightly.

How do I install Montycat MCP - Shared Memory for AI Agents?

Run `uvx montycat-mcp`. The README documents 4 environment variables (MONTYCAT_URI, MONTYCAT_TLS, MONTYCAT_SUPEROWNER…) to set first. Set MONTYCAT_URI, MONTYCAT_SUPEROWNER, MONTYCAT_PASSWORD before connecting. MONTYCAT_TLS is optional or environment-specific per the README. You can also paste the ready-made client config above.

Does Montycat MCP - Shared Memory for AI Agents run locally?

Yes - it's a stdio server: it runs on your machine (via uvx) with your user's permissions. Your data stays local unless the server itself calls external APIs.

07 · Alternatives to Montycat MCP - Shared Memory for AI Agents

Alternatives to Montycat MCP - Shared Memory for AI Agents

Maintained memory servers if Montycat MCP - Shared Memory for AI Agents isn't the fit.

Pairs well with

Servers that cover what Montycat MCP - Shared Memory for AI Agents doesn't - only shown when the pairing reason fits the companion.

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