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One shared, persistent memory across AI agents and systems, with semantic recall and live updates.
MemoCat — Shared AI Memory is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding MemoCat — Shared AI Memory to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx memocat-mcp==0.4.3Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-01T05:27:29.517924Z",
"publishedAt": "2026-09-01T05:27:29.517924Z",
"statusChangedAt": "2026-09-01T05:27:29.517924Z"
}
},
"server": {
"name": "io.github.MontyGovernance/memocat-mcp",
"title": "MemoCat — Shared AI Memory",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.4.3",
"packages": [
{
"version": "0.4.3",
"transport": {
"type": "stdio"
},
"identifier": "memocat-mcp",
"registryType": "pypi",
"environmentVariables": [
{
"name": "MONTYCAT_URI",
"format": "string",
"isSecret": true,
"description": "Optional Montycat engine URI: montycat://user:password@host:port/store"
},
{
"name": "MONTYCAT_TLS",
"format": "string",
"description": "Set to true when connecting to a TLS-enabled remote Montycat engine"
}
]
},
{
"transport": {
"type": "stdio"
},
"identifier": "docker.io/montygovernance/memocat-mcp:0.4.3",
"registryType": "oci",
"environmentVariables": [
{
"name": "MONTYCAT_URI",
"format": "string",
"isSecret": true,
"description": "Optional Montycat engine URI: montycat://user:password@host:port/store"
},
{
"name": "MONTYCAT_TLS",
"format": "string",
"description": "Set to true when connecting to a TLS-enabled remote Montycat engine"
}
]
}
],
"repository": {
"url": "https://github.com/MontyGovernance/memocat-mcp",
"source": "github"
},
"description": "One shared, persistent memory across AI agents and systems, with semantic recall and live updates."
}
}