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Living memory for AI coding agents: recall before acting, report outcomes so confidence is earned.
MemCell 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 MemCell to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add ai.memcell/memcell https://memcell.ai/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-08T05:32:35.33401Z",
"publishedAt": "2026-09-08T05:32:35.33401Z",
"statusChangedAt": "2026-09-08T05:32:35.33401Z"
}
},
"server": {
"name": "ai.memcell/memcell",
"title": "MemCell",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://memcell.ai/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"isSecret": true,
"isRequired": true,
"description": "Bearer <agent key>. Get one with `npx memcell connect` in a project, or from https://memcell.ai/agents"
}
]
},
{
"url": "https://memcell.ai/mcp/public/{memory}",
"type": "streamable-http",
"variables": {
"memory": {
"isRequired": true,
"description": "a public memory's slug from https://memcell.ai/commons — readable without an account"
}
}
}
],
"version": "0.8.0",
"packages": [
{
"version": "0.8.0",
"transport": {
"type": "stdio"
},
"identifier": "memcell",
"runtimeHint": "npx",
"registryType": "npm",
"packageArguments": [
{
"type": "positional",
"value": "mcp",
"description": "the stdio face of the paired instance's /mcp door"
}
]
}
],
"repository": {
"url": "https://github.com/memcell-ai/cli",
"source": "github"
},
"websiteUrl": "https://memcell.ai",
"description": "Living memory for AI coding agents: recall before acting, report outcomes so confidence is earned."
}
}