Cognitive AI Memory vs Notch
A side-by-side look at the Cognitive AI Memory and Notch MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
N
NotchMultimedia Process · Remote HTTP/SSETurn product pages and creative briefs into finished video and image ads from your AI chat.45FairAuth: not declaredVerdict: choose Cognitive AI Memory for knowledge & memory work as a local process; choose Notch for multimedia process over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Cognitive AI Memory when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
NChoose Notch when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a remote HTTP/SSE transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | N Notch | |
|---|---|---|
| Category | Knowledge & Memory | Multimedia Process |
| Quality signal | 47/100 · Fair | 45/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner |
Tools & capabilities
Cognitive AI Memory tools
No tool names declared yet. Check the project README from the listing page.
Notch tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Cognitive AI Memory
{
"mcpServers": {
"cognitive-ai-memory": {
"command": "uvx",
"args": [
"yourmemory"
]
}
}
}
Notch
{
"mcpServers": {
"notch": {
"url": "https://app.usenotch.ai/mcp/setup"
}
}
}
Frequently asked questions
Cognitive AI Memory is categorized under Knowledge & Memory and uses a local stdio subprocess. Notch belongs to Multimedia Process and uses a remote HTTP/SSE transport. Pick Cognitive AI Memory for knowledge & memory work and Notch for multimedia process.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Cognitive AI Memory has no declared pricing — check the project's own site. Notch has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add cognitive-ai-memory and notch as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Cognitive AI Memory has a quality signal of 47/100 (Fair) with 2 views, 0 installs and 270 GitHub stars. Notch has 45/100 (Fair) with 26 views, 12 installs and 0 GitHub stars.
