Cortex vs Memora — MCP Server Comparison | AllMCPs
Cortex vs Memora
A side-by-side look at the Cortex and Memora MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Cortex for knowledge & memory work over a hosted endpoint; choose Memora for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Cortex when
You need dedicated capabilities in the Knowledge & Memory domain.
You prefer a remote HTTP/SSE transport.
You have the keys it needs: CORTEX_ACCESS_TOKEN, CORTEX_MCP_URL.
No tool names declared yet. Check the project README from the listing page.
Memora 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.
Cortex is categorized under Knowledge & Memory and uses a remote HTTP/SSE transport. Memora belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Cortex for knowledge & memory work and Memora for knowledge & memory.
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.
Cortex has no declared pricing — check the project's own site. Memora is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: no auth required. 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 cortex-5 and agentic-mcp-tools-memora as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Cortex has a quality signal of 40/100 (Fair) with 1 views, 0 installs and 1 GitHub stars. Memora has 56/100 (Good) with 3 views, 0 installs and 735 GitHub stars.