Humanity Commons vs Engram — MCP Server Comparison | AllMCPs
Humanity Commons vs Engram
A side-by-side look at the Humanity Commons and Engram MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Humanity Commons for knowledge & memory work over a hosted endpoint; choose Engram 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 Humanity Commons when
You need dedicated capabilities in the Knowledge & Memory domain.
No tool names declared yet. Check the project README from the listing page.
Engram tools 6
create_conversationStart a new conversation with optional title, tags, metadata
append_messagesAdd messages to an existing conversation
searchSemantic search across all conversations
get_conversationRetrieve a conversation with its messages
list_conversationsList conversations with filtering and pagination
delete_conversationRemove a conversation and its data
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.
Humanity Commons is categorized under Knowledge & Memory and uses a remote HTTP/SSE transport. Engram belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Humanity Commons for knowledge & memory work and Engram 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.
Humanity Commons has no declared pricing — check the project's own site. Engram 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 humanity-commons and engram-2 as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Humanity Commons has a quality signal of 39/100 (Fair) with 0 views, 0 installs and 1 GitHub stars. Engram has 57/100 (Good) with 1 views, 0 installs and 16 GitHub stars.