Engram vs Penfield MCP

A side-by-side look at the Engram and Penfield MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Engram logoEngramKnowledge & Memory · Local subprocess (stdio)Persistent memory for AI agents — verbatim conversations, searchable by meaning.57GoodAuth: not declaredPenfield MCP logoPenfield MCPKnowledge & Memory · Local subprocess (stdio)Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client.49FairAuth: oauth 2.0

Verdict: choose Engram for knowledge & memory work as a local process; choose Penfield MCP 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?

Engram logoChoose Engram when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like create_conversation, append_messages, search.
Explore Engram

Penfield MCP logoChoose Penfield MCP when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: OAuth 2.0.
Explore Penfield MCP

Feature & specification comparison

Rows where the two servers differ are marked.

SpecEngram logoEngramPenfield MCP logoPenfield MCP
CategoryKnowledge & MemoryKnowledge & Memory
Quality signal57/100 · Good49/100 · Fair
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredOAuth 2.0
PricingNot declaredFree
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars186
Directory activity 2 views 0 installs 0 upvotes 4 views 0 installs 0 upvotes
Tools6Not listed

Tools & capabilities

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

Penfield MCP 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.

Engram

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "engram-2": {
      "command": "npx",
      "args": [
        "-y",
        "@getengram/cli"
      ]
    }
  }
}

Penfield MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "penfieldlabs-penfield-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote"
      ]
    }
  }
}

Frequently asked questions

Engram is categorized under Knowledge & Memory and uses a local stdio subprocess. Penfield MCP belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Engram for knowledge & memory work and Penfield MCP 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.

Engram has no declared pricing — check the project's own site. Penfield MCP is listed as free. Auth: oauth 2.0. 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 engram-2 and penfieldlabs-penfield-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Engram has a quality signal of 57/100 (Good) with 2 views, 0 installs and 18 GitHub stars. Penfield MCP has 49/100 (Fair) with 4 views, 0 installs and 6 GitHub stars.