mcpbeat Sign in

Penfield Memory MCP Server

by penfieldlabs Your server? Claim it
answering

Penfield Memory is answering right now. Last checked 1 min ago. Last commit 4 Apr 2026.

Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.

Uptime history 47 days of history · worst day 98%
47 days agonow
100.0%
Uptime 24h
92 of 92 checks
Tools
hidden behind auth
347 ms
Response time
average over 24h
6
Stars
last commit 4 Apr 2026

Nothing serious here today

Today is the operative word: we check Penfield Memory every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.

run in your terminal
claude mcp add penfield-mcp --transport http https://mcp.penfield.app/
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "penfield-mcp": {
      "url": "https://mcp.penfield.app/"
    }
  }
}
~/.codex/config.toml
[mcp_servers.penfield-mcp]
url = "https://mcp.penfield.app/"
.cursor/mcp.json
{
  "mcpServers": {
    "penfield-mcp": {
      "url": "https://mcp.penfield.app/"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "penfield-mcp": {
      "url": "https://mcp.penfield.app/"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://mcp.penfield.app/ streamable-http sign-in 345 ms 1 min ago

Alternatives to Penfield Memory

same job, measured the same way
RemembrallMCP
by cdnsteve

Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.

20 installs/wk local only
Contexta
by contexta

Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.

answering
Ori Memory
by aayoawoyemi

Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.

269 installs/wk local only
Neuromcp
by adelelo13

Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation

289 installs/wk local only
Memory
by humaux

Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.

answering
Ratary Memory MCP
by ontorata

Persistent coding memory for AI assistants. MCP stdio, hybrid search, graph, context.

34 installs/wk local only
Memory Nexus MCP
by kairosmobius

Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.

52 installs/wk local only
Nexus Memory MCP
by kairosmobius

Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.

44 installs/wk local only

Penfield Memory — questions

Answers built from our own checks of this server.

Why is there no tool list for Penfield Memory?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is Penfield Memory working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 347 ms. The bar chart above shows every period we have measured.
How do I connect Penfield Memory?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Penfield Memory?
No API key is involved. Penfield Memory answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Penfield Memory?
It answers our handshake in 347 ms on average, which is faster than 44% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Penfield Memory open source?
Yes — it is published under the AGPL-3.0 licence, written in Dockerfile and 6 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.