Server data from the Official MCP Registry
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Remote endpoints: streamable-http: https://mcp.penfield.app/
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-penfieldlabs-penfield-mcp": {
"url": "https://mcp.penfield.app/"
}
}
}From the project's GitHub README.
Persistent memory for AI agents. Store decisions, preferences, and context that survive across sessions. Build knowledge graphs that compound over time. Works with Claude, Cursor, Windsurf, Gemini CLI, and any MCP-compatible tool.
Add as a custom connector in Settings → Connectors:
Name: Penfield
Remote MCP server URL: https://mcp.penfield.app
claude mcp add --transport http --scope user penfield https://mcp.penfield.app
One-click install:
Cut and paste into your browser:
cursor://anysphere.cursor-deeplink/mcp/install?name=Penfield&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIm1jcC1yZW1vdGUiLCJodHRwczovL21jcC5wZW5maWVsZC5hcHAvIl19
Or add manually to ~/.cursor/mcp.json:
{
"mcpServers": {
"Penfield": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]
}
}
}
Add to your MCP configuration file:
{
"mcpServers": {
"Penfield": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]
}
}
}
| App | Config Location |
|---|---|
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| Cline | VS Code Settings → Cline → MCP Servers |
| Roo Code | VS Code Settings → Roo Code → MCP Servers |
| Zed | ~/.config/zed/settings.json under "context_servers" |
gemini mcp add penfield -- npx -y mcp-remote https://mcp.penfield.app/
Or add to ~/.gemini/settings.json:
{
"mcpServers": {
"Penfield": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]
}
}
}
17 tools for persistent memory:
| Category | Tools |
|---|---|
| Memory | store, recall, search, fetch, update_memory |
| Knowledge Graph | connect, disconnect, explore |
| Context | awaken, reflect, save_context, restore_context, list_contexts |
| Artifacts | save_artifact, retrieve_artifact, list_artifacts, delete_artifact |
Hybrid search combining BM25 (keyword), vector (semantic), and graph (connections) for recall that actually finds what you need.
Cross-platform sync — same memory, same knowledge graph, regardless of which tool you connect from.
Every session should start with:
awaken() # Load identity and personality context
reflect() # Orient on recent work (default: last 7 days)
Without these, your agent starts cold with no context.
Personal assistant that remembers
Development workflows
Research and writing
OpenClaw Native Plugin — If you use OpenClaw, the native plugin is 4-5x faster (no MCP proxy layer):
openclaw plugins install openclaw-penfield
openclaw penfield login
openclaw-penfield on GitHub · openclaw-penfield on npm
API — Direct HTTP access at api.penfield.app for custom integrations.
Copyright © 2025 Penfield™. All rights reserved.
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