MCP server
Penny
ai.mypenny/mypenny
Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools
Portable AI memory you own. Keep memories and notes across Claude, ChatGPT, and other AI tools.
Working at last checkVerified publisher: mypenny.aiAbout 9,900 tokens per request once connected7 tools
https://app.mypenny.ai/mcp
At a glance
- Type
- MCP server
- Publisher
- mypenny.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 7
- Token cost
- About 9,900 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 28 Oct 2026, 09:03 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http mypenny https://app.mypenny.ai/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.mypenny] url = "https://app.mypenny.ai/mcp"
Gemini CLI
{"mcpServers":{"mypenny":{"httpUrl":"https://app.mypenny.ai/mcp"}}}
Cursor
{"mcpServers":{"mypenny":{"url":"https://app.mypenny.ai/mcp"}}}
VS Code
{"servers":{"mypenny":{"type":"http","url":"https://app.mypenny.ai/mcp"}}}
Antigravity
agy mcp add mypenny https://app.mypenny.ai/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"mypenny","server_url":"https://app.mypenny.ai/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"mypenny","server_url":"https://app.mypenny.ai/mcp"}
Tools
penny_deleteDeletes data · ~436 tokens
Move to Trash. Project: projectId + expectedRevision + operationId; penny_edit op:restore recovers. Repeat in_progress with the same operationId; report partial_recovery conflicts. Note/tracker_entry: ids (max100); skill/rhythm: one id; profile_block: ids are block names. Tag/link removal uses the ipenny_edit~2493 tokens
When the user corrects something on file, or a task, tracker, skill, or block needs to change, edit the existing item rather than writing a duplicate. Modify what already exists; entityType uses the same taxonomy as penny_write (see ladder). Notes: updates[] patch/replace, max100. Tasks: taskId; canpenny_get_skill~226 tokens
Read the current Penny operating skill when missing or stale, including after a catalog refresh. Reuse files already read this conversation while current. Default SKILL.md; fetch manifest references when their cues apply. Product guidance, separate from user-saved skills; workspace-only access allowpenny_read~2183 tokens
Before answering anything the user's history, preferences, or prior work would inform, read — search rather than assume nothing is on file. Choose target: walk this ladder, first match wins: 1. User/people facts (names, preferences, relationships) → profile. Do NOT search notes for this. 2. To-dos/dpenny_session_start~724 tokens
Call ONCE at the start of every conversation, before the first substantive reply. First read the installed Penny skill; report its exact metadata via installedSkillStatus/Version/Sha256/Source. Missing or unversioned metadata must not be guessed from plugin/catalog versions; unsupported hosts reportpenny_start_setup~527 tokens
Setup in phases; omit phase to start, resume from meta.onboarding.phase. skipForGood opts out. Stage an encrypted import, show showUser, then save or discard as the user says. While an import is open, finish can't complete setup.penny_write~3311 tokens
Save the moment something durable emerges — a decision, preference, plan, correction, a to-do, a measurement, or something you produced — mid-conversation and unprompted; when the call is close, save. Choose entityType: walk this ladder, first match wins: 1. Durable fact about the user or their peop
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