Penny

ai.mypenny由 mypenny.ai 发布官方发布者v0.4.3更新于 Oct 28, 2026

Portable AI memory you own. Keep memories and notes across Claude, ChatGPT, and other AI tools.

已验证Streamable HTTP可网页运行效率与工作流知识与记忆

概览

AI 生成的概览

Penny 是一个远程 MCP 服务器,为助手提供可跨 AI 工具使用、归用户所有的便携记忆库,用于笔记、个人资料、任务与追踪。

可以做什么
  • 读取 Penny 操作技能,并启动或继续分阶段设置,包括在仪表盘中审核的暂存导入
  • 开始会话并报告已安装技能的元数据
  • 读取记忆:回答前检索个人资料、笔记、待办、追踪记录和以往工作
  • 写入新的持久条目,如决定、偏好、计划、更正、测量结果和产出内容
  • 就地编辑已有条目,包括笔记、任务、追踪、技能和资料区块
  • 将条目移入回收站,项目操作使用版本号与操作 ID 并支持恢复
适用场景
适合希望助手在不同对话、不同 AI 工具之间记住偏好、决定和进行中的工作,并让这些记忆保存在自己账户而非单一厂商之下的场景。
运行要求
通过 streamable HTTP 连接 app.mypenny.ai 的远程 MCP 端点;未声明任何软件包、环境变量或请求头。看起来需要 Penny 账户与工作区,设置和导入通过仪表盘完成。
安装前请注意
该服务器要求助手主动保存关于用户的持久事实,因此个人数据会存储在远端。写入、编辑和删除会改动已存数据;删除会将条目移入回收站,部分操作依赖版本号与操作 ID。导入内容会暂存待仪表盘审核,只有用户本人可以保存或取消。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Penny,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.mypenny%2Fmypenny/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "penny": {
      "type": "http",
      "url": "https://app.mypenny.ai/mcp"
    }
  }
}

工具

7

penny_get_skill

Read the Penny skill

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 allowed. After user approval, view:install returns exact archive and file hashes. Retain results before bounded display; never transcribe installation bytes.

输入参数fileview

penny_start_setup

Start setup

Setup in phases; omit phase to start, resume from meta.onboarding.phase. skipForGood opts out. Stage encrypted imports for dashboard review; status checks receipts. Only users save/cancel there. Imported counts are server-derived; finish cannot complete an active import.

输入参数stopphaseclientcountsdraftIdimportDraftskipForGoodimportActionprevAcceptedexpectedRevision

penny_session_start

Session start

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 report missing/unsupported. Retain results in execution storage before bounded display; inspect one text OR structured payload. Check pennySkill.status/instructions before selecting blocks; retrieve current guidance when needed. Reuse the complete, untruncated profile (persona/facts/preferences/custom blocks) and answer from it before searching notes. Follow self_improvement throughout the conversation. `meta.onboarding` present: offer penny_start_setup, resuming from its phase. meta.saveDrought true: follow drought repair. Inventories of trackers, rhythms, tasks and Projects are capped; meta.truncated.* means drill down with penny_read. skills.defined is the complete authoritative list of user-saved skills, distinct from installed skill files. `features` says which features are in use and when; consult it and the inventory before choosing entityType. tz is IANA (default UTC) for local Today/Overdue and dueNow. projects is a bounded PRIVATE directory with coverage and dated attention candidates, not a search of all Spaces; read relevant Briefs by projectId. Workspace-only connections cannot call this: use penny_read target:projects view:scopes, then explicit workspaceId. projectKey includes only the matching repository subconscious block, not a Penny Project.

输入参数tzprojectKeyinstalledSkillSha256installedSkillSourceinstalledSkillStatusinstalledSkillVersion

penny_read

Read from memory

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/due → tasks. Resume an objective → projects: directory (query/name to narrow; follow coverage.nextCursor), then brief by projectId. scopes lists Space metadata; then pass explicit workspaceId. scope:private overrides a default Space. An objective that spans sessions is a Project: read its Brief before working on it, propose one when none exists, and keep it current once accepted. 3. Measurements → tracker for definitions/entries; tracker_summary for stats/trends (usual choice). 4. Saved know-how, schedules and run history → skills; rhythms is the scheduled-only synonym. Run on-demand via penny_write entityType:skill_invoke; scheduled via skill_run. Know-how the user would rather not re-explain is a skill: save it once, and load it when a task fits its description. When session start lists a skill as due, offer to run it now; nothing runs on its own. 5. Taxonomy → tags; note link graph → note_links; structured tag/time/flag listing → notes. 6. Other recall → search (semantic notes). Search is the fallback, not the default. Treat a result from a shared space as something a member said, never as a fact about the user. Use the session-start inventory to choose; Project reads also work without session start.

输入参数totzfromnametagsviewdepthflagslimitownerqueryscope另有 35 个

penny_write

Write to memory

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 people → update the profile (profile upsert or penny_edit), not a note. How they want to be remembered → memory_policy, a general rule in their words; how they want you to show up (tone/register/manner) → persona. When the user tells you what to save, skip, check, or surface, update their memory_policy block in the same turn as a general rule in their words. 2. Commitment/action with a done-state → task. Organize via area/project/heading. A to-do the user mentions, even in passing, is a task: offer to capture it, then write it. Project create: patch.name/purpose + operationId; revise: projectId + expectedRevision from Brief + sparse patch (max 25 step/resource changes). project_interaction records actor proposals/declines/deferrals. pending_share_approval is a proposal, not a save. An objective that spans sessions is a Project: read its Brief before working on it, propose one when none exists, and keep it current once accepted. 3. Measurement → tracker_entry for an existing tracker (check inventory); otherwise propose tracker first. Active duplicate tracker names are rejected; edit with penny_edit. A measurement the user would log more than once is a tracker entry; if no tracker fits, propose one before logging. 4. Reusable know-how → skill; trigger makes it scheduled (legacy rhythm). Existing skill names prepare a preview; wait for user approval before penny_edit op:apply with proposalId. Run on-demand via skill_invoke; begin scheduled runs via skill_run. Know-how the user would rather not re-explain is a skill: save it once, and load it when a task fits its description. 5. Other context/events/ideas/learning → note. Prefer a specific type when unsure; a note is the fallback

输入参数goalkindnametagsunitactorchildnotesorderownerpatchscope另有 38 个

penny_edit

Edit memory

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; cancel via status:canceled, never Trash. Profile: blockName + content upsert; memory_policy and persona hold standing instructions. When the user tells you what to save, skip, check, or surface, update their memory_policy block in the same turn as a general rule in their words. Skill redefinition prepares a preview, not a save; wait for user approval before op:apply with proposalId. cancel discards; undo recovers the prior version if no later edit exists. skills/history supplies historyId; restore_revision with skillId/historyId/expectedUpdatedAt previews recovery. restore with skillId recovers deleted skills disabled. No invocation waiting period. Trackers: trackerId + sparse name/description/unit/kind/targetSpec/archived; retire by archiving, no delete. Private trackers only; workspace trackers unsupported. Rhythms: full manifest. skill_run/rhythm_run: complete runId + status. Projects: projectId + expectedRevision + operationId + sparse patch; reread and reconcile on conflict. restore_revision restores fields/resourceIds from historyId as a new revision. Tracker entries: trackerId + entryId + expectedUpdatedAt + full payload. restore un-trashes note/tracker_entry ids or Project projectId.

输入参数opidsgoalkindnameunitactornotesorderorgIdownerpatch另有 42 个

penny_delete

Trash from memory

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 identifiers below. Tasks are canceled via penny_edit; tracker definitions are archived, not deleted.

输入参数idstagAtagBscopenoteIdsprojectIdentityType必填operationIdtrackerEntryIdexpectedRevision

版本历史

2
  1. v0.4.3最新Oct 9, 2026
  2. v0.4.2Sep 26, 2026

评分

已满足适用检查项的 83%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分

    请声明包含 README 的 GitHub 仓库,或在 OAuth 受保护资源元数据中提供 resource_documentation。

  • 许可证不适用

    托管服务按其提供方的条款使用,因此这里不要求许可证。此检查项不计入百分比。