Context7
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作者提供的说明(英文原文)
Read-only search over the meetings, dictations and writing saved by the Transcripted Mac app.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 r3dbars 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.1.76)于昨天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Read-only local tools for Transcripted meetings, dictations, and writing.
For Claude Desktop users, the best setup is inside the app:
Agent.Install in Claude.That path installs the bundled helper, updates Claude Desktop's config, and runs a local self-test.
The server exposes one interactive widget via the MCP Apps extension (io.modelcontextprotocol/ui, SEP-1865): call show_recent_meetings to render a card list of recent meetings — each with inline audio playback and a raw-transcript view — that draws inside a rendering-capable client. It is fully self-contained (no network; local audio/transcripts travel over the local transport), and falls back to a plain-text list in clients that do not render inline UI (e.g. the Claude Code CLI). Renders inline today in ChatGPT, VS Code, Cursor, and Goose; see docs/mcp-ui-recent-meetings.md for the per-client support matrix and how to try it.
Use this only when developing the MCP server directly:
swift build -c release
swift test
Binary:
.build/release/transcripted-mcp
Self-test:
.build/release/transcripted-mcp --self-test
The server reads the app-selected capture library first when Transcripted has written its local directory manifest or transcriptSaveLocation preference. Without a custom library, it reads:
~/Library/Application Support/Transcripted/captures/meetings
~/Library/Application Support/Transcripted/captures/dictations ~/Library/Application Support/Transcripted/captures/writing
Override paths with TRANSCRIPTED_DATA_DIR, TRANSCRIPTED_MEETINGS_DIR, TRANSCRIPTED_DICTATIONS_DIR, TRANSCRIPTED_WRITING_DIR, or TRANSCRIPTED_INDEX_DIR. If TRANSCRIPTED_DATA_DIR points at a shared root with meetings/, dictations/, or writing/ subfolders, transcripted-mcp uses those subfolders automatically and stores its SQLite index in that shared root unless TRANSCRIPTED_INDEX_DIR is also set. With per-kind meeting or dictation overrides, writing is read only when TRANSCRIPTED_WRITING_DIR is set too.
list_writing and read_writing mirror list_dictations and read_dictation for Writing_ .md day files (what the user typed with the Transcripted keyboard). search_context and recent_context take kind: "writing" and include writing in all. Writing search is full-text only; the on-device embeddings cover meetings and dictations.
The server can emit one anonymous PostHog event when each tracked capture query finishes (agent_capture_query_observed, see AgentCaptureQueryTelemetry.swift). result is one of success, empty_not_found, invalid_input, or internal_error. The payload is limited to coarse allowlisted metadata: client, tool, and capture kinds; latency and source- and result-count buckets; the result; and the owning app's validated app_version, build channel, and revision when available. Build identity is omitted when the app did not install it; the helper's own server version is never used as an app-version fallback. source_count_bucket means distinct capture files contributing to the response. result_count_bucket means returned records at that tool's natural response grain. Transcript text, query strings, capture IDs, titles, names, file paths, audio, and user identifiers are never properties.
It is gated twice:
observability-anonymous-analytics-enabled; off means nothing is sent)POSTHOG_API_KEY/POSTHOG_HOST, a local override, or the bundle's TranscriptedPostHogAPIKey; source builds have none by defaultTranscripts and audio never leave the Mac in any mode.
WS2.3 adds local structured retrieval tools for agents:
decisions(topic, range)commitments(person, range)open_questions(project, range)search_meetings(query, range)Each returns JSON receipts shaped around meetingId, timestamp, and quote. Summary-derived receipts have timestamp: null until exact audio anchors are available; raw utterance search includes the transcript timestamp. These tools use only the local SQLite index and saved summary/parser output.
Each release can also ship the helper as an MCP Bundle (transcripted-mcp.mcpb) for clients that install bundles directly, and list it in the official MCP Registry as io.github.r3dbars/transcripted.
The Publish MCP Bundle workflow does both. It copies the signed helper out of the release DMG, packs it with mcpb/manifest.json, attaches the bundle to the release, then fills in and publishes the root server.json. It runs when a release is published. There is no manual dispatch (it could run from any branch); to retry, re-run the job. Nothing is rebuilt, so the bundle keeps the notarized app's signature.
glama.json at the repo root claims the Glama listing for the maintainer.