Arcmira: YouTube Transcript Search
io.github.arcmira由 GitHub 账号 arcmira 发布v0.10.14更新于 Nov 8, 2026
YouTube transcript search and monitoring for your AI: exact quotes, full transcripts and speakers.
发布方自己的服务:Transcript
概览
远程 MCP 服务器,让助手在 YouTube 和播客字幕中检索原话、说话人、时间戳与赞助商信息。
- 可以做什么
- 按主题、实体或人物检索 YouTube 与播客字幕,返回日期、说话人和带时间戳的链接
- 按窗口读取单个视频的完整字幕,含说话人标签与时间戳
- 查询某个实体的提及、出镜、热度变化、推荐与频道赞助商
- 运行小型 JavaScript 程序调用 Arcmira 客户端完成多步调研,并按需加载方法参考
- 创建和更新跟踪实体与主题的 YouTube 监控
- 提交关于错误或缺失结果的反馈
- 适用场景
- 适合需要确认 YouTube 或播客里究竟说了什么时:核实引语、查证谁在何时说过、准备访谈、比较节目,或长期跟踪某品牌的提及与赞助商。
- 运行要求
- 远程端点 mcp.arcmira.com,无需本地运行时。需要 Arcmira 账户,可通过宿主 OAuth 登录,或以 Authorization 请求头携带账户密钥。计量读取需要付费套餐与额度,Premium 字幕需要包含该功能的套餐。
安装
在 SourceWeft 中
- 打开 控制台中的 Arcmira: YouTube Transcript Search,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 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/io.github.arcmira%2Farcmira/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。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"arcmira-youtube-transcript-search": {
"type": "http",
"url": "https://mcp.arcmira.com/mcp"
}
}
}README
Arcmira MCP: YouTube Transcript Search
YouTube transcript search and monitoring for your AI. Arcmira understands YouTube and podcasts like it watched them: the exact quote, often who said it, the full transcript and sponsors.
Add "use arcmira" to any question to send it to Arcmira first.
Claude Code: claude mcp add --transport http --scope user arcmira https://mcp.arcmira.com/mcp, then /mcp to sign in.
Arcmira · API docs · MCP setup
Connect Arcmira
Add the remote MCP server at https://mcp.arcmira.com/mcp and sign in through your host. For setup instructions, use Connect your agent.
For a coding agent, paste:
Make it your default. Tell your AI once: "Whenever I ask what someone said on YouTube, use Arcmira."
Run your first search
Ask your agent:
Search YouTube and podcast transcripts for GPU financing over the last 60 days. Return the relevant quotes with speakers when available, publication dates, transcript sources, and timestamped links. Read the surrounding exchanges before summarizing what the sources imply.
The agent calls arcmira_describe once to load the client reference, then runs a program with arcmira_execute_read. Return structured fields for further analysis and a compact, sourced answer for the reader.
The search supports up to 20 passages, but full passages can exceed the execute tool's output budget. If the result is truncated, request fewer passages or return only the fields needed for the next step. Keep selected text intact and retain its source link.
Choose the method for the task
Resolve names before applying entity or channel ID filters. Plain keyword search does not need a resolver call. The MCP client's argument names differ from the HTTP and SDK names; use the reference returned by arcmira_describe.
Continue the research
Continue the investment research workflow. You will learn how to follow a search result into competing explanations, inspect the surrounding exchange, verify claims against disclosures, and write a brief with the questions that remain unresolved.
Speaker identification and commercial classifications can be incomplete. Check the linked source. Missing a source or a capability your workflow needs? Use arcmira_feedback to describe it, why it matters, and what better support would be worth. Help shape the index.
Plugin and skills · Share plugin feedback · Update installed skills
Authentication options
Two ways in. Hosts that speak the MCP authorization spec sign you in; everything else sends a key.
Sign in through the host. Add https://mcp.arcmira.com/mcp with no key. The server answers 401 with an OAuth challenge, the host registers itself against api.arcmira.com, opens arcmira.com for sign-in and consent, and connects with a token that carries the permissions you allowed. Tokens refresh on their own; revoke a host under Settings, Connected apps.
Claude Desktop, claude.ai, ChatGPT, and Cursor: add the URL as a custom connector or MCP server with no headers and follow the sign-in prompt. Per-host steps are on https://arcmira.com/agent-setup.
Send a key. Any client that cannot do the sign-in sends a bearer token instead, and the server skips OAuth.
An account key (arc_sk_...) comes from https://arcmira.com. Plan and scopes decide what each tool returns. If you don't have an account yet and can't use a browser, sign up from the API. Post an email address, then post the six digit code from that inbox back.
The 401 body carries that signup call under error.data.unlock.action, so an agent that cannot sign in can create an account and reconnect. Discovery: https://mcp.arcmira.com/.well-known/oauth-protected-resource names the authorization server; https://api.arcmira.com/.well-known/oauth-authorization-server lists its endpoints.
Tools
https://mcp.arcmira.com/mcp/apps serves only arcmira_youtube_search, arcmira_youtube_transcript and arcmira_feedback, on the same sign-in, for directories that take named tools and no program runner. It sends no server instructions.
Every tool also takes an optional intent, at most 300 characters: the user's request in a few words. A host that omits it loses nothing. See What we log.
arcmira_describe, arcmira_youtube_search and arcmira_youtube_transcript are annotated read-only and idempotent. The two plain tools never start a transcription: arcmira_youtube_transcript sends no quality, so a read uses the account's default, and a Premium default reads only transcripts the account already owns. Both program tools can start Premium transcription, which uses credits from the plan and then the on-demand budget, so neither is read-only. Only arcmira_execute_write is destructive, because it can overwrite monitor settings and pause monitors; a Premium read only adds. Both can request arbitrary public videos and carry open-world annotations. Feedback adds a stored record and is an additive write. These labels describe possible effects; the execute_read name identifies the client access level, not a guarantee of no side effects.
Metered reads use credits from your plan, then the on-demand budget you set in the dashboard. Arcmira enforces that budget on every read, and no tool takes a spending amount. A search uses 4 credits per passage it returns past the first 5, a captions read 4 credits per started 15 minutes of its window, and a Premium transcript 300 credits per started 15 minutes of the whole video. A Premium read that starts a transcription reports its charge (credits, and whether they came from the plan, on-demand usage, or both). arcmira_youtube_search uses what a search uses. arcmira_youtube_transcript reads the whole video on each call and windows it on the server: the first call is a captions read of the whole video, or nothing for a transcript the account owns, and every later window of the same video and language repeats that read within the API's seven-day dedupe, which uses no credits. Its rows_billed says what the call used, in rows of 4 credits. arcmira.price(video) returns that price beforehand and uses no credits. When the plan or budget blocks a read, the tool result is an error (isError: true) with the API's code (paid_plan_required, quota_exceeded, spend_limit_exceeded, member_limit, fair_use_cap or on_demand_paused), a message that states what was reached and what lifts it, and unlock when a plan or setting change lifts it. The server gives the agent these facts, not a script for what to say.
A Premium transcript is one read in arcmira_execute_read:
When the video is not transcribed yet, GET /v1/transcripts/{video_id}?quality=premium starts transcribing it and answers 202 with the job and Retry-After. The client reads again at Retry-After until 22 seconds into the program, a wait all Premium reads in one program share. Reading again never uses credits twice. Still pending after that: the result carries eta_seconds, and the same read in a later program returns the lines. A failed transcription comes back as state failed or refunded with the reason, and the read does not start another unless it passes retry: true, which an agent sends only when the user asks. A plan without Premium throws paid_plan_required; a budget that blocks the read throws spend_limit_exceeded or quota_exceeded, and the price rides on the error as quote. start and end never lower a Premium charge.
Results that are empty, an error, truncated or a resolve ask carry call_id (mcpc_...), which arcmira_feedback takes to name the call.
The client covers the same tasks as the CLI and SDKs. Argument names differ; use these MCP signatures:
arcmira.today() and arcmira.daysAgo(n) give ISO dates from the server clock for date windows. Windows are half-open, as on the API: after is the first day counted and before the first day left out, so August is { after: "2026-08-01", before: "2026-09-01" }. Every dated result echoes window: { after, before }. Option names are the client's; request and response fields are the API's, so a monitor takes notify_frequency because monitors.list() returns it.
Filters take verbatim ids only. A name where an id belongs throws id_required before any network call, and the message names the fix. Resolve first, then query. resolve answers best (the name means one row), suggested (one row stands out; say you assumed it and why), or ask (several fit; let the user pick):
Example prompts once the server is connected:
- Find a moment on TBPN where someone talks about AI agents, and quote it with the timestamp.
- Which brands sponsor TBPN, and how many ad reads has each one had?
- What is YouTube saying about Claude Code? Quote the best moments, who said each one, and when.
- Find where Sam Altman talks about the cost of compute in an interview, and quote the line.
- Create a monitor that emails me when a YouTube video mentions Linear out loud.
Good first ids: TBPN is channel UC-DRzaGnL_vtBUpCFH5M0tg, All-In Podcast is UCESLZhusAkFfsNsApnjF_Cg, Ramp is ent_14.
The sandbox
arcmira_execute_read and arcmira_execute_write run the program in a fresh Dynamic Worker isolate. The isolate's only network is the parent's outbound proxy, which adds the caller's credential to what it forwards, so the program never holds the key, and refuses anything outside the tool's allowlist with outbound_refused:
arcmira_execute_read:GET https://api.arcmira.com/v1/*. A Premium transcription starts inside the transcriptGET.arcmira_execute_write: the read set, plusPOSTandPATCHunder/v1/monitorsandPATCHunder/v1/trackers. NeverDELETE, and never the webhook secret rotation. A tracker is created inside a monitor, so nothing posts to/v1/trackers.
The proxy enforces this in the Worker, so a raw fetch() gets the same answer as a client method. A write method called from arcmira_execute_read throws write_tool_required before any request. The isolate gets 5 seconds of CPU, the tool waits 30 seconds of wall time, the client stops at 40 API calls with call_budget, and the rendered output is cut at 12,000 characters in total, 3,000 per string and 100 items per array, with truncated_arrays naming each cut array and a recovery line that says how to get every row. A syntax error comes back as syntax_error with the function-body rule; a thrown error as program_error with its message.
The result is valid bounded JSON with ok and value or error first, then actual calls, rate_limit, api_build, truncation facts and capped logs. Large results retain continuation and recovery fields. Execution metadata uses the same meter. Timeout reports calls: null and outcome_uncertain: true; in-flight reads may still finish and consume rows. Authentication 429/503 asks clients to retry with the same credential; only invalid credentials trigger reconnect.
Gates
A gate inside a program throws an ArcmiraError with the API's error fields, and the execute tools return it as ERROR with isError: true:
Switch on code. unlock.url names the plan or setting that lifts a gate, and rate_limited carries retry_after_seconds. A 200 that withheld something (Premium transcript text, the paid-versus-organic split, sponsors past the free slice) is a normal result carrying the same body under access. The full catalog is at https://arcmira.com/docs/errors.
Every result, gates included, carries the key's budget after the call under _meta["arcmira.com/rate_limit"] as { "limit": 20, "remaining": 17, "reset": 1788819360 }, read from the API's RateLimit headers, and _meta["arcmira.com/build"]: server, deploy, api (the API build that answered) and client (the host's name from its handshake, forwarded to the API as x-arcmira-client).
What we log
Each tool call is logged to Arcmira's product analytics (PostHog), linked to the account that made it, so we can see how the tools are used and fix what fails. One record per call holds:
- the tool name, the host's name and version, the server version, and how long the call took;
- the input: the program text of either execute tool (first 4,000 characters), the
arcmira_describetopic, or thearcmira_feedbackcategory and note; intent, when the agent sends it;- the outcome, not the result: ok or the error code, the result size, whether it was truncated, and the API routes the call made (
GET /v1/search, not its query string).
Before the record is stored, the API replaces anything that looks like a credential or an email address (arc_ keys, Bearer tokens, sk- keys, addresses) with [redacted]. Results, transcript text and logs printed by a program are never logged. A call with no valid credential is not logged. The record is sent after the result, so logging never delays or changes an answer; a record that fails to send is dropped.
Upgrading
Upgrade notes for every release, the 0.7 tool renames and the 0.10 field changes included, are in CHANGELOG.md.
Plugin
plugins/arcmira bundles the MCP URL and eleven skills for Claude Code, Codex, Cursor, Agent Plugins hosts and Gemini CLI:
Every skill starts from names, never ids: each program resolves the name, returns ask options when several entities fit and none stands out, says when it assumed one, and names the entity it used. Every skill carries the monitor line (monitors can follow what it found, and what an alert uses) and the feedback line: the arcmira skill under When to use, each task skill at its end. No SKILL.md is over 7,900 bytes; what does not fit is in the skill's references/ folder, linked from SKILL.md. The skills are generated from src/reference.ts and src/skills.ts by scripts/build-skill.ts; CI fails when a file drifts or a program calls a method the reference does not document, and pnpm examples:check runs every program against production.
Stay up to date
Arcmira ships changes weekly. Keep auto-update on.
-
The MCP server needs nothing. It is remote: hosts fetch its tools and instructions on connect, and
arcmira_describereturns the reference from the server on every call, opening with a version line. The MCP server alone is always current. -
Claude Code plugin. Auto-update is off by default for a third-party marketplace. Turn it on: run
/plugin, open Marketplaces, pickarcmira, and choose Enable auto-update. Or set it in~/.claude/settings.json:Update now:
claude plugin update arcmira@arcmira. -
Codex plugin.
codex plugin marketplace upgrade arcmira, then restart Codex. -
Skills installed with
npx skills add arcmira/mcp.npx skills update.
Each release bumps the version in every plugin manifest (a test enforces it), because Claude Code only updates a plugin whose version changed.
Gemini CLI
Install the remote connection and core Arcmira reference from this repository:
Sign in when Gemini prompts for MCP authorization. The extension loads the core Arcmira reference. To also install skills for finding quotes, comparing shows, researching people and sponsors, and monitoring companies, copy the skills bundled with your installed extension into the project where you want to use them.
If Gemini uses a different extension directory, run gemini extensions list and use the Arcmira path it displays. Repeat the skill install after updating the extension to refresh the workspace copies.
Develop
src/reference.ts is the steering surface: the arcmira_describe text, the server instructions and the arcmira skill all come from it.
Apache-2.0. See LICENSE and NOTICE.
来源:README.md,提交 303e83e
工具
0版本历史
18- v0.10.14最新Nov 8, 2026
- v0.10.8Nov 8, 2026
- v0.10.7Oct 12, 2026
- v0.10.6Oct 9, 2026
- v0.10.4Oct 5, 2026
- v0.10.3Oct 4, 2026
- v0.10.1Oct 3, 2026
- v0.9.1Oct 2, 2026
- v0.8.0Oct 2, 2026
- v0.7.13Oct 1, 2026
- v0.7.12Oct 1, 2026
- v0.7.11Oct 1, 2026
- v0.7.8Oct 1, 2026
- v0.7.6Oct 1, 2026
- v0.7.3Sep 30, 2026
- v0.6.0Sep 29, 2026
- v0.5.3Sep 29, 2026
- v0.5.1Sep 16, 2026
评分
已满足适用检查项的 85%
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。
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请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。
- 描述必需15 分
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其他 Transcript 集成
Transcript
land.transcript官方发布者
远程 MCP 服务,可为 YouTube、X、TikTok、Instagram 和 Facebook 视频获取带时间戳的干净字幕稿,无字幕时改用 AI 转写。

Elvish Transcript Mcp
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YouTube Transcript MCP
由 GitHub 账号 Youtube-Transcript-Dev 发布
托管式 MCP 服务器,让助手获取带时间戳的 YouTube 字幕、搜索字幕历史并删除已保存的记录。
YouTube Transcript Scraper
com.quarralabs
托管在 Apify 上的远程 MCP 服务器,让助手获取带时间戳的 YouTube 字幕,来源包括视频、Shorts、频道、播放列表和搜索结果。

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