AwrAIter — Telegram channels

ai.awraiter由 awraiter.ai 發布官方發布者v1.0.0更新於 Oct 24, 2026

Telegram channels you administer: analytics, content plans, scheduled publishing. No userbot

已驗證Streamable HTTP可網頁執行效率與工作流溝通與協作資料與分析

概覽

AI 產生的概覽

讓助理讀取你所管理 Telegram 頻道的分析資料,並透過你的 AwrAIter 帳號草擬、排程與發佈貼文。

可以做什麼
這是一個針對你所管理 Telegram 頻道的遠端 MCP 伺服器。它提供 25 個工具,涵蓋團隊與頻道清單、1 至 90 天的訂閱者與觸及分析、最近貼文、對頻道自身貼文與綁定來源的語意搜尋、依抓取來源產生草稿、重複度與品質評分、預覽、含空檔查詢的內容計畫、品牌簡報與禁用詞管理,以及發佈或排程貼文。文件中標示了會修改資料的工具,其餘為唯讀。
適用情境
適合經營 Telegram 頻道、希望助理不必離開聊天用戶端就能取得成效數據、規劃內容行事曆並準備或排程貼文的人。適用於發佈前需要人工審核草稿的編輯流程。
執行需求
遠端 streamable HTTP 端點 AwrAIter 帳號(以 Telegram 登入)以及至少一個已連接的頻道。驗證方式為 OAuth 2.1(PKCE 與動態用戶端註冊),或以 Authorization Bearer 標頭傳送的個人存取權杖。不支援 OAuth 的用戶端需在面板的 MCP connection 中建立權杖。
安裝前請注意
寫入類工具會建立、排程、取消與發佈貼文,切換目前團隊,並修改頻道的品牌簡報與禁用詞。deep_analyze 會消耗團隊的 AI 額度。權杖綁定單一使用者、單一團隊與單一權限範圍:read 會拒絕所有寫入工具,full 允許帳號在面板中能做的一切。權杖只顯示一次,可在面板中撤銷。付費方案每月 9 歐元起,付款由 Stripe 處理。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 AwrAIter — Telegram channels,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.awraiter%2Ftelegram/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "awraiter-telegram-channels": {
      "type": "http",
      "url": "https://awraiter.ai/mcp"
    }
  }
}

README

AwrAIter MCP Server

[MCP Registry] [Transport] [Auth] [Docs]

A remote MCP server for the Telegram channels you administer: read analytics, draft posts from your own scraped sources, build content plans, schedule and publish — from inside ChatGPT, Claude, or any MCP-capable client.

Not a userbot. No phone number, no login code, no .session file. The server acts through your AwrAIter account and reaches only the channels of the team you authorize.

Русская версия · Connection guide · Tool reference · Team and invites · awraiter.ai

AI agent connecting this for someone? Follow AGENTS.md: exact commands for Claude Code, Codex, Gemini CLI and Cursor.


Server

URLhttps://awraiter.ai/mcp
TransportStreamable HTTP
AuthenticationOAuth 2.1 (PKCE, dynamic client registration) or a personal access token
Registry nameai.awraiter/telegram
AvailabilityEvery plan, including the free tier

Quick start

You need an AwrAIter account (sign in with Telegram) and at least one connected channel.

Claude (web / desktop)

Settings → Connectors → Add custom connector, paste the URL, press Connect, and confirm access for the team you want.

https://awraiter.ai/mcp

Claude Code

bash
claude mcp add --transport http awraiter https://awraiter.ai/mcp

Agent skill (Claude Code, Codex and other agents)

The AwrAiter_skills repository ships a skill with the full tool contract, authentication, the draft → check → preview → schedule workflow and the guardrails an agent should follow:

bash
# Claude Code — as a pluginclaude plugin marketplace add MediaZione/AwrAiter_skillsclaude plugin install awraiter@awraiter
# Codex and any other agent with skillsnpx skills add MediaZione/AwrAiter_skills --skill awraiter

ChatGPT

AwrAiter is not in the ChatGPT plugin catalog yet — add it as your own MCP server: Settings → Security and login → Developer mode, then chatgpt.com/plugins → +, paste the URL, keep OAuth and press Connect. In a chat, pick it from the tools menu. The ChatGPT/Codex desktop form has no OAuth option; connect it with a token instead (see below).

Clients that take a JSON config

json
{  "mcpServers": {    "awraiter": {      "type": "http",      "url": "https://awraiter.ai/mcp"    }  }}

Clients without OAuth (token auth)

Create a token in the panel under MCP connection — it is shown once, together with ready-to-paste snippets (Claude Code command, JSON config, cURL, Node.js) that already contain it — and send it as a header:

Authorization: Bearer YOUR_TOKEN

Step-by-step instructions for Claude, Claude Code, ChatGPT, Codex, Gemini CLI and Qwen Code are in docs/connect.md; ready-to-paste config files are in examples/.

Tools

29 tools. The ones that change something are marked ✍️ — everything else is read-only.

ToolWhat it does
list_teamsTeams you belong to; marks the active one
switch_team ✍️Switch the active team (membership is verified server-side)
list_channelsChannels owned by the active team
get_channelOne channel's profile: name, chat id, language, description
get_channel_statsSubscribers, reach, ER and dynamics over 1–90 days
get_channel_insightsWhat works for this audience, scored against the channel's own 30-day median
review_postsHow recent posts did against the channel's own posts at the same age: above, on par or below
get_recent_postsMost recent published posts, newest first
search_channel_contentSemantic search over the channel's own posts and source material
search_sourcesSearch the channel's bound sources
draft_from_sourcesFreshest scraped sources not yet used in a post
deep_analyze ✍️Deep AI analysis of channel performance — the one tool that spends the team's AI credits
check_uniquenessIs this draft a near-duplicate of existing posts or a copy of a source?
score_postData-grounded quality signal for a draft, specific to this channel
preview_postExact message that would be sent — title, body, media, formatting
create_post_from_text ✍️Save a ready-to-publish draft from text the assistant wrote, with photos, videos or music tracks by link
schedule_post ✍️Publish a draft now, or schedule it for a given time
cancel_scheduled_post ✍️Cancel a scheduled post by its plan id
get_content_planThe channel's plan configuration and its slots
create_content_plan ✍️Create a content plan for a channel
find_free_slotEarliest slot in the plan with no post yet
get_channel_memoryThe channel's brand brief, banlist and learnings journal
set_brand_brief ✍️Replace the channel's brand/tone guidance
add_banlist_entry ✍️Add a forbidden word to the channel's banlist
remove_banlist_entry ✍️Remove a word from the banlist
add_channel_learning ✍️Record a hypothesis or a proven learning about what works in the channel
remove_channel_learning ✍️Remove a journal entry
set_assist_mode ✍️How much the assistant coaches you: quiet, normal or coach
get_playbookStep-by-step operator playbook for a workflow

What each tool returns, and the exact scope it needs, is in docs/tools.md.

Authentication

OAuth 2.1 with PKCE and dynamic client registration; redirect URIs are restricted to HTTPS or HTTP loopback, authorization codes are single-use, and refresh tokens rotate. A token is bound to one user, one team and one scope.

Personal access tokens come in two scopes:

ScopeAllows
readRead-only tools; every ✍️ tool is refused server-side
fullEverything the account can do in the panel

Tokens are listed, and can be revoked, in the panel under MCP connection.

Security model

Userbot-style Telegram MCP serversAwrAIter
What you hand overPhone number, login code, session fileAn OAuth grant to your own account
What it can reachEverything your account can — DMs, groups, private materialOnly the channels of the team you authorized
How it publishesAs youThrough the panel's own service admin, with the same permission checks as the UI
If the token leaksYour whole Telegram accountRevoke the token in the panel; nothing else is exposed

Every write goes through the same channel-level access control as the panel, and rate limits apply per token. The full model, and how to report a vulnerability, are in SECURITY.md.

About AwrAIter

AwrAIter is a panel for people who run Telegram channels: weekly content plans, AI drafts in your channel's tone, scheduled publishing, and analytics for everything published — growth, reach, ER/ERR, per-post performance, channel comparison, export to XLSX or Google Sheets. One channel is free forever; paid plans start at €9/month. See awraiter.ai.

Support and legal

  • Questions and issues: awraiter.ai/support
  • Terms of Service · Privacy Policy
  • Operated by Mediazione Italia S.r.l. Payments are handled by Stripe; we never see card numbers.
  • Your channel content stays yours — we do not train models on it unless you explicitly opt in (off by default).

License

Documentation and examples in this repository are released under the MIT License. The AwrAIter service itself is proprietary.

來源:README.md,提交 f091717

工具

0
該伺服器需要登入,因此 SourceWeft 無法在沒有帳號的情況下讀取其工具,也未收錄。已連接帳號所能看到的內容可能因帳號及其權限而異。

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

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