Vexa
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
제작자가 쓴 설명(영어 원문)
Telegram message mirror, search, sending, and moderation tools.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
TELEGRAM_BOT_TOKEN, GHOSTPAW_TELEGRAM_DB비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"telegram": {
"command": "npx",
"args": [
"-y",
"@ghostpaw/telegram",
"mcp"
],
"env": {
"TELEGRAM_BOT_TOKEN": "your-value",
"GHOSTPAW_TELEGRAM_DB": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add telegram --env TELEGRAM_BOT_TOKEN=your-value --env GHOSTPAW_TELEGRAM_DB=your-value -- npx -y @ghostpaw/telegram mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"telegram": {
"command": "npx",
"args": [
"-y",
"@ghostpaw/telegram",
"mcp"
],
"env": {
"TELEGRAM_BOT_TOKEN": "your-value",
"GHOSTPAW_TELEGRAM_DB": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"telegram": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ghostpaw/telegram",
"mcp"
],
"env": {
"TELEGRAM_BOT_TOKEN": "your-value",
"GHOSTPAW_TELEGRAM_DB": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
GHOSTPAW_TELEGRAM_DB env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 GhostPawJS 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: TELEGRAM_BOT_TOKEN
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.7.8)은 9일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Vexa, emailmd, MCP WhatsApp Cloud
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Agent Telegram bots: every update mirrored into SQLite before your handler runs.
ghostpaw-telegram --help # after installing the release binary
Telegram bot channel engine — fetch transport with zero runtime dependencies, SQLite message mirror with FTS5 full-text search, eager file BLOB storage, markdown rendering, and a structured LLM tool facade.
Every incoming update is mirrored into a local SQLite database before your handler runs, giving you a persistent, queryable record of everything the bot sees — including the raw bytes of every photo, document, voice message, and video, which are downloaded in the background after the update is stored and kept once per SHA-256 hash. A failed download leaves the file row without a checksum, so you can retry it with write.downloadFile. It ships as a single prebundled blob designed for two audiences at once: human developers building bot backends in code, and LLM agents operating through a structured tool facade.
Every client below starts the same stdio server: ghostpaw-telegram mcp. For npm-based environments, use npx -y @ghostpaw/telegram mcp. Messages live in ~/.ghostpaw/telegram.db unless the GHOSTPAW_TELEGRAM_DB environment variable (absolute path) or --db says otherwise.
Claude Code
claude mcp add ghostpaw-telegram -- ghostpaw-telegram mcp
or as a plugin, which also installs the skill:
/plugin marketplace add GhostPawJS/telegram
/plugin install ghostpaw-telegram@ghostpaw-telegram
Codex CLI (~/.telegram/config.toml)
[mcp_servers.ghostpaw-telegram]
command = "ghostpaw-telegram" args = ["mcp"]
Cursor (.cursor/mcp.json), Claude Desktop (claude_desktop_config.json) or a project .mcp.json:
{
"mcpServers": { "ghostpaw-telegram": { "command": "ghostpaw-telegram", "args": ["mcp"] } } }
Claude Desktop users can also install server.mcpb from the latest GitHub release. A Dockerfile is included for container hosts: docker build -t ghostpaw-telegram . && docker run -i --rm -v telegram:/data ghostpaw-telegram.
The server speaks MCP 2026-07-28 (stateless, server/discover) and the initialize-based revisions 2025-11-25, 2025-06-18, 2025-03-26 and 2024-11-05.
Set TELEGRAM_BOT_TOKEN in the server environment to execute send and moderation actions. Without a token, these tools return plans; local reads and tool discovery work offline. The .mcp.json token placeholder must be supplied by the client environment. The server reads the mirror populated by your library transport; it does not poll for updates.
The 27 command paths derive from the 4 tool schemas:
bot stats | state <key> | chats
mirror message mirror messages | search mirror chat | chats | user | users mirror reactions mirror replies | edits message send | edit message delete | pin | unpin message typing | forward member ban | unban | restrict member promote | kick | show member list
Use help or --help for schema flags. Fields accept kebab-case flags, such as --can-send-messages true and --is-admin false. Objects accept JSON; arrays accept repeated flags or JSON. Values are literal, including a leading @; no flag reads a file. A single - reads stdin JSON; explicit flags override stdin fields. -- ends option parsing.
Global flags: --db , --json, --quiet, --compact, --help/-h, --version/-V/-v, --no-color. Piped output defaults to JSON; --quiet suppresses stdout. completions bash|zsh|fish prints completion setup and version prints the package version and installation variant.
| New command exit code | Meaning |
|---|---|
| 0 | Success or no-op |
| 1 | Tool error |
| 2 | Usage or schema error |
| 3 | Clarification needed or not found |
| 4 | Conflict or version mismatch |
| 70 | Unexpected internal error |
Existing tools [--json], describe , call [JSON|-], flat tg_ --parameter value, mcp and skill forms keep their behavior. The noun-verb send and moderation commands always return plans, including when TELEGRAM_BOT_TOKEN is set. Execution remains available through createTelegramToolFacade({ client, execute: true }); the existing tool-level CLI and MCP forms execute when TELEGRAM_BOT_TOKEN is set. Local mirror reads and plans work offline without credentials. GHOSTPAW_TELEGRAM_DB sets the default database, otherwise ~/.ghostpaw/telegram.db is used; --db overrides both.
Offline examples:
ghostpaw-telegram mirror chats --db /tmp/telegram-port-example.db --json
ghostpaw-telegram message send 123 'Offline plan' --db /tmp/telegram-port-example.db --json ghostpaw-telegram mirror messages 123 --db /tmp/telegram-port-example.db --json
The empty mirror returns no chats or messages. The send returns an action descriptor without sending a Telegram message.
ghostpaw-telegram tools
ghostpaw-telegram call tg_read '{"subcommand":"list_chats"}' ghostpaw-telegram --db :memory: call tg_send '{"subcommand":"send_message","chatId":123,"text":"Hello"}'
The send example returns a plan unless TELEGRAM_BOT_TOKEN is set.
Use ghostpaw-telegram skill --short for the compact CLI cheat sheet, ghostpaw-telegram skill --list to list guides, and ghostpaw-telegram skill to read one.
On POSIX, CLI and MCP mirror databases are created with mode 0600, including new SQLite WAL/SHM files. Directories created for the database use mode 0700. Existing database and directory permissions are preserved. The mirror may contain private chat content and file blobs.
SKILL.md and skills/telegram/ ship in the package. Print the skill with ghostpaw-telegram skill or copy skills/telegram/ into your skills folder.
Each line downloads the latest release asset, checks it against the release's SHA256SUMS and installs it on the PATH (~/.local/bin on Linux/macOS; the Windows script adds its folder to the user PATH).
These lines never edit ~/.profile or other shell startup files: export PATH applies to the current shell only. To keep it in new shells, use the ~/.profile line below.
linux-x64:
curl -fsSL https://raw.githubusercontent.com/GhostPawJS/telegram/main/install.sh | sh -s -- --target linux-x64 && export PATH="$HOME/.local/bin:$PATH"
linux-arm64:
curl -fsSL https://raw.githubusercontent.com/GhostPawJS/telegram/main/install.sh | sh -s -- --target linux-arm64 && export PATH="$HOME/.local/bin:$PATH"
darwin-arm64:
curl -fsSL https://raw.githubusercontent.com/GhostPawJS/telegram/main/install.sh | sh -s -- --target darwin-arm64 && export PATH="$HOME/.local/bin:$PATH"
darwin-x64:
curl -fsSL https://raw.githubusercontent.com/GhostPawJS/telegram/main/install.sh | sh -s -- --target darwin-x64 && export PATH="$HOME/.local/bin:$PATH"
windows-x64 (PowerShell; persistently adds the install folder to the user PATH):
irm https://raw.githubusercontent.com/GhostPawJS/telegram/main/install.ps1 | iex
To skip the persistent user PATH edit:
$env:GHOSTPAW_NO_MODIFY_PATH=1; irm https://raw.githubusercontent.com/GhostPawJS/telegram/main/install.ps1 | iex
Pinned to a release:
curl -fsSL https://raw.githubusercontent.com/GhostPawJS/telegram/main/install.sh | sh -s -- --target linux-x64 --version 0.7.8 && export PATH="$HOME/.local/bin:$PATH"
Also adding ~/.local/bin to ~/.profile (edits ~/.profile once; skipped if it already mentions ~/.local/bin; zsh login shells read ~/.zprofile instead, so use that file name there):
curl -fsSL https://raw.githubusercontent.com/GhostPawJS/telegram/main/install.sh | sh -s -- --target linux-x64 && { grep -qs '.local/bin' ~/.profile || echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.profile; } && export PATH="$HOME/.local/bin:$PATH"
$ ghostpaw-telegram --version
telegram 0.7.8 (binary, linux-x64)
Scripts that compare versions should use --version --short or --version --json.
A session with the 0.7.1 linux-x64 binary against a fresh database, with no token set, so outbound commands only return the planned action and nothing is sent (output piped through jq to keep it short):
The same session as an animated GIF.
Other release installers:
mise use -g github:GhostPawJS/telegram
ubi --project GhostPawJS/telegram --exe ghostpaw-telegram --in ~/.local/bin eget GhostPawJS/telegram
For aqua, define a github_release package in aqua.yaml:
registries:
packages:
telegram-registry.yaml:
packages:
Install scripts verify SHA256SUMS. To verify a downloaded archive's build attestation:
gh attestation verify <archive> -R GhostPawJS/telegram
Set GHOSTPAW_VERIFY=attestation for attestation verification in install.sh. Binaries are unsigned; macOS binaries carry an ad-hoc signature. For a browser download on macOS, remove quarantine with xattr -d com.apple.quarantine /path/to/ghostpaw-telegram. Linux binaries require glibc 2.28+; use npx on Alpine. See the [binary build workflow](.github/wo
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요