Vexa
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Description from the maker (original English)
Telegram message mirror, search, sending, and moderation tools.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
TELEGRAM_BOT_TOKEN, GHOSTPAW_TELEGRAM_DBValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"telegram": {
"command": "npx",
"args": [
"-y",
"@ghostpaw/telegram",
"mcp"
],
"env": {
"TELEGRAM_BOT_TOKEN": "your-value",
"GHOSTPAW_TELEGRAM_DB": "your-value"
}
}
}
}Run this in your terminal
claude mcp add telegram --env TELEGRAM_BOT_TOKEN=your-value --env GHOSTPAW_TELEGRAM_DB=your-value -- npx -y @ghostpaw/telegram mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"telegram": {
"command": "npx",
"args": [
"-y",
"@ghostpaw/telegram",
"mcp"
],
"env": {
"TELEGRAM_BOT_TOKEN": "your-value",
"GHOSTPAW_TELEGRAM_DB": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"telegram": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ghostpaw/telegram",
"mcp"
],
"env": {
"TELEGRAM_BOT_TOKEN": "your-value",
"GHOSTPAW_TELEGRAM_DB": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
GHOSTPAW_TELEGRAM_DB envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account GhostPawJS, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: TELEGRAM_BOT_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.7.8) reached the registry 9 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Vexa, emailmd, MCP WhatsApp Cloud
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
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