Vexa
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Description from the maker (original English)
Local-first TDLib Telegram MCP server with 126 tools, account isolation and production guardrails.
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.
TDLIB_API_ID, TDLIB_API_HASH, TDLIB_PHONE_NUMBER, TDLIB_AUTH_CODE, TDLIB_2FA_PASSWORD, MCP_READ_ONLY, MCP_TOOL_PROFILEValues 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-tdlib": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TDLIB_API_ID",
"-e",
"TDLIB_API_HASH",
"-e",
"TDLIB_PHONE_NUMBER",
"-e",
"TDLIB_AUTH_CODE",
"-e",
"TDLIB_2FA_PASSWORD",
"-e",
"MCP_READ_ONLY",
"-e",
"MCP_TOOL_PROFILE",
"ghcr.io/tolboy/telegram-mcp-tdlib:1.19.1-stdio"
],
"env": {
"TDLIB_API_ID": "your-value",
"TDLIB_API_HASH": "your-value",
"TDLIB_PHONE_NUMBER": "your-value",
"TDLIB_AUTH_CODE": "your-value",
"TDLIB_2FA_PASSWORD": "your-value",
"MCP_READ_ONLY": "your-value",
"MCP_TOOL_PROFILE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add telegram-tdlib --env TDLIB_API_ID=your-value --env TDLIB_API_HASH=your-value --env TDLIB_PHONE_NUMBER=your-value --env TDLIB_AUTH_CODE=your-value --env TDLIB_2FA_PASSWORD=your-value --env MCP_READ_ONLY=your-value --env MCP_TOOL_PROFILE=your-value -- docker run -i --rm -e TDLIB_API_ID -e TDLIB_API_HASH -e TDLIB_PHONE_NUMBER -e TDLIB_AUTH_CODE -e TDLIB_2FA_PASSWORD -e MCP_READ_ONLY -e MCP_TOOL_PROFILE ghcr.io/tolboy/telegram-mcp-tdlib:1.19.1-stdioFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"telegram-tdlib": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TDLIB_API_ID",
"-e",
"TDLIB_API_HASH",
"-e",
"TDLIB_PHONE_NUMBER",
"-e",
"TDLIB_AUTH_CODE",
"-e",
"TDLIB_2FA_PASSWORD",
"-e",
"MCP_READ_ONLY",
"-e",
"MCP_TOOL_PROFILE",
"ghcr.io/tolboy/telegram-mcp-tdlib:1.19.1-stdio"
],
"env": {
"TDLIB_API_ID": "your-value",
"TDLIB_API_HASH": "your-value",
"TDLIB_PHONE_NUMBER": "your-value",
"TDLIB_AUTH_CODE": "your-value",
"TDLIB_2FA_PASSWORD": "your-value",
"MCP_READ_ONLY": "your-value",
"MCP_TOOL_PROFILE": "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-tdlib": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TDLIB_API_ID",
"-e",
"TDLIB_API_HASH",
"-e",
"TDLIB_PHONE_NUMBER",
"-e",
"TDLIB_AUTH_CODE",
"-e",
"TDLIB_2FA_PASSWORD",
"-e",
"MCP_READ_ONLY",
"-e",
"MCP_TOOL_PROFILE",
"ghcr.io/tolboy/telegram-mcp-tdlib:1.19.1-stdio"
],
"env": {
"TDLIB_API_ID": "your-value",
"TDLIB_API_HASH": "your-value",
"TDLIB_PHONE_NUMBER": "your-value",
"TDLIB_AUTH_CODE": "your-value",
"TDLIB_2FA_PASSWORD": "your-value",
"MCP_READ_ONLY": "your-value",
"MCP_TOOL_PROFILE": "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.
MCP_READ_ONLY envMCP_TOOL_PROFILE 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 7, 2026
The registry name was verified with the GitHub account tolboy, 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: TDLIB_API_ID, TDLIB_API_HASH, TDLIB_PHONE_NUMBER, TDLIB_AUTH_CODE, TDLIB_2FA_PASSWORD
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 (1.19.1) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker 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.
Telegram MCP for real accounts — safe by default, TDLib-powered, production-ready.
A local-first Model Context Protocol server that gives an AI agent real Telegram-account access without handing it the keys to your account. It starts read-only, hides write tools until you opt in, and runs over STDIO for desktop clients or Streamable HTTP at /mcp for managed deployments.
inbox/reader profile; write and quota-consuming tools are *hidden from the model*, not merely blocked, until you turn them on.idempotency_key turns a lost response into a stored receipt instead of a duplicate message; an unconfirmed send is reported as UNKNOWN, never silently resent.Screen recording of a live terminal session with server 1.19.0 and an authorized
TDLib account, November 2, 2026. The command-line MCP client reads only the public
@telegramchannel and prints selected response fields.
MP4 · Still image · How it was recorded.
Runtime-inclusive releases need no JDK, Gradle, Git, Python, or Node.js. Use a test account for your first run if you can.
1. Install (macOS Apple silicon / Linux with Homebrew):
brew install --formula https://github.com/tolboy/telegram-mcp-tdlib/releases/latest/download/telegram-mcp.rb
Windows with Scoop:
scoop install https://github.com/tolboy/telegram-mcp-tdlib/releases/latest/download/telegram-mcp.json
2. Log in with a QR scan — the one-time code never touches your shell history:
telegram-mcp auth --method qr
3. Check the session is ready — this reads local state and starts no server:
telegram-mcp session doctor
Do not run serve --transport stdio yourself to try it out. With STDIO your AI client starts the server and owns its lifetime; a copy you launched in a terminal holds the TDLib session, and the client's own copy then exits with code 2 because it cannot lock td.binlog. Give the command to the client instead (below) and let it do the starting.
Then try a first prompt that cannot change anything:
“Summarize my last 20 conversations. Do not send or modify anything.”
In this mode write and quota-consuming tools are absent from the tool list entirely, so the model has nothing destructive to call. Switch to MCP_READ_ONLY=false only after you have reviewed the surface. When you do, set MCP_DESTRUCTIVE_APPROVAL=auto (or elicitation / loopback). The server refuses to start if writes are on and approval is left off, because "confirmed": true is an argument the model can set itself. auto asks through host elicitation where available, or through the server's loopback page otherwise. MCP_ALLOW_MODEL_CONFIRMED_WRITES=true is the explicit exception that restores the old combination.
Generate the entry instead of transcribing one — it fills in the key your client actually expects and pins the version it was generated from:
telegram-mcp config --client claude
--client claude-code|cursor|vscode|codex switches target — Codex gets TOML, VS Code gets the servers key it actually reads, Claude Code gets the explicit transport type. --writes enables write tools and the approval prompt that guards the destructive ones — pair it with a write-capable --profile inbox|community-admin|all, since the default reader surface hides write tools before read-only mode is consulted. --docker default emits a container entry with a pinned image, and --http default emits the shared-daemon entry for Claude Code, Cursor, VS Code, or Codex. Claude Desktop does not read remote servers from claude_desktop_config.json; add a network-reachable remote endpoint under Settings → Connectors instead. Claude remote connectors do not accept the generator's custom API-key header, so this server must be exposed over HTTPS with MCP_AUTH_MODE=oauth. The generator therefore rejects --client claude --http.
STDIO is the low-friction path for desktop clients. The generated entry looks like:
{
"mcpServers": { "telegram": { "command": "telegram-mcp", "args": ["serve", "--transport", "stdio"], "env": { "TDLIB_API_ID": "123456", "TDLIB_API_HASH_FILE": "/absolute/path/to/telegram-api-hash", "MCP_TOOL_PROFILE": "inbox", "MCP_READ_ONLY": "true" } } } }
claude_desktop_config.json, then quit the app from the tray and start it again. Use Settings → Developer → Edit Config to open the file: it points at the right copy for your build. Editing %APPDATA%\Claude by hand works only for the installer build — the Microsoft Store build is packaged as MSIX and keeps its config in %LOCALAPPDATA%\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude\ instead.~/.cursor/mcp.json (or Settings → MCP → Add)..vscode/mcp.json; VS Code names the top-level key servers instead of mcpServers and requires an explicit "type": "stdio" or "type": "http".To share one local process across clients, use telegram-mcp daemon start and telegram-mcp daemon attach --client cursor (or codex, vscode, claude-code). See managed local daemon for status, stop and onboarding.
For a managed HTTP deployment instead of STDIO:
docker run --rm -p 127.0.0.1:8080:8080 \
-e TDLIB_API_ID -e TDLIB_API_HASH -e MCP_API_KEY \ ghcr.io/tolboy/telegram-mcp-tdlib:latest
See CLI and STDIO, interactive authentication, and client compatibility for exact platform/client variants.
For reusable agent instructions, install the free Telegram Inbox Assistant skill. Requires server 1.17.2 or later. Shared-daemon users of Claude Desktop can use the optional tools bridge, included in runtime packages with its Python dependency instructions. Its setup guide includes client configuration templates and explains the separately required local server and Telegram authorization. The skill summarizes and searches in read-only mode.
Copy-paste configurations and prompts for real tasks, each with the smallest tool surface that can do the job: summarize your inbox, find a lost message, research public groups, read-only community health check, and draft replies without sending — index in docs/recipes. Those recipes are also MCP prompts. Selecting one does not grant tools beyond the configured profile.
Most Telegram MCP servers wrap the Bot API or a Telethon user session and expose every capability to the model at once. This project optimizes for connecting an agent to a real account you care about, safely:
| Dimension | This server | Typical Telethon / Bot-API MCP servers |
|---|---|---|
| Account access | Real user account via TDLib (tdlight-java) | Often bot-only, or a single Telethon user session |
| Default posture | Read-only; write/quota tools hidden until enabled | Usually all tools exposed from the start |
| Multi-account | Isolated sessions, mandatory selection, scoped keys, no cross-account read fan-out | Single account, or implicit fan-out |
| Transports | STDIO and Streamable HTTP /mcp | Usually STDIO only |
| Guardrails | Confirmation gating, audit log, anti-spam limits, chat allow-list, untrusted-content marking | Minimal |
| Distribution | Signed runtime bundles (no JDK), SBOM + provenance, GHCR image | Source install via pip/npx |
A fuller architectural comparison (TDLib vs Telethon vs Bot API, and why "hidden, not blocked" matters) is in docs/COMPARISON.md. The detailed, dated benchmark against the leading public servers — including features deliberately declined (raw MTProto escape hatch, ownership transfer, bulk contact export) — is in PUBLIC_BENCHMARK_AND_ROADMAP.md.
You don't expose 126 tools on day one. MCP_TOOL_PROFILE narrows the advertised surface *before a client ever sees it*, without weakening account scoping, read-only mode, confirmation, audit, or anti-spam:
| Profile | Surface |
|---|---|
reader | Always non-mutating — safe for a first look |
inbox | Personal messages, drafts, media, contacts, privacy |
community-admin | Moderation, group/channel, permissions, bot commands |
research | Bounded account/public discovery and reading |
all | The full inventory (opt in deliberately) |
See TOOL_PROFILES.md for the exact intent of each surface.
MCP_DESTRUCTIVE_APPROVAL, over the host or a loopback page), and task-focused profiles (reader/inbox/community-admin/research/all).read, download, mutate, quota or policy actions on named accountsOnly the beginning is shown; read the rest in the repo