Integrate Telegram with MCP Clients
Telegram MCP Server gives an AI assistant 80+ tools to send, manage, and watch messages on a real Telegram account.
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Why it matters
Connect your MCP-compatible clients to Telegram, enabling comprehensive chat management, messaging, and group administration directly through the Telegram API.
Outcomes
What it gets done
Manage Telegram chats, groups, and contacts.
Send, reply to, edit, and delete messages.
Create and manage groups and channels.
Automate interactions with Telegram features.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-telegram | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
Agent outcome reports
No reports yet
Capabilities
Tools your agent gets
Get paginated list of chats
List chats with metadata and filtering
Get detailed chat information
Send a message to a specific chat
Get paginated messages from a chat
Reply to a specific message
Edit your own message
Delete a message
Overview
Telegram MCP Server
Telegram MCP Server gives an AI assistant 80+ tools to send, manage, and watch messages, chats, and media on a real Telegram account. A remembered-contacts alias system and a restrictable tool surface guard against sending to the wrong person or exposing more account capability than intended. Use it when an AI assistant needs to actually operate a real Telegram account rather than just discuss it. Do not install it from PyPI, since that package name belongs to an unrelated project - clone this repository directly instead.
What it does
Telegram MCP Server exposes 80+ MCP tools covering a real Telegram account: accounts, chats and groups, messages, contacts, media, profile and privacy, folders and drafts, and event waiting. Messages can be sent, scheduled, edited, forwarded, pinned, polled, or reacted to, and send_message/reply_to_message/edit_message support Telegram's server-side rich formatting - tables, headings, formulas, collapsible sections - though that mode requires Telegram Premium on the account, re-checked on every call, and returns a structured telegram_premium_required result rather than silently failing if it's missing.
When to use - and when NOT to
Use it when an AI assistant needs to actually operate a Telegram account - messaging real contacts by name, watching for replies, managing groups, or handling files and media - rather than just discussing Telegram. A remembered-contacts system (set_contact_alias) lets you address people by whatever name you actually use, but it's deliberately conservative: only an exact saved alias ever sends a message, and similar-but-not-identical wording only triggers a confirmation prompt, never a send, because a matcher confident enough to handle name declensions is also confident enough to message the wrong person. Do not install this from PyPI (pip install telegram-mcp or uvx telegram-mcp) - that package name is owned by an unrelated project, and passing it your Telegram API credentials or session string could expose your account to unrelated third-party code; install by cloning this repository instead.
Capabilities
TELEGRAM_EXPOSED_TOOLS controls the tool surface: all (default) exposes everything, read-only exposes only tools annotated readOnlyHint=True, and read-only+send_message,reply_to_message exposes read-only tools plus a named allowlist of writes - an unknown tool name in that list aborts startup rather than silently narrowing the surface. This restricts what MCP clients can call, not what the underlying Telegram session itself is authorized to do. For waiting on replies, wait_for_settled_message blocks until a debounced message arrives and works with any MCP client; Claude Code specifically can instead enable a callback-style incoming event feed (enable_incoming_feed) that appends settled message bursts as JSON lines to a file a persistent Monitor watches, so no blocking tool call sits open. All Telegram-sourced content - messages, names, chat titles, button labels - is treated as untrusted: it's sanitized for control and invisible characters, returned as structured JSON with MCP content annotations marking it as user data, and tool descriptions explicitly warn clients not to treat it as instructions.
How to install
git clone https://github.com/chigwell/telegram-mcp.git
cd telegram-mcp
uv sync
uv run session_string_generator.py --qr
Generate a session string, QR login if Telegram is already open on another device, or --phone for a code-based login, then set TELEGRAM_API_ID, TELEGRAM_API_HASH, and TELEGRAM_SESSION_STRING in .env before running uv run main.py. It supports multiple accounts and optional SOCKS/HTTP/MTProxy routing via TELEGRAM_PROXY_*, and can run as a shared Docker server or one container per stdio client. Requires Python 3.10+ and Telegram API credentials from my.telegram.org/apps. It is Apache 2.0 licensed.
Who it's for
Developers building an AI assistant that needs to actually send, manage, and watch messages on a real Telegram account, with deliberate guardrails against silently messaging the wrong contact or exposing account credentials.
Source README
A Telegram integration for Claude, Cursor, and other MCP-compatible clients. It exposes Telegram account, chat, message, contact, media, folder, and admin operations through the Model Context Protocol using Telethon.
🤖 MCP in Action
Basic Telegram MCP usage in Claude:
Asking Claude to analyze chat history and send a response:
Message sent successfully:
Contents
- What It Can Do
- Requirements
- Quick Start
- MCP Client Configuration
- Multi-Account Setup
- Device Identity
- Proxy Support
- File Path Security
- Docker
- Development
- Security Notes
- Troubleshooting
- License
What It Can Do
The server currently includes 80+ MCP tools grouped into these areas:
- Accounts: list configured accounts and route tool calls by account label.
- Chats and groups: list chats, inspect metadata, create groups/channels, join or leave chats, invite users, manage admins, bans, default permissions, slow mode, topics, invite links, common chats, read receipts, and message links.
- Messages: send, schedule, edit, delete, forward, pin, unpin, mark read, reply, search, inspect context, create polls, manage reactions, inspect inline buttons, and press inline callbacks.
send_message,reply_to_message, andedit_messagesupport classic formatting (parse_mode='md'/'html') and server-side rich formatting (parse_mode='rich'/'rich_markdown'/'rich_html'- full Markdown/HTML with tables, headings, formulas, and collapsible sections). Rich modes require Telegram Premium on the account; Premium is re-checked on every call, and without it nothing is sent - the tool returns a structuredtelegram_premium_requiredresult so the agent can reformat with classic modes and retry. - Contacts: list, search, add, delete, block, unblock, import, export, inspect direct chats, find recent contact interactions, and remember contacts by the names you actually use (see below).
Remembered contacts
set_contact_alias teaches the server what you call someone, and every tool that takes a chat_id understands it from then on - send_message("андрей бекендер", ...) just works. A contact can carry any number of aliases, which is how tags work: save both андрей бекендер and бекендер for the same person and either resolves.
Only an exact saved wording ever sends. Similar wording (Андрею бекендеру for a saved андрей бекендер) is matched too, but only to suggest: the tool sends nothing and asks you to confirm the contact by name. This is deliberate - Лена/Леня and Иван/Иванов differ exactly as much as a case ending does, so a matcher confident enough to handle declensions is also confident enough to message the wrong person whenever the one you meant is not saved yet. Confirming saves that wording as its own alias, so each new phrasing costs one yes/no the first time and nothing ever again. Set TELEGRAM_CONTACT_FUZZY=0 to drop the suggestions too.
When a reference is unknown, resembles one contact, matches several, or points at a contact that no longer resolves, tools send nothing and return a structured instruction telling the agent exactly what to ask you, to save the answer with set_contact_alias, and to retry once. list_contact_aliases shows one row per person with all their aliases (use it to spot a wrong memory), delete_contact_alias forgets one, and repointing an alias at someone else requires replace=True. The save path itself refuses a target it would have to guess at: contacts are saved by @username, phone, numeric ID, or an alias already confirmed for them.
Aliases live in ${XDG_STATE_HOME:-~/.local/state}/telegram-mcp/aliases.json (owner-only, written atomically); TELEGRAM_ALIASES_FILE overrides the path, and a pre-existing aliases.json next to the code is still read as a fallback.
- Media: send files, download media, upload files, send voice notes, stickers, GIFs, and inspect message media.
- Profile and privacy: get your own account info, update profile fields, set or delete profile photos, inspect privacy settings, get user info/photos/status, and manage bot commands.
- Folders and drafts: list, create, update, reorder, and delete Telegram folders; save, list, and clear drafts.
- Events: wait for incoming messages with debounce (
wait_for_new_message,wait_for_settled_message), optionally for one chat only viachat_id- without it any unrelated conversation wakes the wait - or enable the opt-in incoming event feed for callback-style delivery (see below).
All tool results that include Telegram user-controlled content are sanitized and, where practical, returned as structured JSON.
Incoming Event Feed (callback mode, Claude Code only)
By default, an agent waits for replies by calling wait_for_settled_message, which blocks up to the MCP tool timeout and must be re-called - that works everywhere (Codex, Cursor, etc.) and is unchanged.
Clients that can wake an agent on external output (Claude Code's persistent Monitor on tail -f) can switch to callback mode instead:
- The agent calls
enable_incoming_feed(or setTELEGRAM_EVENT_FEED=1in the environment to auto-enable). Each settled incoming burst is appended as one JSON line to${XDG_STATE_HOME:-~/.local/state}/telegram-mcp/incoming_feed.jsonl, created owner-only (0600). Override the path withTELEGRAM_EVENT_FEED_FILE- an explicit path's directory must already exist.incoming_feed_statusreports the effective path and a ready-to-use watch command. - The agent arms a persistent Monitor with the
watch_commandreturned by the tool. Every new line re-invokes the agent with the burst summary; no blocking tool call is held open, and the chat stays free.
disable_incoming_feed switches back; incoming_feed_status reports the current mode. While the feed is enabled it consumes settled bursts, so don't combine it with wait_for_settled_message. Feed lines contain user-generated name fields - treat them as untrusted data.
Requirements
- Python 3.10+
- Telegram API credentials from my.telegram.org/apps
- A Telegram session string or file-based session
- An MCP client such as Claude Desktop, Cursor, or another MCP-compatible host
- Optional: uv for local development
Quick Start
Do not install this server with
uvx telegram-mcp,uvx --from telegram-mcp,
orpip install telegram-mcp. Thetelegram-mcpname on PyPI is currently
owned by a different project and does not install this repository. PassingTELEGRAM_API_ID,TELEGRAM_API_HASH, orTELEGRAM_SESSION_STRINGto that
package can expose Telegram account credentials to unrelated third-party code.
1. Clone and Install
git clone https://github.com/chigwell/telegram-mcp.git
cd telegram-mcp
uv sync
2. Generate a Session String
uv run session_string_generator.py
Follow the prompts. Save the generated session string securely.
For scripted setup or operational runbooks, choose the login method explicitly:
# QR login, recommended when you already have Telegram open on another device
uv run session_string_generator.py --qr
# Phone number + verification code login
uv run session_string_generator.py --phone
Without a flag, the generator keeps the interactive method prompt.
3. Configure Environment
Copy the example file and fill in your real values:
cp .env.example .env
Single-account setup:
TELEGRAM_API_ID=your_api_id_here
TELEGRAM_API_HASH=your_api_hash_here
TELEGRAM_SESSION_STRING=your_session_string_here
By default, all Telegram MCP tools are exposed. If you want to prevent MCP
clients from sending messages or performing chat/account mutations, setTELEGRAM_EXPOSED_TOOLS=read-only to expose only tools annotated withreadOnlyHint=True:
TELEGRAM_EXPOSED_TOOLS=read-only
If read-only is too strict but all is too broad, append + and a
comma-separated list of tool names to also expose those specific write tools.
Every other write tool stays unregistered:
TELEGRAM_EXPOSED_TOOLS=read-only+send_message,reply_to_message,send_file
An unknown name in the allowlist aborts startup, so a typo cannot silently
degrade into a narrower surface that looks like it worked.
This is an MCP tool-surface restriction, not a Telegram session sandbox or
reduced Telegram account permission. The Telegram session string still has its
normal authority inside the server process; read-only mode only prevents
non-read-only tools from being registered and exposed through MCP. Accepted
values are all (the default), read-only, and read-only+<tool>,<tool>.
Run the server locally:
uv run main.py
MCP Client Configuration
For Claude Desktop or Cursor, point the MCP server at a cloned checkout of
this project:
{
"mcpServers": {
"telegram-mcp": {
"command": "uv",
"args": [
"--directory",
"/full/path/to/telegram-mcp",
"run",
"main.py"
],
"env": {
"TELEGRAM_API_ID": "your_api_id_here",
"TELEGRAM_API_HASH": "your_api_hash_here",
"TELEGRAM_SESSION_STRING": "your_session_string_here"
}
}
}
}
To expose only read-only tools in Claude Desktop or Cursor, add this to the
server env block:
"TELEGRAM_EXPOSED_TOOLS": "read-only"
Or keep read-only as the baseline and allow a few write tools on top:
"TELEGRAM_EXPOSED_TOOLS": "read-only+send_message,reply_to_message"
Alternatively, install this repository directly from GitHub into a virtual
environment using a specific release tag or commit:
python -m venv .venv
. .venv/bin/activate
pip install "git+https://github.com/chigwell/telegram-mcp.git@<tag-or-commit>"
Then configure your MCP client to run the installed console script:
{
"mcpServers": {
"telegram-mcp": {
"command": "/full/path/to/.venv/bin/telegram-mcp",
"env": {
"TELEGRAM_API_ID": "your_api_id_here",
"TELEGRAM_API_HASH": "your_api_hash_here",
"TELEGRAM_SESSION_STRING": "your_session_string_here"
}
}
}
}
Generate a session string without cloning the repo by sourcing this repository
from GitHub explicitly:
uvx --from "git+https://github.com/chigwell/telegram-mcp.git@<pinned-release-tag-or-commit>" telegram-mcp-generate-session
Transports
The server speaks three MCP transports, selected with MCP_TRANSPORT:
| Value | Transport | Use case |
|---|---|---|
stdio |
stdio (default) | One dedicated server process per MCP client |
http |
streamable HTTP | One shared server for many clients (Claude Code, Codex, Cursor) |
sse |
SSE (legacy HTTP) | Clients that only support the deprecated SSE transport |
For http and sse, the server binds MCP_HOST:MCP_PORT (default127.0.0.1:8765); the streamable HTTP endpoint is /mcp, the SSE endpoint is/sse.
If the server is reachable via a domain (e.g. behind a reverse proxy) rather
than only 127.0.0.1/localhost, set MCP_ALLOWED_HOSTS (and optionallyMCP_ALLOWED_ORIGINS) to enable DNS-rebinding protection and allow that Host
header, e.g. MCP_ALLOWED_HOSTS=mcp.example.com. Comma-separated; supports a:* suffix to allow any port. Left unset, DNS-rebinding protection stays off
(the historical default).
Prefer http when more than one MCP client (or many coding-agent sessions)
will use the server: a single long-lived process holds one Telegram
connection, instead of every client spawning its own Telethon session -
Telegram throttles and may flag accounts that open many parallel sessions.
Register the shared server with clients:
# Claude Code
claude mcp add --transport http telegram http://127.0.0.1:8765/mcp
# Codex
codex mcp add telegram --url http://127.0.0.1:8765/mcp
For stdio-only clients, bridge with mcp-remote:
{
"mcpServers": {
"telegram-mcp": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://127.0.0.1:8765/mcp"]
}
}
}
Multi-Account Setup
Use suffixed session variables to configure multiple Telegram accounts:
TELEGRAM_API_ID=your_api_id_here
TELEGRAM_API_HASH=your_api_hash_here
TELEGRAM_SESSION_STRING_WORK=session_string_for_work
TELEGRAM_SESSION_STRING_PERSONAL=session_string_for_personal
Labels are lowercased and become the account parameter value in tools.
- In single-account mode,
accountis optional. - In multi-account mode, write tools require
account. - Read-only tools fan out to all accounts when
accountis omitted.
Example prompts:
- "List my accounts"
- "Show unread messages from all accounts"
Session pool (one account, several concurrent clients)
To run several MCP clients against the same Telegram account at once (for
example the desktop app and a terminal CLI), give each client its own
authorized session. Telegram forbids one session (auth key) being used from two
IPs simultaneously, so on a VPN or dual-stack host two local clients can collide
with AuthKeyDuplicatedError. List several interchangeable session strings inTELEGRAM_SESSION_STRINGS (separated by whitespace, comma or semicolon); each
process claims a free one via an advisory file lock, so clients deterministically
pick distinct sessions:
TELEGRAM_SESSION_STRINGS=<session A> <session B> <session C>
Generate extra sessions with uv run session_string_generator.py. The pool
takes precedence over TELEGRAM_SESSION_STRING for the default account. As an
extra safety net, a transient AuthKeyDuplicatedError at connect time (e.g.
during a VPN reconnect) is retried with backoff before the server gives up.
Size the pool to the number of clients you actually run concurrently. If every
slot is already claimed, the server refuses to start with an explicit error
rather than reusing a session another client holds - reuse would make Telegram
permanently invalidate that session for both clients.
- "Send this from my work account to @example"
Device Identity
These optional variables control how the client appears in Telegram under
Settings > Devices (the active-sessions list):
TELEGRAM_DEVICE_MODEL=Telegram MCP
TELEGRAM_SYSTEM_VERSION=1.0
TELEGRAM_APP_VERSION=1.0
If left unset, Telethon falls back to the host platform (for example arm64).
Because these values are re-sent on every connection, a long-running server
would otherwise overwrite the name chosen during login on each reconnect, so
set them to keep a stable, recognisable device name. The same variables are
read both by the session string generator (at login) and by the server (on
every connect), so set them in the same place as your other credentials.
Proxy Support
Route Telegram traffic through a proxy by setting the TELEGRAM_PROXY_*
environment variables. Supported types are socks5, socks4, http, andmtproxy.
SOCKS and HTTP proxies require the optional python-socks package:
uv sync --extra proxy
# or
pip install python-socks
Single-account configuration:
TELEGRAM_PROXY_TYPE=socks5
TELEGRAM_PROXY_HOST=127.0.0.1
TELEGRAM_PROXY_PORT=1080
TELEGRAM_PROXY_USERNAME=optional_user
TELEGRAM_PROXY_PASSWORD=optional_pass
TELEGRAM_PROXY_RDNS=true
MTProxy:
TELEGRAM_PROXY_TYPE=mtproxy
TELEGRAM_PROXY_HOST=mtproxy.example
TELEGRAM_PROXY_PORT=443
TELEGRAM_PROXY_SECRET=ee0123456789abcdef...
Per-account overrides use the same _<LABEL> suffix as session variables and
take precedence over the unsuffixed defaults:
TELEGRAM_PROXY_TYPE=socks5
TELEGRAM_PROXY_HOST=127.0.0.1
TELEGRAM_PROXY_PORT=1080
TELEGRAM_PROXY_TYPE_WORK=http
TELEGRAM_PROXY_HOST_WORK=proxy.work.example
TELEGRAM_PROXY_PORT_WORK=3128
Misconfigured proxy settings (unknown type, missing host/port, invalid port,
missing MTProxy secret, or a missing python-socks package) cause the server
to fail fast at startup with a clear error message instead of silently
bypassing the proxy.
File Path Security
File-path tools are disabled until allowed roots are configured. This affects tools such as send_file, download_media, upload_file, send_voice, send_sticker, set_profile_photo, and edit_chat_photo.
Allowed roots can come from:
- Server CLI arguments, used as a fallback.
- MCP client Roots, when supported by the client.
Security behavior:
- Client MCP Roots replace server CLI roots when available.
- Some clients (notably Cursor) return workspace roots as bare absolute paths
instead offile://URIs. That breaks MCP SDK validation oflist_roots;
the server recovers those absolute paths from the validation error so
file-path tools keep working. - Empty client Roots are treated as deny-all by default. Some clients implement
the Roots capability but advertise an empty list, which disables file tools
even when server CLI roots are configured. SetTELEGRAM_ALLOW_SERVER_ROOTS_FALLBACK=1to fall back to the server CLI roots
in that case (opt-in; the default stays deny-all). The same opt-in also applies
whenlist_rootsfails unexpectedly and no client paths could be recovered. - Paths are resolved through real paths and must stay inside an allowed root.
- Traversal, wildcard-like, shell-like, and null-byte path patterns are rejected.
- Relative paths resolve under the first allowed root.
- Downloads default to
<first_root>/downloads/. - Size and extension limits are enforced for sensitive media tools.
Run with allowed roots:
uv run main.py /data/telegram /tmp/telegram-mcp
From an MCP client configuration, pass the same roots after main.py:
{
"mcpServers": {
"telegram-mcp": {
"command": "uv",
"args": [
"--directory",
"/full/path/to/telegram-mcp",
"run",
"main.py",
"/data/telegram",
"/tmp/telegram-mcp"
],
"env": {
"TELEGRAM_API_ID": "your_api_id_here",
"TELEGRAM_API_HASH": "your_api_hash_here",
"TELEGRAM_SESSION_STRING": "your_session_string_here"
}
}
}
}
Docker
Build the image:
docker build -t telegram-mcp:latest .
Shared server (recommended)
Run one long-lived container serving streamable HTTP, and point every MCP
client at it (see Transports for client registration):
docker run -d --name telegram-mcp --restart unless-stopped \
--env-file .env \
-e MCP_TRANSPORT=http \
-e MCP_HOST=0.0.0.0 \
-p 127.0.0.1:8765:8765 \
telegram-mcp:latest
MCP_HOST=0.0.0.0 binds inside the container so the published port works;-p 127.0.0.1:8765:8765 keeps the server reachable only from the local
machine - the endpoint is unauthenticated, so never publish it on a public
interface.
The bundled Compose file runs the same setup:
docker compose up --build -d
One container per client (stdio)
Alternatively, an MCP client can spawn a dedicated container itself:
{
"mcpServers": {
"telegram-mcp": {
"command": "docker",
"args": ["run", "-i", "--rm", "--env-file", "/full/path/to/.env", "telegram-mcp:latest"]
}
}
}
This is fine for a single client, but with several clients (or coding agents
that spawn subagent sessions) each one starts its own container and its own
Telegram session, which Telegram throttles; a client that exits uncleanly can
also leave its container running. Prefer the shared server above in those
setups.
For multiple accounts, pass variables such as TELEGRAM_SESSION_STRING_WORK and TELEGRAM_SESSION_STRING_PERSONAL.
Development
The implementation is split into a small compatibility entrypoint and modular package code:
main.py # historical entrypoint and compatibility exports
telegram_mcp/runtime.py # shared MCP setup, account routing, validation, file safety
telegram_mcp/runner.py # application startup
telegram_mcp/tools/ # tool modules grouped by domain
sanitize.py # output sanitization helpers
tests/ # pytest suite
Run tests:
uv run pytest
Run tests with coverage:
uv run pytest --cov --cov-report=term-missing --cov-report=xml
Coverage is configured in pyproject.toml with an 80% minimum gate for deterministic unit-testable core modules. GitHub Actions runs the same coverage command and uploads coverage.xml.
Run formatting checks:
uv run black --check .
uv run flake8 .
Security Notes
- Never commit
.env, session strings, or.sessionfiles. - A Telegram session string grants access to the account it belongs to.
- The
telegram-mcppackage name on PyPI is not controlled by this project.
Avoid PyPI-basedtelegram-mcpinstall commands unless ownership changes and
the package is verified. - This repository includes a best-effort startup guard that refuses installed
telegram-mcpdistributions without a source checkout or direct git/file
install record. That guard cannot run when the unrelated PyPI package itself
is launched, so use clone-based or explicit git installs. - Prefer session strings over file sessions when running multiple server instances.
- By default, Telegram API calls go directly from your machine/container to Telegram.
IfTELEGRAM_PROXY_*is configured, Telegram traffic is routed through the
configured SOCKS/HTTP/MTProxy proxy instead. - User-generated Telegram content is sanitized before being returned to MCP clients.
Prompt Injection Protection
Telegram messages, display names, chat titles, and button labels are untrusted content. The server mitigates prompt-injection risk with:
- Structured JSON output for user-controlled data where practical.
sanitize_user_content(),sanitize_name(), andsanitize_dict()for control-character stripping, invisible-character stripping, and length limits.- MCP content annotations marking returned content as user audience data.
- Tool descriptions that warn clients not to treat returned Telegram fields as model instructions.
- No brittle keyword-based filtering.
Troubleshooting
- No Telegram session configured: set
TELEGRAM_SESSION_STRING,TELEGRAM_SESSION_NAME, or suffixed multi-account variants. - Session is not authorized: run
uv run session_string_generator.py --qroutside
the MCP server when you can scan from an existing Telegram app, oruv run session_string_generator.py --phonewhen you need phone-code login.
Then setTELEGRAM_SESSION_STRINGin.env. The MCP server does not perform
interactive phone-code login over stdio. - Invalid API credentials: verify
TELEGRAM_API_IDandTELEGRAM_API_HASHat my.telegram.org/apps. - Database is locked: prefer string sessions, or make sure no other process is using the same file session.
- File tools are disabled: pass allowed roots or configure MCP Roots in your client.
- Path rejected: ensure the path is inside an allowed root and does not use traversal or wildcard patterns.
- Auth errors after password changes: regenerate your session string.
- Bot-only tool rejected: regular user accounts cannot manage bot command settings.
- Need details: check your MCP client logs, terminal output, and
mcp_errors.log.
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