Read, search and answer your messages on WhatsApp, iMessage, Slack, Telegram and 14 more networks.
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app.chesly/chesly is an MCP server that read, search and answer your messages on WhatsApp, iMessage, Slack, Telegram and 14 more networks. Its tool list has not been published yet over http, requires no API key, and scores 17/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
https://mcp.chesly.app/mcpRemote servers are added as connectors, not in claude_desktop_config.json, which is for local servers.
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Read, search and answer your messages on WhatsApp, iMessage, Slack, Telegram and 14 more networks.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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Searchable football data provider documentation for AI coding agents. Like Context7 for football data.
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Chesly's MCP server gives your agent your own messages. It reads, searches and answers the chats you've connected in the Chesly app: WhatsApp, iMessage, Instagram, Messenger, Telegram, Signal, LINE, Discord, Slack, LinkedIn, X, Reddit, Google Messages, Google Chat, Grok Bot, OpenAI Dots, Muse and email.
Chesly hosts it and it's always on, so there's nothing to install or keep running on your computer, and it works from cloud agents as well as your own machine.
| Server URL | https://mcp.chesly.app/mcp |
| Transport | Streamable HTTP |
| Sign-in | Your Chesly account (OAuth), or an API key as a bearer token |
| MCP Registry name | app.chesly/chesly |
This repository holds this guide only. Chesly hosts the server, and its source code isn't published.
| Tool | What it does |
|---|---|
list_accounts | Your connected accounts and their status |
list_chats | Your chats, filtered by unread, a name or a network |
catch_up | Unread chats with their latest messages, on every network or one |
read_chat | The messages in a chat |
search_messages | Search every chat, one chat or one network |
get_message | One message, with its delivery status |
send_message | Send a message in a chat you already have |
mark_read | Mark a chat as read |
find_contact | Find the people of your direct chats by name |
transcribe_voice_note | Turn a voice note into text |
What it doesn't do:
There are two ways to sign in:
Authorization: Bearer ck_live_…. Make one at web.chesly.app/api/keys. A read-only key sees 7 of the tools: no send_message, mark_read or transcribe_voice_note.Run MCP: Add Server from the Command Palette, choose HTTP, enter https://mcp.chesly.app/mcp, and sign in with Chesly when VS Code asks.
Steps for Claude, ChatGPT, Claude Code, Codex, Cursor, n8n, the OpenAI API and more are on the agent setup page.
Ask your agent in plain words:
The demo inbox at https://agents.chesly.app/demo/mcp serves the same tools over made-up people and messages. It needs no sign-in, and nothing you send is kept.
text, so your agent can tell a message apart from the tool's own words.Chesly is an independent product of Chesly, Inc. It is not affiliated with, endorsed by, or sponsored by any messaging service it works with. Product names are trademarks of their respective owners