Browse and summarize Telegram chats directly from your AI assistant. Developers can integrate Telegram message access into Claude or other LLMs for chat analysis, monitoring, and content extraction.
church.ai.mcp/mcp-hub
https://mcp.ai.church/mcp
HTTP
No auth required
How models use it and what it is built for.
Browse and summarize Telegram chats directly from your AI assistant. Developers can integrate Telegram message access into Claude or other LLMs for chat analysis, monitoring, and content extraction.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for MCP Hub — Telegram Access.
Paste any of these into Agent Studio after connecting MCP Hub — Telegram Access.
Common questions about connecting and running MCP Hub — Telegram Access.
How do I authenticate this MCP server with my Telegram account?
The server connects via HTTP to https://mcp.ai.church/mcp. You'll need to provide Telegram credentials or an API token during setup. Check the server's environment variable documentation for required auth parameters.
Can this server read private messages and group chats?
Yes, the server can browse chats and read messages from both private conversations and groups you have access to. Permissions depend on your Telegram account's access level.
What's the difference between this and just using Telegram's native search?
This MCP server lets your AI assistant programmatically access and analyze Telegram data in real-time, enabling automated summarization, cross-chat analysis, and integration with other AI workflows—beyond what Telegram's UI search provides.
Is there a rate limit or cost for using this server?
Pricing and rate limits depend on the church.ai service hosting the endpoint. Check their documentation or contact support for details on usage tiers and any associated costs.
Can I use this server to monitor or archive Telegram messages?
The server can read and summarize messages, which enables monitoring and archival workflows. However, confirm with the service's terms of service that your intended use case (e.g., automated logging) is permitted.
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