Kfastov Telegram MCP Server

The Kfastov Telegram MCP Server bridges the gap between AI assistants and the rich ecosystem of Telegram. By exposing a set of well‑defined tools over the Model Context Protocol, it lets assistants like Claude query, search, and filter Telegram channels without needing to embed a full client library in the assistant itself. This removes the need for custom API wrappers or manual authentication flows, enabling developers to focus on higher‑level logic while still harnessing the real‑time messaging power of Telegram.

What Problem Does It Solve?

Many AI assistants lack direct access to external messaging platforms, limiting their ability to pull context from real‑world conversations or broadcast updates. Telegram is a widely used channel for news, community discussions, and real‑time alerts, yet integrating it into an assistant traditionally requires handling OAuth, session persistence, and message parsing. The MCP server abstracts these concerns behind a simple protocol: authentication is handled once during setup, and subsequent calls to search or retrieve messages are performed through standard MCP tools. This approach eliminates boilerplate code and ensures consistent error handling across different assistants.

Core Capabilities

• Search Channels by Keywords – Perform a keyword‑based lookup across all accessible channels, returning metadata such as channel ID and title.
• List Available Channels – Enumerate every channel the authenticated account can view, providing a quick inventory for downstream tasks.
• Get Messages from Channels – Retrieve recent messages from any channel by ID, optionally specifying limits to control payload size.
• Filter Messages by Pattern – Apply regular expressions to message text, enabling pattern‑matching searches such as extracting URLs, hashtags, or specific phrases.

These tools are exposed as standard MCP resources, meaning any assistant that understands the protocol can invoke them with a single JSON payload. The server also handles session reuse, so developers need not re‑authenticate on each run.

Real‑World Use Cases

• News Aggregation – An assistant can search for channels containing a keyword like “tech” and pull the latest posts to summarize industry trends.
• Customer Support Automation – Teams can configure the server to monitor support channels, automatically filtering messages that contain certain error codes or user IDs.
• Content Moderation – By applying regex filters, an assistant can flag or delete messages that violate community guidelines before they reach end users.
• Event Notifications – A bot can broadcast event reminders by fetching scheduled messages from a channel and pushing them to other platforms.

Integration with AI Workflows

Developers simply point their MCP‑compatible assistant at the server’s URL (). Once connected, the assistant can request any of the available tools using the standard format. Because the server handles authentication and message parsing internally, the assistant’s prompts remain concise and focused on intent rather than plumbing. This tight coupling also ensures that updates to the Telegram API or changes in channel structure are isolated within the server, keeping the assistant’s code stable.

Unique Advantages

• Zero‑Code Assistant Integration – No need to embed Telegram SDKs or handle authentication logic inside the assistant.
• Secure Session Management – Sessions are stored locally and reused automatically, reducing exposure of sensitive credentials.
• Regex‑Based Filtering – Offers powerful, language‑agnostic pattern matching without requiring the assistant to implement its own filtering logic.
• Modular Architecture – The server’s design allows additional tools (e.g., sending messages or editing posts) to be added with minimal effort, keeping the MCP contract clean and extensible.

In summary, the Kfastov Telegram MCP Server empowers AI assistants to seamlessly tap into Telegram’s vast messaging network, providing robust search and filtering tools that are both developer‑friendly and secure.