Telegram
This MCP implementation for Telegram, developed by Sergey Parfenyuk, provides a server interface to interact with Telegram through the MTProto protocol. Built with Python and leveraging libraries like Telethon and Pydantic, it offers tools for listing dialogs and messages. The implementation focuses on providing a standardized way to access Telegram functionality through MCP, making it easier to integrate Telegram capabilities into AI workflows. It's particularly useful for developers and researchers looking to incorporate Telegram messaging and data retrieval into their AI-assisted applications, enabling tasks like automated message analysis, chatbot integration, or social media monitoring.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- communication
- Source
- PulseMCP
- Repository
- github.com/sparfenyuk/mcp-telegram
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Telegram from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.