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telegram-parser MCP Server

TheMyxa/telegram-parser

Score: 48.0 Rank #22320 Communication
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Overview

TheMyxa/telegram-parser is a Python tool. Topics: analysis, mcp, mcp-server, python, telegram.

Ranked #22320 out of 24846 indexed tools.

Ecosystem

Python No license 3 pypi/wk
analysismcpmcp-serverpythontelegram

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 127

127 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → recently updated

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 3/wk

3 weekly installs → early adoption

Forks 9
Description None
License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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License low impact

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Contributors medium impact

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Matched Queries

topic:mcptopic:mcp-server

From the README

# TG

[Русский](README_ru.md) | [中文](README_cn.md)

TG is a local-first Telegram comments exporter and analytics dashboard. It exports channel posts, discussion comments, reactions, links, optional media files, and can update existing datasets incrementally.

Current version: `2.3.1`.

## Features

- Export Telegram channel posts and comments with Telethon.
- Use one or more channels in `CHANNEL`, separated by commas.
- Save exports as `JSON`, `CSV`, `Parquet`, or `PostgreSQL`.
- True incremental export: scan new posts and revisit older exported posts to refresh comments, reactions, and counters.
- Optional media download into `data/content/<dataset_name>/`.
- Optional anonymization of `user_id`, `username`, `first_name`, and `last_name`.
- Web UI on port `9595` with dashboard, post view, comment tree, filters, user profiles, export launch screen, Scheduler mode, and Watch mode.
- Open local JSON exports from `data/raw` directly in the dashboard, sorted by date or channel.
- LLM analyz
Read full README on GitHub →

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