AgentIndex icon
AgentIndex
telegram-search logo
telegram-search
★ 4.1k
vs
agentql-mcp logo
agentql-mcp
★ 181

telegram-search vs agentql-mcp

telegram-search: Telegram Search is a tool designed to address the challenges of searching Telegram chat histories, especially for Chinese content. It provides robust capabilities for backing up and precisely retrieving personal Telegram messages, leveraging powerful local tokenization and vector search for efficient information discovery.; agentql-mcp: AgentQL MCP Server integrates AgentQL's data extraction capabilities into the Model Context Protocol. It allows AI assistants like Claude, VS Code, Cursor, and Windsurf to extract structured data from web pages using natural language prompts. Setup requires npm installation and an API key from AgentQL.

01

TL;DR

telegram-search logo
telegram-searchData Processing · ★ 4.1k

Efficiently finding specific messages in extensive Telegram chat histories.

Read telegram-search full review →
agentql-mcp logo
agentql-mcpData Processing · ★ 181

Extract video lists from YouTube search results

Read agentql-mcp full review →
02

Side-by-Side Comparison

Field
telegram-search logotelegram-search
agentql-mcp logoagentql-mcp
Category
Data Processing
Data Processing
Stars
★ 4.1k
★ 181
License
AGPL-3.0
MIT
Install Command
docker compose -f docker-compose.yml up -d
npm install -g agentql-mcp
Updated
1w ago
6d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Telegram, Vector Search, AI
agent, agentql, ai
03

Features

telegram-search logotelegram-search
01Multi-database chat history export (PGlite, PostgreSQL compatible).
02Automatic media resource backup to MinIO object storage.
03Real-time synchronization for automatic retrieval and update of new messages.
04Intelligent multi-language tokenization for precise retrieval.
05Combined fuzzy matching, vector semantic search, and RAG AI Q&A.
agentql-mcp logoagentql-mcp
01Extract structured data from any URL using natural language prompts
02Seamless integration with MCP-compatible AI assistants
03One-click install options for VS Code and Cursor
04Flexible configuration for multiple platforms
05Supports development and debugging via MCP Inspector
04

Use Cases

telegram-search logotelegram-search
↳Efficiently finding specific messages in extensive Telegram chat histories.
↳Searching and retrieving Chinese chat records that Telegram's native search cannot handle.
↳Utilizing AI for smart summaries of unread messages and interactive assistant dialogues.
agentql-mcp logoagentql-mcp
↳Extract video lists from YouTube search results
↳Scrape product information from e-commerce sites
↳Collect article metadata from news websites
05

Best For

telegram-search logotelegram-search
Trending
agentql-mcp logoagentql-mcp
—
FAQ

FAQ

What is the difference between telegram-search and agentql-mcp?
Both telegram-search and agentql-mcp are in the Data Processing category. telegram-search has 4.1k stars, while agentql-mcp has 181 stars.
Which is better, telegram-search or agentql-mcp?
The best choice depends on your use case. Choose telegram-search if Efficiently finding specific messages in extensive Telegram chat histories., and agentql-mcp if Extract video lists from YouTube search results.
Is telegram-search free or open source?
Yes, telegram-search is open source on GitHub (AGPL-3.0).
Is agentql-mcp free or open source?
Yes, agentql-mcp is open source on GitHub (MIT).
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