nutrition-mcp logo
nutrition-mcp
★ 80
vs
telegram-mcp-readonly logo
telegram-mcp-readonly
★ 13

nutrition-mcp vs telegram-mcp-readonly

nutrition-mcp: Nutrition MCP is a remote server designed for personal nutrition tracking, allowing users to log meals, monitor macros, and review their dietary history through conversational interfaces. It integrates with AI clients like Claude.ai, providing a robust set of tools for managing nutrition data, setting goals, and analyzing trends.; telegram-mcp-readonly: Telegram MCP Readonly allows Model Context Protocol (MCP) clients to search Telegram chats and messages, read conversation history, and download attachments. It operates in a strictly read-only mode, preventing message sending or chat modifications.

01

TL;DR

nutrition-mcp logo
nutrition-mcpAPI Integration · ★ 80

Individuals seeking an AI-powered personal nutrition tracker to log meals and monitor dietary intake.

telegram-mcp-readonly logo
telegram-mcp-readonlyAPI Integration · ★ 13

Integrate Telegram data into MCP-compatible applications for analysis or display.

02

Side-by-Side Comparison

Field
nutrition-mcp logonutrition-mcp
telegram-mcp-readonly logotelegram-mcp-readonly
Category
API Integration
API Integration
Stars
★ 80
★ 13
License
MIT
Apache-2.0
Install Command
git clone https://github.com/akutishevskyi/nutrition-mcp.git && cd nutrition-mcp && bun install && cp .env.example .env
git clone https://github.com/mshykhov/telegram-mcp-readonly.git && cd telegram-mcp-readonly && uv sync --frozen && uv run python setup_readonly.py
Updated
1w ago
4d ago
Open Source
Yes
Yes
Tags
Nutrition Tracking, AI Connector, Conversational UI
Telegram, MCP Protocol, Read-only Access
03

Features

nutrition-mcp logonutrition-mcp
01Log meals, macros, and water intake via conversational interface.
02Look up product nutrition by barcode using Open Food Facts.
03Access daily nutrition summaries, goal progress, and detailed historical trends.
04Integrate seamlessly with AI clients such as Claude.ai through custom connectors.
05Set and track personal nutrition goals for calories, macros, and water.
telegram-mcp-readonly logotelegram-mcp-readonly
01Search Telegram messages across chats, accounts, and folders.
02Read conversation history, topics, rich messages, and custom emoji metadata.
03Download attachments to a single, confined directory.
04Connect via stdio for single clients or a shared local HTTP service for multiple clients.
05Enhanced security with explicit read-only allowlist and private session setup.
04

Use Cases

nutrition-mcp logonutrition-mcp
↳Individuals seeking an AI-powered personal nutrition tracker to log meals and monitor dietary intake.
↳Users wanting to replace traditional nutrition apps with a conversational interface for managing their diet.
↳Developers integrating nutrition tracking capabilities into their AI agents or applications.
↳Anyone looking to analyze their long-term eating habits and nutrition trends.
telegram-mcp-readonly logotelegram-mcp-readonly
↳Integrate Telegram data into MCP-compatible applications for analysis or display.
↳Safely archive Telegram chat history and attachments without risk of accidental modification.
↳Develop custom tools that require secure, read-only access to Telegram content.
↳Enable secure access to Telegram messages for multiple local MCP clients via a shared service.
FAQ

FAQ

What is the difference between nutrition-mcp and telegram-mcp-readonly?
Both nutrition-mcp and telegram-mcp-readonly are in the API Integration category. nutrition-mcp has 80 stars, while telegram-mcp-readonly has 13 stars.
Which is better, nutrition-mcp or telegram-mcp-readonly?
The best choice depends on your use case. Choose nutrition-mcp if Individuals seeking an AI-powered personal nutrition tracker to log meals and monitor dietary intake., and telegram-mcp-readonly if Integrate Telegram data into MCP-compatible applications for analysis or display..
Is nutrition-mcp free or open source?
Yes, nutrition-mcp is open source on GitHub (MIT).
Is telegram-mcp-readonly free or open source?
Yes, telegram-mcp-readonly is open source on GitHub (Apache-2.0).
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