Which is more popular, Multi-Modal LangChain agents in Production or An MCP-based Chatbot?

An MCP-based Chatbot has more GitHub stars (30,385 vs 479).

Which is more actively developed, Multi-Modal LangChain agents in Production or An MCP-based Chatbot?

An MCP-based Chatbot had more commits in the last 90 days (111 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Multi-Modal LangChain agents in Production has had no commit in 38 months; An MCP-based Chatbot is actively maintained (111 commits in the last 90 days).
An MCP-based Chatbot is growing faster: +530 GitHub stars in the last 30 days vs +0 for Multi-Modal LangChain agents in Production.
Pick Multi-Modal LangChain agents in Production for: deploy LangChain Agents and connect them to Telegram. Pick An MCP-based Chatbot for: an MCP-based chatbot.

From GitHub data refreshed daily.

Deploy LangChain Agents and connect them to Telegram

An MCP-based chatbot

	Multi-Modal LangChain agents in Production	An MCP-based Chatbot
Stars	479	30.4k
Star velocity /mo	0.3157894736842105	530
Commits (90d)	0	111
Releases (6m)	0	4
Overall score	0.1390646436413974	0.6923604890815849

+Production-ready infrastructure with built-in memory management and deployment tooling via Steamship platform
+Multi-modal support including voice capabilities and embeddable chat windows for versatile user interactions
+Telegram integration and monetization features built-in, enabling immediate deployment and revenue generation

-Platform dependency on Steamship creates vendor lock-in and limits deployment flexibility
-Limited documentation beyond basic setup may create learning curve for complex customizations
-Focused primarily on Telegram integration, which may not suit all chatbot deployment scenarios

•Building production-ready Telegram chatbots with persistent memory for customer service or community engagement
•Creating voice-enabled AI companions or assistants that can be monetized through subscription or usage fees
•Rapid prototyping and deployment of LangChain agents for businesses needing immediate conversational AI solutions

Which is more popular, Multi-Modal LangChain agents in Production or An MCP-based Chatbot?: An MCP-based Chatbot has more GitHub stars (30,385 vs 479).
Which is more actively developed, Multi-Modal LangChain agents in Production or An MCP-based Chatbot?: An MCP-based Chatbot had more commits in the last 90 days (111 vs 0).
Should I use Multi-Modal LangChain agents in Production or An MCP-based Chatbot?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.