Is the wa_llm MCP server actively maintained?

The wa_llm MCP server was last committed 29d ago and has 8 contributors. Issue health: 29% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

wa_llm MCP Server

Name: ilanbenb/wa_llm
Rating: 3.8 (1 reviews)
Author: ilanbenb

ilanbenb/wa_llm

Score: 69.0 Rank #4264 MCP Server

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A WhatsApp bot that can participate in group conversations, powered by AI. The bot monitors group messages and responds when mentioned.

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Overview

ilanbenb/wa_llm is a Python tool licensed under MIT. A WhatsApp bot that can participate in group conversations, powered by AI. The bot monitors group messages and responds when mentioned. Topics: communities, mcp, mcp-server, whatsapp, whatsapp-api, whatsapp-bot.

Ranked #4264 out of 24846 indexed tools.

Ecosystem

Python MIT

communitiesmcpmcp-serverwhatsappwhatsapp-apiwhatsapp-bot

Score Breakdown

Stars 15% 171

171 stars → growing community

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 29%

7/24 issues closed → many open issues

Contributors 10% 8

8 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 60

Description Good

License MIT

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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Issue Health high impact

You have 17 open vs 7 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 171
Forks: 60
Open Issues: 17
Closed Issues: 7
Contributors: 8
Dependents: —
Language: Python
License: MIT
Last Commit: 29d ago

Matched Queries

topic:mcptopic:mcp-server

From the README

# 📱 WhatsApp Group Summary Bot

AI-powered WhatsApp bot that **joins any group, tracks conversations, and generates intelligent summaries**.

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## Features

- 🤖 Automated group chat responses (when mentioned)
- 📝 Smart **LLM-based conversation summaries**
- 📚 Knowledge base integration for context-aware answers
- 📂 Persistent message history with PostgreSQL + `pgvector`
- 🔗 Support for multiple message types (text, media, links)
- 👥 Group management & customizable settings
- 🔕 **Opt-out feature**: Users can opt-out of being tagged in summaries/answers via DM.
- ⚡ REST API with Swagger docs (`localhost:8000/docs`)

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## 🐳 Docker Compose Configurations

This project includes multiple Docker Compose files for different environments:

| File                           | Purpose                                                                        | Usage                                                  |
| ------------------------------ | ------------------------------------

Read full README on GitHub →