Is Wa_llm safe to use?

Wa_llm has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Wa_llm?

Wa_llm can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with Wa_llm?

Wa_llm is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is Wa_llm actively maintained?

Wa_llm is actively maintained — last commit was 1 day ago. It has 160 GitHub stars.

Wa_llm

Name: Wa_llm
Author: ilanbenb

by ilanbenb

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

160 0 tools GitHub

No known CVEs

MIT license

Actively maintained

Last commit 1d ago

Works with most clients

Transport: stdio

0 tools

Grade F

Edit this pageView history

Communication

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "wa-llm": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

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[![MCPpedia Score](https://mcppedia.org/api/badge/wa-llm)](https://mcppedia.org/s/wa-llm)

Read me

What Wa_llm does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

41/100across 5 weighted dimensions

How we score →

0255075100

−59

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Wa_llm safe to use?: Wa_llm has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Wa_llm?: Wa_llm can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with Wa_llm?: Wa_llm is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is Wa_llm actively maintained?: Wa_llm is actively maintained — last commit was 1 day ago. It has 160 GitHub stars.

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Community

Discussion

Start a conversation

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Communication

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "wa-llm": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/wa-llm)](https://mcppedia.org/s/wa-llm)

Read me

What Wa_llm does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

📱 WhatsApp Group Summary Bot

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

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)

🐳 Docker Compose Configurations

This project includes multiple Docker Compose files for different environments:

File	Purpose	Usage
`docker-compose.yml`	Default/Development. Builds the application from source code.	`docker compose up -d`
`docker-compose.prod.yml`	Production. Uses pre-built images from GHCR. Recommended for deployment.	`docker compose -f docker-compose.prod.yml up -d`
`docker-compose.local-run.yml`	Local Execution. For running the app on host while services run in Docker.	`docker compose -f docker-compose.local-run.yml up -d`
`docker-compose.base.yml`	Base Configuration. Contains shared service definitions.	❌ Do not use directly

📋 Prerequisites

🐳 Docker and Docker Compose
🐍 Python 3.13+
🗄️ PostgreSQL with pgvector extension
🔑 Voyage AI API key
📲 WhatsApp account for the bot

Quick Start

1. Clone & Configure

git clone https://github.com/YOUR_USER/wa_llm.git cd wa_llm

2. Create .env file

Copy .env.example to .env and fill in required values.

cp .env.example .env

Environment Variables

Variable	Description	Default
`WHATSAPP_HOST`	WhatsApp Web API URL	`http://localhost:3000`
`WHATSAPP_BASIC_AUTH_USER`	WhatsApp API user	`admin`
`WHATSAPP_BASIC_AUTH_PASSWORD`	WhatsApp API password	`admin`
`VOYAGE_API_KEY`	Voyage AI key	–
`DB_URI`	PostgreSQL URI	`postgresql+asyncpg://user:password@localhost:5432/postgres`
`LOG_LEVEL`	Log level (`DEBUG`, `INFO`, `ERROR`)	`INFO`
`ANTHROPIC_API_KEY`

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

41/100across 5 weighted dimensions

How we score →

0255075100

−59

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Wa_llm safe to use?: Wa_llm has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Wa_llm?: Wa_llm can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with Wa_llm?: Wa_llm is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is Wa_llm actively maintained?: Wa_llm is actively maintained — last commit was 1 day ago. It has 160 GitHub stars.