# whatsapp-mcp-local-ollam

> whatsapp-mcp-local-ollam — aakibansarime-whatsapp-mcp-local-ollam. Use this tool when you need to send WhatsApp messages using natural language, leveraging a local REST API powered by a large language model (LLM) and custom MCP tools. It solves the problem of integrating WhatsApp messaging with AI agents, enabling automated and personalized communication. This tool is ideal for developers and businesses looking to automate WhatsApp interactions, with inputs including natural language queries and outputs being sent WhatsApp messages.

Canonical page: https://skillsregistry.net/skills/aakibansarime-whatsapp-mcp-local-ollam  
JSON: https://api.skillsregistry.net/v1/skills/aakibansarime-whatsapp-mcp-local-ollam

## Description

WhatsApp Messaging with MCP & Ollama This project integrates PraisonAI Agents with Ollama (llama3.2) and a Go-based WhatsApp bridge. It allows you to send WhatsApp messages using natural language through a local REST API, powered by an LLM and custom MCP tools.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/AakibAnsarime/whatsapp-mcp-local-ollam)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aakibansarime-whatsapp-mcp-local-ollam"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aakibansarime-whatsapp-mcp-local-ollam` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aakibansarime-whatsapp-mcp-local-ollam/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt