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mcp-server

ShibaClaw: Automate Tasks

Get a security-first AI agent with automation and skills for founders, built with Python, 90 GitHub stars.
intermediate⏱ 1-2 hours💵 Free (self-hosted)
77 stars8 forksPythonQuality 8/10Updated 7/17/2026100% free · open source
What it is

Create a custom AI agent from scratch

What you can make with it

Automations like: when a new Stripe customer signs up, add them to Notion and send a welcome email via Resend.

How it helps

This skill allows you to build a customizable AI agent in a way that's secure and tailored to your business needs.

Real use case example

"A founder wants to automate the onboarding process for new customers by adding them to a Notion database and sending a welcome email. To set this up, they would install a self-hosted AI agent (like ShibaClaw), connect their Stripe webhook, and define a task to automate the Notion database updates and email sending. The outcome: automated onboarding for their customers without the need for manual intervention."

If you're new

When a beginner needs a simple, yet customizable solution for automating repetitive tasks.

If you're senior

When a senior engineer wants to build a custom AI agent with advanced features and flexibility.

Common confusion cleared up

This skill requires some Python knowledge to set up, but it's designed for those who want a high degree of customization and control over their AI agent.

Best inside these AI tools
Claude Desktop
Pairs with
Stripe webhookNotion databaseResend
Why we list it on WorkflowStacks: This is a free and open-source option for building custom AI agents.
What it does

ShibaClaw is a self-hosted security-first AI agent that provides automation and skills for founders, allowing them to manage tasks and interactions across multiple channels and providers.

Install / run
git clone https://github.com/RikyZ90/ShibaClaw.git && cd ShibaClaw
When to use it
  • •When you need a customized AI solution for your startup's specific security and automation requirements
  • •When you want to integrate AI capabilities with your existing infrastructure and tools
  • •When you require a high degree of control and flexibility in your AI agent's configuration and behavior
Quick start
  1. 1Edit the `config.json` file to configure your providers, chat channels, and AI settings
  2. 2Run `python app.py` to start the ShibaClaw server
  3. 3Access the WebUI by navigating to `http://localhost:8000` in your browser
  4. 4Use the `task-schedule` feature to automate tasks and interactions by creating a schedule in the `tasks.json` file
  5. 5Explore the `skills` directory to add custom skills and capabilities to your ShibaClaw agent
Ready-to-paste prompt
Add a new provider by running `python add_provider.py --name MyProvider --type MCP` and then configure it in the `config.json` file
Heads up: Make sure you have Python 3.8 or later installed, as ShibaClaw is built with Python and requires this version or higher to run
Saves to your device

Topics

agent-framework
ai-agent
ai-agents
automation
chatbot
docker
llm
matrix
mcp
multi-agent
ollama
open-source
openai
prompt-injection
python
security
self-hosted
telegram
telegram-bot
windows
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

22
top-level files
10
folders
19.1M
repo size
Apache-2.0
license
Key files
README.de.md
README.es.md
README.fr.md
README.ja.md
README.md
README.pt-BR.md
File tree
.github/
.vscode/
assets/
bridge/
docs/
plugins/
pyinstaller-hooks/
scripts/
shibaclaw/
tests/
.dockerignore
.gitattributes
.gitignore
CHANGELOG.md
CONTRIBUTING.md
deploy_guide.md
docker-compose.yml
Dockerfile
entrypoint.sh
LICENSE
logic_lens_scope.json
pyproject.toml
README.de.md
README.es.md
Quick Actions
Details
Creator
RikyZ90
Language
Python
Category
mcp-server
Published
3/20/2026

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