SmallClaw V1.0.3 Adds Webhooks, n8n Automation, and MCP Server Support
Webhook Integration
SmallClaw now includes a built-in webhook server running directly inside the gateway. Any service that can send an HTTP POST can trigger it without middleware. The architecture follows: external service posts an event → SmallClaw receives it → agent runs in the background → result can be delivered back to your chat session and optionally to Telegram.
Two main endpoints are available:
POST /hooks/agent- runs a full agent job and returns 202 immediately while the agent runs in the background. This enables triggering real work from services like GitHub, Stripe, Shopify, Vercel, Home Assistant, or monitoring alerts.POST /hooks/wake- a low overhead nudge for event notifications that can either run now or queue for the next heartbeat cycle.
Security features include token-based authentication, rejection of query string tokens on purpose, and brute force lockout after repeated failed attempts.
n8n Local Automation
For services that don't support outgoing webhooks, you can run n8n locally as a middleware workflow engine. Example workflow: Google Sheets change trigger → n8n detects it → n8n calls SmallClaw webhook → SmallClaw runs the agent job → response goes to Telegram or your last session. This creates a local automation stack with n8n and SmallClaw running on your machine, using a local model for the work.
MCP Server Connections
SmallClaw now supports MCP (Model Context Protocol) server connections, which serve as a standard plugin system for AI. When a tool exposes an MCP server, SmallClaw can connect to it and gain those tools without custom integration code per service. This allows the agent to discover and call tools through the protocol from various MCP servers including GitHub, databases (Postgres, SQLite), search, filesystem, memory, and browser servers.
The developer is requesting MCP server integration suggestions from users, specifically mentioning GitHub issues and PR workflows, Postgres database assistant, Notion knowledge base, Slack read and post, Brave search, and Home Assistant actions.
Additional Updates
SmallClaw now supports Discord and WhatsApp messaging, allowing users to chat directly with their agent via these platforms. The tool remains built and tested with small local LLMs, maintaining its purpose as a local assistant rather than moving to cloud-only operation.
📖 Read the full source: r/openclaw
👀 See Also
Claude-Control: Mobile Remote Control for Claude Code Sessions
Claude-control is an open-source tool that lets you manage Claude Code sessions from your phone via HTTPS and WebSocket. It runs Claude Code in a real PTY inside tmux, detects permission prompts, and sends push notifications with Allow/Deny buttons.
Qwen2-0.5B Fine-Tuned for Local Task Automation with llama.cpp
A developer fine-tuned Qwen2-0.5B for task automation using LoRA on ~1000 custom examples, creating a 300MB GGUF model that runs locally on CPU via llama.cpp. The model takes natural language tasks, detects task types, and generates execution plans with CLI commands and hotkeys.
LLM-Memory.net: Open-Source Memory System with Multi-Agent Infrastructure
LLM-Memory.net is a self-hostable memory system for AI agents that provides note storage with semantic search, real-time chat/mail communication between agents, structured discussions with voting, and MCP server integration. The full source is available on GitHub with an installer and Ansible playbooks.
Zot: A Lightweight Terminal Coding Agent Now Supports Claude Opus 4.8
Zot is a minimal terminal coding agent distributed as a single static Go binary with no runtime or Docker dependencies. It now supports Claude Opus 4.8 along with dozens of other models.