Zapiar_MCP_Server
Description
# Zapiar MCP Server A lightweight **Model Context Protocol (MCP)** server enabling **agentic automation** within Make.com and Telegram bots — forming the backend for AI-driven sales assistants. ## 🧠 Overview Connects LLM agents to dynamic workflow automation systems, allowing…
About
# Zapiar MCP Server A lightweight **Model Context Protocol (MCP)** server enabling **agentic automation** within Make.com and Telegram bots — forming the backend for AI-driven sales assistants. ## 🧠 Overview Connects LLM agents to dynamic workflow automation systems, allowing real-time decision-making, contextual task…
Details
- Author
- Narendrareddygithub
- Downloads
- 158
- Categories
- Other
Jump to
- Unified MCP interface for multi-agent communication
- Context memory for sequential decision flows
- Low-latency response routing for AI assistants
- Webhook and REST API integration
- JSON Schema automation support
Zapiar_MCP_Server runs on Node.js with Express and uses webhooks and REST APIs to interface with Make.com via its MCP integration. Set up the server, then connect it to Make.com and Telegram bots for agentic automation.
Zapiar MCP Server
A lightweight Model Context Protocol (MCP) server enabling agentic automation within Make.com and Telegram bots — forming the backend for AI-driven sales assistants.
🧠 Overview
Connects LLM agents to dynamic workflow automation systems, allowing real-time decision-making, contextual task execution, and adaptive responses.⚙️ Tech Stack
- Node.js + Express - Make.com MCP Integration - Webhooks + REST APIs - JSON Schema Automation💡 Key Features
- Unified MCP interface for multi-agent communication - Context memory for sequential decision flows - Low-latency response routing for AI assistants🚀 Outcome
Enabled 50% faster workflow automation in Salesman AI prototype.📈 Learning
Understanding of AI agent communication protocols and workflow orchestration in production environments.👤 Author
Ode Narendra ReddySign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
