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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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Servers/Code Execution/Chipp MCP
Code ExecutionOfficial
C

Chipp MCP

What Shopify did for ecommerce, Chipp does for AI agents. Build, deploy, and monetize AI agents for your business — no engineering team required.

0 starsUpdated Aug 28, 2026

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Overview

Connect any MCP client to manage your Chipp apps programmatically The Chipp MCP Server enables AI assistants like Claude Code, Cursor, and other Model Context Protocol (MCP) clients to read, create, and manage your Chipp applications programmatically. > Note: MCP server access requires a Builder plan or higher. <a href="https://build.chipp.ai/plans" target="_blank" rel="noopener noreferrer">Upgrade to Builder</a> > Note: Two products, one URL. This page covers the Chipp MCP (tokens chipp_sk_ / OAuth). Use it to manage Chipp apps: system prompts, knowledge, custom actions, analytics. Is your org entitled (STUDIO_PRO, ENTERPRISE, or Chipp Executive), and has it connected Alchemist Cloud under Settings → Alchemist Cloud? Then this same session already has the full Alchemist Cloud catalog too, tickets, database access, repo search, release control, billing, all of it, documented on the Alchemist Cloud Tickets MCP page. No separate key needed to reach any of it. A dedicated alch_ credential

Installation

Installation instructions are not available yet.

Configuration

{
  "mcpServers": {
    "chipp": {
      "url": "https://build.chipp.ai/mcp",
      "transport": "streamable-http"
    }
  }
}

Capabilities

  • List Chipp apps

    Ask your assistant to retrieve all your Chipp applications and their details from the connected workspace.

  • Create a new app

    Instruct your AI to spin up a new Chipp app (e.g., a customer support bot) with a specified name and configuration.

  • Manage knowledge bases

    Have your assistant bulk-add URLs or files to an app's knowledge base, such as adding multiple documentation links to an FAQ bot.

  • Update system prompts

    Direct your AI to modify or standardize system prompts across one or multiple apps, like switching all apps to a new model.

  • Review analytics

    Ask for conversation analytics over a time period, including identifying apps with low user satisfaction scores.

  • Run evaluations

    Trigger evaluation runs on your apps, such as testing all customer service bots against a set of criteria.

Tags

  • ai-agent
  • development
  • workflow-automation
  • business-operations

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