ChipsAI MCP Server

MCP server for ChipsAI — manage chatbots, conversations, and AI models

Local serverstdioPython

What is the ChipsAI MCP server?

MCP server for ChipsAI — manage chatbots, conversations, and AI models. The chipsai mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 2 defined tools rather than through you.

What it actually does

MCP (Model Context Protocol) server for ChipsBot — manage chatbots, conversations, documents, bot-to-bot routing, RAG configuration, and AI models from Claude Code, Claude Desktop, or any MCP client.

Its toolset

Everything the assistant can do here goes through one of these:

  • Conversations — The Conversations tool exposed by this server
  • Chat — The Chat tool exposed by this server

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Configuration

You will need 2 environment variables: CHIPSAI_API_KEY, CHIPSAI_API_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Python 3.11+ - uv (recommended) or pip - A ChipsBot account (sign up)

When to reach for it

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. ChipsAI's toolset — Conversations, Chat — is a fair guide to whether it matches your workflow. It is maintained by fgasparetto; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the chipsai mcp server does with a few real requests.

Available tools

ToolWhat it does
ConversationsThe Conversations tool exposed by this server.
ChatThe Chat tool exposed by this server.

How to install the ChipsAI MCP server

{
  "mcpServers": {
    "chipsai": {
      "command": "uvx",
      "args": ["chipsai-mcp"],
      "env": {
        "CHIPSAI_API_KEY": "chipsai_your_api_key_here"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.11+ - uv (recommended) or pip - A ChipsBot account (sign up)
VariableDescriptionRequired
CHIPSAI_API_KEYCredential the server authenticates with.Yes
CHIPSAI_API_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use ChipsAI to Conversations.
  • Use ChipsAI to Chat.

Frequently asked questions

It connects ChipsAI to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Conversations, Chat) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with ChipsAI directly.