aipotheosis-labs
MCP Serveraipotheosis-labspublic

aipolabs mcp

MCP server(s) for Aipolabs ACI.dev

Repository Info

240
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36
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240
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Python
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MIT License
License

About This Server

MCP server(s) for Aipolabs ACI.dev

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

MCP servers powered by ACI.dev

IMPORTANT

This README only covers basic development guide. For full documentation and tutorials on ACI.dev MCP servers please visit aci.dev docs.

Table of Contents

  • MCP servers powered by ACI.dev
    • Table of Contents
    • Overview
    • Run MCP Servers Locally
    • Integration with MCP Clients
    • Docker
    • Debugging

Overview

This package provides three Model Context Protocol (MCP) servers for accessing ACI.dev managed functions (tools):

  • aci-mcp-apps: An MCP server that provides direct access to functions (tools) from specified apps Apps Server
  • aci-mcp-unified: An MCP server that provides two meta functions (tools) (ACI_SEARCH_FUNCTIONS and ACI_EXECUTE_FUNCTION) to discover and execute ALL functions (tools) available on ACI.dev Unified Server

IMPORTANT

For detailed explanation and tutorials on the MCP servers please visit aci.dev docs.

Run MCP Servers Locally

The package is published to PyPI, so you can run it directly using uvx:

# Install uv if you don't have it already
curl -sSf https://install.pypa.io/get-pip.py | python3 -
pip install uv
$ uvx aci-mcp --help
Usage: aci-mcp [OPTIONS] COMMAND [ARGS]...

  Main entry point for the package.

Options:
  --help  Show this message and exit.

Commands:
  apps-server     Start the apps-specific MCP server to access tools...
  unified-server  Start the unified MCP server with unlimited tool access.

Integration with MCP Clients

See the Unified MCP Server and Apps MCP Server sections for more information on how to configure the MCP servers with different MCP clients.

Docker

# Build the image
docker build -t aci-mcp .

# Run the unified server
docker run --rm -i -e ACI_API_KEY=<ACI_API_KEY> aci-mcp unified-server --linked-account-owner-id <LINKED_ACCOUNT_OWNER_ID>

# Run the apps server
docker run --rm -i -e ACI_API_KEY=<ACI_API_KEY> aci-mcp apps-server --apps <APP1,APP2,...> --linked-account-owner-id <LINKED_ACCOUNT_OWNER_ID>

Debugging

You can use the MCP inspector to debug the server:

# For unified server
npx @modelcontextprotocol/inspector uvx aci-mcp unified-server --linked-account-owner-id <LINKED_ACCOUNT_OWNER_ID>

# For apps server
npx @modelcontextprotocol/inspector uvx aci-mcp apps-server --apps "BRAVE_SEARCH,GMAIL" --linked-account-owner-id <LINKED_ACCOUNT_OWNER_ID>

Running tail -n 20 -f ~/Library/Logs/Claude/mcp*.log will show the logs from the server and may help you debug any issues.

Quick Start

1

Clone the repository

git clone https://github.com/aipotheosis-labs/aipolabs-mcp
2

Install dependencies

cd aipolabs-mcp
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Owneraipotheosis-labs
Repoaipolabs-mcp
LanguagePython
LicenseMIT License
Last fetched8/10/2025

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