AIPo Labs
Connects MCP clients to the ACI.dev platform to search and execute any of the available tools/functions. Provides both direct app access and unified discovery across all ACI.dev functions.
Allow dynamic search and execute any tools available on ACI.dev.
What it does
- Search all available functions on ACI.dev platform
- Execute any discovered function dynamically
- Access tools from specific ACI.dev apps directly
- Run servers locally via uvx command
- Connect via stdio transport protocol
Best for
About AIPo Labs
AIPo Labs is a community-built MCP server published by aipotheosis-labs that provides AI assistants with tools and capabilities via the Model Context Protocol. AIPo Labs — dynamic search and execute any tools available on ACI.dev for fast, flexible AI-powered workflows. It is categorized under developer tools.
How to install
You can install AIPo Labs in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
AIPo Labs is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
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
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
aci-mcp-unified: An MCP server that provides two meta functions (tools) (ACI_SEARCH_FUNCTIONSandACI_EXECUTE_FUNCTION) to discover and execute ALL functions (tools) available on ACI.dev
[!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.
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