ACI.dev provides an open-source infrastructure layer for AI agents, enabling them to securely access over 600 tools and services. It targets developers building production-ready AI agents, offering solutions for authentication, tool discovery, and permission management, thereby reducing infrastructure complexity.

How It Works

ACI.dev acts as a middleware, abstracting complex authentication flows (like OAuth) and API interactions for various services. It exposes these capabilities as unified function calls, accessible either directly via a Python SDK or through a Unified Model-Context-Protocol (MCP) server. This approach allows AI agents to interact with diverse tools using natural language commands and permissions, without needing to manage individual API clients or authentication mechanisms.

Quick Start & Requirements

• Local development requires running separate backend and frontend components; refer to their respective README files.
• Key dependencies include Python. Specific requirements for backend and frontend are detailed in their individual READMEs.
• Links: Documentation, Demo Video, Python SDK, Unified MCP Server.

Highlighted Details

• Over 600 pre-built tool integrations.
• Supports multi-tenant authentication and granular permissions.
• Framework and model agnostic, compatible with any LLM framework.
• Offers flexible access via MCP server or Python SDK.

Maintenance & Community

• Active community engagement via Discord and social media (Twitter/X, LinkedIn).
• Open to contributions and integration requests.
• Links: Discord, Twitter/X, LinkedIn.

Licensing & Compatibility

• Licensed under Apache 2.0, permitting commercial use and integration with closed-source applications.

Limitations & Caveats

• The project README explicitly directs users to separate repositories for the Unified MCP server (aci-mcp) and the Python SDK (aci-python-sdk), indicating a modular architecture that may require managing multiple components.