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ACI is an open source platform designed to enable AI agents to interact with external tools through a unified and structured interface. It focuses on simplifying tool integration by connecting hundreds of pre-built services into agentic environments, allowing developers to avoid building custom API clients and authentication flows for each service. ACI provides intent-aware tool access, meaning agents can dynamically discover and use tools based on context rather than rigid configurations. It supports both direct function calling and a unified Model Context Protocol (MCP) server, offering flexibility in how integrations are exposed to AI systems. ACI also includes multi-tenant authentication and permission controls, ensuring that tool usage is secure and scoped appropriately for different users and agents. Additionally, it is framework-agnostic, making it compatible with various large language model setups and agent architectures.
Features
- Supports 600+ pre-built integrations for popular tools and services
- Provides unified MCP server or direct function-calling access methods
- Includes multi-tenant authentication with OAuth and secrets management
- Enables dynamic tool discovery with intent-aware selection
- Offers granular permission controls using natural language boundaries
- Logs and tracks tool usage for debugging and observability
Project Samples
