ACI.dev – An open-source MCP infrastructure platform designed for AI agents

What is ACI.dev

ACI.dev is an open-source infrastructure platform designed specifically for AI agents, offering robust support for tool invocation. It integrates over 600 prebuilt tools, including popular services like Gmail, Slack, and Notion, accessible via function calls or the MCP (Model-Context-Protocol) server.

With multi-tenant authentication and dynamic tool discovery, AI agents can call tools based on intent and context while enforcing security through natural language-defined permission boundaries.

ACI.dev is framework-agnostic, compatible with any LLM framework or agent architecture. Developers can easily integrate tools via the Python SDK or MCP server, without building separate OAuth flows or API clients for each tool.

Key Features of ACI.dev

Extensive Prebuilt Integrations: Offers 600+ prebuilt tool integrations covering common services and applications like Gmail, Slack, Notion, and more.
Flexible Access Methods: Tools can be accessed via direct function calls or the unified Model-Context-Protocol (MCP) server.
Multi-Tenant Authentication & Access Control: Built-in OAuth flow and secret management with support for multi-tenant authentication and fine-grained permission controls.
Dynamic Tool Discovery: AI agents can discover and utilize tools on demand based on intent, without manual setup.
Natural Language Permission Boundaries: Define access limits using natural language to ensure agents operate safely within authorized scopes.
Framework & Model Agnostic: Compatible with any LLM or agent architecture, making it easy to integrate ACI.dev into existing AI projects without changing core infrastructure.
Multi-Language Support: Provides SDKs and developer tools in multiple languages including Python and Node.js, enabling fast development and easy onboarding.
Monitoring & Logging: Detailed monitoring and logging features allow developers to track tool usage, performance metrics, and errors in real time for easier debugging and optimization.

Official Website

Website: aci.dev
GitHub Repository: github.com/aipotheosis-labs/aci

Application Scenarios for ACI.dev

Personal Assistant Chatbots: Search the web, manage calendars, send emails, and interact with SaaS tools.
Research Agents: Conduct topic-specific research and sync findings to other applications.
Sales Agents: Automatically generate lead lists, send outreach emails, and update CRM systems.
Customer Support Agents: Answer customer queries, manage support tickets, and take action based on requests.