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ACI.dev is an open-source AI agent tool infrastructure that provides multi-tenant authentication, permission management, and dynamic discovery functions for over 600 pre-integrated tools. It supports calls through a unified MCP Server or a lightweight SDK, simplifying the development of production-level AI agents.
Developer toolsArtificial intelligence chatbots#AI Agent#Tool Integration#Multi-tenant Authentication#Unified Interface.Python
4 points
10.7K
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Overview

Content Details

Alternatives

What is the ACI.dev MCP Server?

ACI.dev's Unified MCP Server is an intermediate layer that enables AI agents to securely access over 600 tools and services through a unified interface. It handles complex authentication, permission management, and tool discovery, allowing developers to focus on building agent logic.

How to use the MCP Server?

You can directly call tool functions through our Python SDK or integrate with your LLM framework via the Unified MCP Server. The server provides REST API and WebSocket interfaces.

Use Cases

Suitable for AI agent scenarios that require tool usage, such as personal assistants, research assistants, sales automation, customer support, etc. Particularly suitable for production environments that require multi-user and multi-service authentication.

Main Features

Integration of 600+ Tools
Pre-integrated with popular services such as Google Calendar, Slack, and Notion, eliminating the need to develop API clients separately.
Unified Interface
Provides a standardized access method through the MCP Server or SDK, simplifying agent development.
Multi-tenant Authentication
Built-in OAuth process and key management, supporting authentication for developers and end-users.
Dynamic Tool Discovery
Agents can dynamically discover available tools, avoiding context window overload.
Advantages
Eliminates the infrastructure burden of developing each tool integration
Provides a production-ready authentication and permission system
Framework-independent, can be used with any LLM
100% open-source, no vendor lock-in
Limitations
Requires deploying and maintaining your own server instance
Some advanced tools may require additional configuration
Integrating new tools may require community contributions

How to Use

Install the Python SDK
Install our SDK package via pip
Initialize the Client
Create an SDK client instance and configure authentication
Call Tools
Call any available tool through the unified interface

Usage Examples

Personal Assistant Schedules a Meeting
The agent creates a meeting on Google Calendar based on the user's request
Research Assistant Saves Results
The research agent saves the found information to a Notion database

Frequently Asked Questions

What's the difference between the MCP Server and direct API calls?
How to add custom tools?
Does it support enterprise-level SLA?

Related Resources

Official Documentation
Complete product documentation and API reference
Python SDK Repository
SDK source code and usage examples
Demo Video
Function demonstration of the Unified MCP Server
Discord Community
Join our developer community

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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