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ACI.DEV: Integration of 600+ tools for AI intelligences via MCP server

General Introduction

ACI.dev is an open source infrastructure platform designed to provide AI intelligences with rapid integration to over 600 tools. It ensures that intelligences have secure access to tools such as Google Calendar, Slack, and Brave Search through multi-tenant authentication and fine-grained permissions management. developers can access tools such as Google Calendar, Slack, and Brave Search through direct function calls or unified MCP Server-ready tools that flexibly adapt to any large-scale language modeling framework. ACI.dev provides a Python SDK and detailed documentation to support the rapid development of out-of-the-box AI intelligences for production environments.

ACI.DEV: Integration of 600+ tools for AI intelligences via MCP server-1


ACI.DEV: Integration of 600+ tools for AI intelligences via MCP server-1

 

Function List

  • Integration with 600+ tools and support for services like Google Calendar, Slack, Brave Search, and more.
  • Supports multi-tenant authentication, manages developer and user rights, and ensures data security.
  • Provides a unified MCP server to simplify tool search and execution.
  • Supports direct function calls and adapts to a variety of AI intelligence frameworks.
  • Provides Python SDK for developers to call ACI API.
  • Supports dynamic tool discovery, where intelligentsia can automatically select tools based on task intent.
  • Provides OAuth2 and API key authentication to simplify the authorization process for third-party tools.
  • Support for natural language permission boundaries for enhanced intelligentsia reliability.
  • Open source community support that allows users to submit tool integration requests or contribute code.
  • Provide detailed documentation and sample code to support quick start.

 

Using Help

Installation and Configuration

ACI.dev is an open source project hosted on GitHub. Developers can integrate ACI functionality by deploying the full platform locally (including the back-end server and front-end portal) or using the Python SDK. The following are detailed installation and usage steps:

1. Local deployment of the ACI.dev platform

To run the ACI.dev back-end server and front-end portal, follow these steps:

  • Cloning Codebase: Run the following command in the terminal to get the ACI source code:
    git clone https://github.com/aipotheosis-labs/aci.git
    cd aci
  • Installation of dependencies: ACI uses Python 3.12+ and Docker. make sure that Docker and Docker Compose are installed. go to the backend directory, install the dependencies:
    cd backend
    uv sync
    source .venv/bin/activate
    

    utilization uv Package Manager installs the dependencies. If the uv, can be run:

    pip install uv
    
  • Configuring Environment Variables: Copy the example environment variable file and modify it:
    cp .env.example .env.local
    

    exist .env.local The following key variables are set in the

    • SERVER_OPENAI_API_KEY: OpenAI API key for smartbody calls.
    • CLI_OPENAI_API_KEY: Same as the server key or another.
    • If using the Stripe billing feature, run the Stripe CLI to get the webhook signature key:
      stripe listen --forward-to localhost:8000/v1/billing/webhook
      

      Returns the output of the SERVER_STRIPE_WEBHOOK_SIGNING_SECRET add to .env.localThe

  • Starting services: Start the backend and frontend with Docker Compose:
    docker-compose up
    

    The back-end API runs by default in the localhost:8000The front-end portal runs on localhost:3000The

  • Access to the front-end portal: Open in browser http://localhost:3000, register for an account. After registration, the system automatically creates test projects and intelligences, and developers can manage tools and permissions through the portal.

2. Using the Python SDK

If you only want to invoke ACI functions through code, you can use the Python SDK:

  • Installing the SDK::
    pip install aci-python-sdk
    
  • Initializing the SDK::
    from aci import ACI
    import os
    client = ACI(api_key=os.environ.get("ACI_API_KEY"))
    

    ACI_API_KEY Available on the ACI.dev platform (http://localhost:3000) is obtained from the project settings.

  • Example: Search for available tools::
    apps = client.apps.search(intent="搜索网页", allowed_apps_only=False)
    print(apps)  # 返回与意图相关的工具列表
    
  • Example: Execution Tool Functions::
    result = client.functions.execute(
    function_name="BRAVE_SEARCH__WEB_SEARCH",
    function_parameters={"query": {"q": "北京天气"}},
    linked_account_owner_id="user123"
    )
    if result.success:
    print(result.data)
    else:
    print(result.error)
    

3. Using the Unified MCP server

The MCP server is the core component of ACI.dev and offers two modes: Application Server and Unified Server:

  • application server: Direct access to the specified tool. For example, launch the application servers for Brave Search and Gmail:
    uvx aci-mcp apps-server --apps "BRAVE_SEARCH,GMAIL" --linked-account-owner-id user123
    
  • unified server: Dynamic discovery and execution of all ACI tools:
    uvx aci-mcp unified-server --linked-account-owner-id user123 --allowed-apps-only
    

    The Unified Server provides two meta-functions:ACI_SEARCH_FUNCTIONS(search tool) and ACI_EXECUTE_FUNCTION(Execution Tool), reducing the LLM context window footprint.

  • Configure account links: Before using the tool, you need to link your account on the ACI.dev platform. For example, link Brave Search:
    result = client.linked_accounts.link(
    app_name="BRAVE_SEARCH",
    linked_account_owner_id="user123",
    security_scheme="API_KEY",
    api_key="your-brave-api-key"
    )
    

    For tools that require OAuth2 (such as Gmail), the SDK returns an authorization URL, and the user completes the authorization in the browser.

4. Operation of special functions

  • Dynamic tool discovery: The Unified MCP Server supports automated tool selection by intelligences based on task intent. Sample code:
    from aci.meta_functions import ACISearchFunctions
    tools = [ACISearchFunctions.to_json_schema(format="OPENAI")]
    

    Intelligent bodies can be passed ACI_SEARCH_FUNCTIONS Query task-related tools.

  • Multi-tenant certification: Developers can set separate permissions for different users. For example, restricting an intelligence to only use a specific user's Brave Search account:
    client.functions.execute(
    function_name="BRAVE_SEARCH__WEB_SEARCH",
    linked_account_owner_id="user123",
    allowed_apps_only=True
    )
    
  • Natural Language Authority BoundaryACI.dev supports defining permissions in natural language. For example, restricting an Intelligent to only "read calendar" and not "modify calendar" is configured through the front-end portal or SDK:
    client.permissions.set(
    agent_id="agent123",
    boundaries={"calendar": ["read"]}
    )
    
  • Community Contributions: Developers can submit requests for new tool integrations or contribute code directly via GitHub. References CONTRIBUTING.md cap (a poem) Integration Request Template::
    gh issue create --title "New Integration: Twitter API" --body-file integration_request.yml
    

5. Access to documentation and examples

  • official document: Access https://aci.dev/docs Get detailed API references and tutorials.
  • Tool List: View https://aci.dev/tools Learn about the 600+ tools supported.
  • Sample Projects: Reference https://github.com/aipotheosis-labs/aci-agents Get an example of intelligent body development.

caveat

  • assure .env.local The API key in the
  • For local development, you can use DBeaver to connect to the database (parameters in the .env.local), view the data structure.
  • The Python SDK is in Beta and may have incompatible updates, so we recommend following the release notes on the GitHub repository.
  • Some tools (such as Brave Search) require users to provide their own API keys, which may involve third-party fees.

 

application scenario

  1. Personal Assistant Chatbot
    Build an AI assistant that searches the web, manages calendars, and sends emails with ACI.dev. Multi-tenant authentication ensures isolation of account data for different users, making it ideal for personal productivity.
  2. Research Intelligence
    Developers can use ACI.dev to integrate Brave Search and Notion to build intelligence that automatically searches and organizes research material for academic research or market analysis.
  3. sales automation
    ACI.dev supports CRM and Gmail integration, allowing developers to build sales intelligence that automatically generates lists of prospects and sends emails to them, improving the efficiency of the organization.
  4. Customer Support Intelligence
    Integrate Zendesk and Slack with ACI.dev to build intelligences that automatically respond to customer inquiries and manage work orders for enterprise customer service.
  5. Open Source Community Collaboration
    The open source nature of ACI.dev encourages developers to contribute new tool integrations to improve the platform ecosystem. For example, add the Twitter API to extend the functionality of intelligences.

 

QA

  1. What programming languages does ACI.dev support?
    Mainly support Python, through the Python SDK to call the API. other languages can be accessed through the REST API, need to implement their own HTTP request.
  2. How do I add a new tool integration?
    To access the GitHub repositories, see CONTRIBUTING.md cap (a poem) Integration Request Template, submit tool integration requests or contribute code directly.
  3. What are the benefits of a unified MCP server?
    pass (a bill or inspection etc) ACI_SEARCH_FUNCTIONS cap (a poem) ACI_EXECUTE_FUNCTION Two meta-functions to unify the management of 600+ tools, reduce LLM context window occupancy, and improve the efficiency of intelligentsia.
  4. Do I need to configure separate authentication for each tool?
    No. ACI.dev offers unified multi-tenant authentication, where developers simply link accounts in the platform and intelligences can securely access the tool.
  5. Does ACI.dev charge a fee?
    ACI.dev is an open source platform and is free to use. Some tools may require users to provide their own API keys, which may involve third-party fees.
  6. How do I ensure that my smart body is safe to operate?
    ACI.dev provides fine-grained privilege management and natural language privilege boundaries, allowing developers to set the scope of operation of intelligences through the front-end portal or SDK.
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