ACI: Open-Source Infra to Power Unified MCP Servers
LocalAbout ACI: Open-Source Infra to Power Unified MCP Servers
ACI.dev is an open-source tool-calling platform for developers building AI agents and agentic IDE workflows. It connects agents to hundreds of integrations with managed authentication, permissions, and tool discovery, via SDKs or a unified MCP server.
Key features
- 01600+ prebuilt integrations
- 02Unified MCP server and SDK access
- 03Multi-tenant OAuth and secrets
- 04Granular natural-language permissions
- 05Dynamic tool discovery
- 06Tool-call logging
Use cases
- 01Automating deployments and DevOps tasks
- 02Building calendar and email chatbots
- 03Syncing research into other apps
- 04Automating sales outreach and CRM updates
MCP support
ACI.dev offers a Unified MCP server that exposes its integrations to MCP clients. It also provides SDKs for direct function calling.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
ACI: Open-Source Infra to Power Unified MCP Servers and VibeOps
Note
This repo is for the ACI.dev platform. If you're looking for the Unified MCP server built with ACI.dev, see aci-mcp.
ACI.dev is the open-source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent. It gives agents intent-aware access to tools with multi-tenant auth, granular permissions, and dynamic tool discovery—exposed as either direct function calls or through a Unified Model-Context-Protocol (MCP) server.
Examples: Instead of writing separate OAuth flows and API clients for Google Calendar, Slack, and more, use ACI.dev to manage authentication and provide AI agents with unified, secure function calls. Access these capabilities through our Unified MCP server or via our lightweight Python SDK, compatible with any LLM framework.
Supercharge vibe coding and automate devOps by adding a single unified MCP server to your favourite agentic IDE. Configure the MCP with Vercel, Supabase, Cloudflare, and other platforms. Let AI handle provisioning, deployment, database configs, and debugging to turn a vibe coded prototype into a live product.
Join us on Discord to help shape the future of Open Source AI Infrastructure and VibeOps.
🌟 Star ACI.dev to stay updated on new releases!
📺 Demo Video
ACI.dev Unified MCP Server Demo
✨ Key Features
- 600+ Pre-built Integrations: Connect to popular services and apps in minutes.
- Flexible Access Methods: Use our unified MCP server or our lightweight SDK for direct function calling.
- Multi-tenant Authentication: Built-in OAuth flows and secrets management for both developers and end-users.
- Enhanced Agent Reliability: Natural language permission boundaries and dynamic tool discovery.
- Framework & Model Agnostic: Works with any LLM framework and agent architecture.
- 100% Open Source: Everything released under Apache 2.0 (backend, dev portal, integrations).
💡 Why Use ACI.dev?
ACI.dev improves tool-calling reliability and accountability:
- Authentication at Scale: Connect multiple users to multiple services securely.
- Discovery Without Overload: Find and use the right tools without overwhelming LLM context windows.
- Natural Language Permissions: Control agent capabilities with human-readable boundaries.
- Tool-use Logging: See how your agent called tools and the issues it ran into.
- Build Once, Run Anywhere: No vendor lock-in with our open source, framework-agnostic approach.
🧰 Common Use Cases
- VibeOps: Automate devOps by letting your agentic IDE access Vercel, Supabase, Cloudflare, Sentry and more to ship live products.
- Personal Assistant Chatbots: Build chatbots that can search the web, manage calendars, send emails, interact with SaaS tools, etc.
- Research Agent: Conducts research on specific topics and syncs results to other apps (e.g., Notion, Google Sheets).
- Outbound Sales Agent: Automates lead generation, email outreach, and CRM updates.
- Customer Support Agent: Provides answers, manages tickets, and performs actions based on customer queries.
🔗 Quick Links
- Managed Service: aci.dev
- Documentation: aci.dev/docs
- Available Tools List: aci.dev/tools
- Python SDK: github.com/aipotheosis-labs/aci-python-sdk
- Typescript SDK: github.com/aipotheosis-labs/aci-typescript-sdk
- Unified MCP Server: github.com/aipotheosis-labs/aci-mcp
- Agent Examples Built with ACI.dev: github.com/aipotheosis-labs/aci-agents
- Blog: aci.dev/blog
- Community: Discord | Twitter/X | LinkedIn
💻 Getting Started: Local Development
To run the full ACI.dev platform (backend server and frontend portal) locally, follow the individual README files for each component:
- Backend: backend/README.md
- Frontend: frontend/README.md
👋 Contributing
We welcome contributions! Please see our CONTRIBUTING.md for more information.
Integration Requests
Missing any integrations (apps or functions) you need? Please see our Integration Request Template and submit an integration request! Or, if you're feeling adventurous, you can submit a PR to add the integration yourself!
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.