Disco.dev is an open-source platform that simplifies the integration of various tools with AI agents using Model Context Protocol (MCP) servers. It offers a plug-and-play solution for developers and AI enthusiasts to connect over 37 integrations and 250+ tools, enabling seamless workflows without the need for coding. The platform is currently in research preview and available for free, supporting popular clients like Claude and VSCode. It enhances productivity by automating connections and providing a centralized hub for managing AI interactions.
Free
How to use Disco.dev?
To use Disco.dev, first browse the available integrations on the platform, select one that fits your needs, create an MCP server instance, and connect it to your AI agent such as Claude or VSCode. This allows the AI to interact with external tools like databases, APIs, or productivity apps, solving problems like data retrieval, task automation, and enhanced AI capabilities without manual coding. It's ideal for streamlining workflows and expanding the functionality of AI systems.
Disco.dev 's Core Features
No coding required: Users can set up integrations quickly through a user-friendly interface, eliminating the need for programming skills and reducing setup time.
Open-source MCP servers: The servers are publicly available on GitHub, allowing for customization, community contributions, and transparency in development.
Extensive integrations: Supports over 37 pre-built connections to tools like AWS, Asana, and ElevenLabs, enabling diverse use cases from cloud computing to voice synthesis.
Seamless agent connectivity: Easily links with AI clients such as Claude and VSCode, facilitating real-time interactions and data exchange between AI and external systems.
Centralized management: Provides a hub to browse, connect, and share integrations, simplifying the management of multiple AI workflows and tool connections.
Disco.dev 's Use Cases
A software developer uses Disco.dev to integrate AWS services with an AI agent, automating cloud resource management and reducing manual intervention in deployment processes, thereby improving efficiency and scalability.
A project manager connects Asana through Disco.dev to an AI assistant, enabling automated task updates and progress tracking, which streamlines team coordination and enhances project visibility.
A data scientist leverages integrations with Datadog to feed real-time metrics into an AI model, allowing for predictive analytics and faster insights without writing custom code.
A content creator uses ElevenLabs integration to generate voiceovers directly through an AI agent, saving time on audio production and enabling dynamic content creation.
An IT administrator sets up DuckDuckGo search via Disco.dev for an AI chatbot, providing instant information retrieval and improving user support responses in helpdesk scenarios.
