Case studies
Announcing MCP
1 min read
"Excited to share that we're building the largest open source aggregation of MCP servers on earth and hosting them all."
MCP is short for 'Model Context Protocol' and will be a single service that routes requests to our hosted MCP servers.
Our team will be independently contributing new servers (aka agents that your AI will be able to interact with) to the project while also maintaining the project publicly and managing open source contributions. You can self host any server or use our managed servers completely within your AI agents.
What is MCP?
Model Context Protocol, MCP for short, is a standardized way for AI to interact with 3rd party apps. If you're familiar with an API, it's similar but even simpler and more straightforward than API specifications so AI apps like Claude and ChatGPT can fetch and write data from the tools you use everyday. Hosted MCP servers make it really easy to add 3rd party integrations to your AI apps or agents on the fly.
How does it work?
"I just want to use MCP"
If you're looking to use the MCP clients— as in you want to do cool things like send emails and post to Slack from within Cursor, Claude (local only), Chat GPT (coming soon) or any other AI client—you'll simply have to authenticate with Gumloop and authorize those apps.
Why open source?
We're going back to our roots a bit here. The first version of Gumloop was open source. I had always thought "the community is going to be more creative than we could ever be, let them contribute". We learned quickly that the overlap between open source contributors and low-code tools like Gumloop was effectively 0.
With MCP however, developers are already building their own servers but creating super fragmented projects across GitHub. Creating a centralized repo of servers that we're contributing to on a daily basis feels like the direction that's both the most logical and by far the most fun.
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Case studies
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