Klavis is an open-source MCP integration platform that lets AI agents use external tools reliably and at scale. Built by Klavis AI and backed by more than 5,800 GitHub stars, it provides over 100 prebuilt Model Context Protocol integrations with OAuth handled for you, plus Strata, a single intelligent MCP server that helps agents navigate thousands of tools without overwhelming their context window.
Connecting agents to real SaaS tools means dealing with authentication, inconsistent APIs and tool overload. Klavis standardises that layer: teams can run its MCP servers in the Klavis cloud, self-host them with Docker, or call them through Python and TypeScript SDKs and a REST API. Its MCP Sandbox product also provides scalable environments for training and evaluating agents with reinforcement learning, making the platform useful both in production products and in agent research. The company has since expanded towards providing live environments and long-horizon task data for frontier model post-training, which keeps the open-source integration platform closely aligned with what production agent teams actually need. Regular releases and a large integration catalogue make it one of the most complete open MCP platforms available. Documentation, a Discord community and per-integration guides round out the project.
Freemium. Self-hosting the open-source servers is free; the cloud-hosted platform at klavis.ai offers paid plans for teams that want managed infrastructure and support.
Developers building agents that need dependable access to tools like Gmail, Slack and GitHub, and research teams that need realistic tool environments for training agents.