Klavis AI

Klavis AI

Klavis AI is an open-source MCP integration platform that, through its core product Strata, helps AI agents reliably and at scale connect to and use a wide range of external tools and services, simplifying the development and deployment of enterprise-grade AI applications.
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MCP integration platformAI agent tool invocationOpen-source MCP server StrataEnterprise-grade AI application developmentCross-application workflow automation

Features of Klavis AI

Provides an open-source MCP integration layer that standardizes the connection between AI agents and external tools
Enables scalable, reliable incremental tool discovery and invocation via the Strata server
Centralized management of OAuth authentication, security policies, and context to reduce development complexity
More than 100 ready-to-use integrations, covering Jira, GitHub, Slack, and other popular services
Supports both cloud-hosted and self-hosted deployments to meet various enterprise compliance and data isolation requirements

Use Cases of Klavis AI

When developers build enterprise-grade AI assistants that must orchestrate multiple tools, for unified integration and management
For automating customer support by connecting systems like Zendesk and intelligently handling tickets
When a team needs insights from meeting recordings, by integrating transcription tools to automatically generate summaries and action items
When building AI-driven event response systems, to integrate monitoring tools like PagerDuty to enable automation
Non-technical users who want to execute complex operations with simple commands can use its pre-built Slack or web clients

FAQ about Klavis AI

QKlavis AI 是什么，主要解决什么问题？

Klavis AI is an open-source MCP-based integration platform, centered on the Strata server. It primarily addresses scalability, reliability, and complex context management challenges faced by AI agents when integrating and managing a large number of external tools.

QKlavis AI 支持哪些部署方式？

Klavis AI offers cloud hosting (recommended for beginners) and self-hosted deployment. Self-hosting can be done via Docker containers or run locally to meet an organization's data sovereignty and compliance requirements.

Q使用 Klavis AI 需要编程知识吗？

For developers, Klavis AI provides APIs, SDKs, and a CLI for deep integration. It also offers pre-built clients for non-technical users (such as Slack and web UI), enabling feature usage through simple commands and lowering the barrier to entry.

QKlavis AI 的安全性如何保障？

The platform centrally handles OAuth authorization, credential management, and access control, with audit logs for traceability. The enterprise edition is SOC 2 compliant, maintaining security boundaries through capability-based policies and token exchange technologies.

QKlavis AI 的 Strata 服务器有什么特别之处？

Strata is Klavis AI's open-source MCP server that uses an incremental tool discovery approach. It enables AI agents to efficiently navigate thousands of tools and perform actions, effectively avoiding context-window overload common with traditional methods.

QKlavis AI 适合什么样的团队或项目使用？

It is highly suitable for teams building production-grade AI applications that reliably orchestrate multiple external tools, including enterprise AI assistant development, complex workflow automation, and rapid AI application prototyping and deployment.