Klavis
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
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What is Klavis?
Klavis AI is an open-source infrastructure platform that makes Model Context Protocols (MCP) easy to use, build, and scale for AI applications and agents. It provides live environments for training AI agents with realistic, long-horizon, complex agentic tasks that span browser sessions, computer actions, code repos, SaaS tools, and MCP servers. The platform powers frontier AI labs with real-world MCP environments and complex agentic tool-use data.
Key features include hosted MCP servers with secure OAuth integration, Slack and Discord clients, a simple web UI for configuration, and a standardized RESTful API for interacting with MCP servers. Klavis AI offers managed sandboxes with auth, seeded state, state export, resets, and parallel isolation for training and eval runs. The platform supports 300+ services with full environment fidelity and provides tools for report generation, YouTube utilities, and document/markdown conversion.
Klavis AI is designed for AI developers, data engineers, AI researchers at frontier labs, and teams building AI agents who need to integrate MCP functionality into their applications. It serves Y Combinator-backed companies and AI platforms like CrewAI, Llamaindex, Together AI, and Fireworks AI. The platform is SOC 2 Type II and GDPR compliant, making it suitable for enterprise use.
Klavis pricing
Pricing model: Freemium
Hobby: Free for 3 user accounts and 100 API calls/month. Pro: $99/month for up to 100 user accounts and 10,000 MCP server calls/month. Team: $499/month for up to 500 user accounts and 100,000 MCP server calls/month. Enterprise: Custom pricing based on usage and needs with dedicated support. The free tier provides basic usage, while paid Pro and Enterprise plans offer progressively more server access, enhanced client features, and dedicated support for professional and business needs.
Klavis pros
- Open-source infrastructure for MCP integration
- Hosted MCP servers ready to use
- Built-in OAuth support for secure integration
- Slack and Discord clients included
- Simple web UI for easy configuration
- Standardized RESTful API interface
- Supports 300+ services
- Live sandboxes with seeded state data
- Parallel isolated runs for training
- One-click reset and teardown
- State export for verification
- Instant state initialization
- SOC 2 Type II and GDPR compliant
- Integrates with major AI platforms (OpenAI, CrewAI, Llamaindex, Together AI)
- Long-horizon complex agentic task support
- Python, TypeScript, and PHP SDK support
- Y Combinator X25 backed company
Klavis cons
- Requires technical expertise for setup
- Free tier limited to 100 API calls/month
- Pro plan at $99/month may be expensive for individuals
- Team plan at $499/month targets larger organizations only
- Enterprise pricing requires sales contact
- MCP concept has learning curve for newcomers
- No self-serve checkout for paid plans
- Primarily focused on AI/ML developers, not general users
Frequently asked questions about Klavis
What is MCP?
Model Context Protocols (MCP) enables tools to be added dynamically at runtime in a standardized way when building AI applications/agents, eliminating the need for preconfigured integrations during design-time. Without MCP, tool integration requires manual database design and updates and custom formatting for each model, leading to significant complexity.
What is Klavis AI?
Klavis AI is building open-source infrastructure designed to make MCP easy for everyone to use, build, and scale. They provide Slack/Discord clients, hosted MCP servers, and a simple web UI to lower the barrier of entry for MCPs. They also provide live environments for training AI agents with real-world MCP environments and complex, long-horizon agentic tool-use data.
Is Klavis AI secure?
Yes, Klavis AI includes security features as part of its solution. They offer Secure Integration with built-in OAuth support, designed to enable secure access to user resources when required by an MCP. The platform is also SOC 2 Type II and GDPR compliant, ensuring enterprise-grade security for data.
How does the Klavis AI API work?
The Klavis AI API provides a standardized RESTful interface to interact with MCP servers. Developers can easily integrate MCP functionality into their applications by making simple API calls, abstracting away the complexity of individual MCP implementations. The API enforces HTTPS in every request to improve data security, integrity, and privacy.
What kind of MCPs can I access through Klavis AI?
You can access popular MCPs as well as in-house MCPs developed by Klavis AI, such as tools for report generation, YouTube utilities, and document/markdown conversion. You can configure these via the web UI. The platform also offers hosted MCP servers for tools like Slack, Jira, and Google Drive.
Does Klavis AI offer different plans or pricing tiers?
Yes, Klavis AI provides tiered plans starting with a free Hobby option for basic usage (3 user accounts, 100 API calls/month), scaling up to paid Pro ($99/month for 100 user accounts, 10,000 MCP calls/month), Team ($499/month for 500 user accounts, 100,000 MCP calls/month), and Enterprise plans with custom pricing that offer progressively more server access, enhanced client features, and dedicated support for professional and business needs.
How can I get support for Klavis AI?
You can join their Discord Community at https://discord.gg/p7TuTEcssn to share use cases, ask questions, and connect with the team. If you have additional questions, you can also contact them directly through their website.
What programming languages does Klavis AI support?
Klavis AI supports Python, TypeScript, and PHP. They provide SDKs and integration guides for these languages, making it easy to integrate MCP servers with your AI applications using your preferred programming language.
What problems does Klavis AI solve for AI agent training?
Klavis AI solves several key problems: managing test accounts with streamlined account management, replacing hours of test data setup with instant state initialization, providing visibility into AI actions through state export for verification, eliminating slow manual cleanup with one-click reset and teardown, and enabling isolated parallel runs instead of sequential blocking runs. They also address short single-step tasks by enabling long-horizon task chains, replace toy benchmark workflows with complex agentic workflows, and swap shallow task context for realistic state and dependencies.
Who are the founders and investors behind Klavis AI?
Klavis AI was founded by Xiangkai Zeng, who is the Co-founder and previously worked at Google DeepMind where he built tool-calling infrastructure at Google Gemini before MCPs existed. The company is Y Combinator X25 batch and has raised a seed round from top firms including HSG (formerly Sequoia China) and Y Combinator, with Diana Hu as the primary YC partner.