Sold by: Klavis AI
Klavis AI is the open-source Model Context Protocol (MCP) integration platform that enables AI agents to reliably use tools and APIs at any scale. Our infrastructure automates complex, multi-app workflows by connecting Large Language Models (LLMs) to your existing services with managed authentications and enterprise-grade security.
Overview
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Klavis Strata
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Klavis MCP server UI
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Klavis Strata Built for Developers
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Klavis is available open source.
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Transform Your AI Applications with Enterprise-Grade MCP Integration
Klavis AI is the leading infrastructure platform for integrating Model Context Protocol (MCP) servers into AI applications at enterprise scale. Founded by ex-Google DeepMind and ex-Lyft engineers, and backed by Y Combinator (X25), we solve the critical challenge of connecting AI agents and large language models to external tools, data sources, and APIs with production-grade reliability.
Why Klavis AI?
The Challenge: Modern AI applications struggle with "tool overload" - when AI agents are presented with hundreds of tools simultaneously, performance degrades significantly. Traditional MCP implementations require complex client-side code, manual OAuth management, and lack enterprise security features.
Our Solution: Klavis AI provides hosted, secure MCP servers with built-in OAuth support and our revolutionary Strata unified server that uses progressive tool discovery. Instead of overwhelming AI agents with every available tool, Strata guides them through intent recognition, category navigation, and action selection - revealing API details only when needed.
Key Features & Benefits:
- Production-Ready MCP Servers: Pre-built integrations with GitHub, GitLab, Slack, Discord, Gmail, Salesforce, HubSpot, Notion, Google Drive, Linear, Jira, and more
- Strata Unified MCP Server: Progressive discovery achieves +13-15% higher success rates vs. standard MCP servers and 83%+ accuracy on complex workflows
- Managed OAuth Authentication: Eliminate weeks of development time with built-in OAuth 2.0 for all integrated services
- Multiple Deployment Options: Cloud-hosted SaaS, open-source self-hosting, SDK integration (Python/TypeScript), or direct REST API
- Enterprise Security: Multi-tenancy authentication, user-based access controls, advanced security guardrails, and dedicated infrastructure
- Developer-Friendly: Ready in under 2 minutes, compatible with Claude, Cursor, VSCode, CrewAI, LlamaIndex, and custom LLM applications
Technical Architecture:
Klavis AI supports the complete MCP specification with JSON-RPC 2.0, providing both STDIO for local integrations and HTTP+SSE for remote connections. Our platform handles the complexity of authentication, rate limiting, error handling, and API versioning so your team can focus on building AI features.
Performance Metrics:
- +13.4% improvement over official Notion MCP server
- +15.2% improvement over official GitHub MCP server
- 83%+ accuracy on multi-app workflows
- 5.3K GitHub stars with active open-source community
Who Uses Klavis AI:
AI-driven companies building chatbots, IDE assistants, automation agents, and agentic workflows trust Klavis AI for reliable tool integration. Our customers include YC-backed startups, enterprise development teams, and AI product companies requiring scale and security.
Getting Started:
Deploy in minutes with our hosted service, integrate via SDK, or self-host our open-source Docker containers. Start with our free Hobby plan or choose Pro, Team, or Enterprise plans for production deployments.
Support & Resources:
Dedicated support channels, comprehensive documentation, active Discord community, and direct access to our engineering team ensure your success. Enterprise customers receive support directly from our CEO & CTO.
Highlights
- Strata Unified MCP Server with progressive tool discovery achieves 83%+ accuracy on complex AI workflows - outperforming standard MCP implementations by 13-15%. Connect AI agents to integrations including GitHub, Slack, Salesforce, Notion, HubSpot, and more without overwhelming your LLM with tool overload.
- Enterprise-grade managed OAuth authentication eliminates weeks of development time. Built-in OAuth 2.0 support, multi-tenancy, user-based access controls, and advanced security guardrails ensure production-ready deployments. Deploy via hosted SaaS, open-source Docker, SDK (Python/TypeScript), or REST API.
- Built by ex-Google DeepMind engineers who created Gemini's function calling infrastructure. YC-backed (X25) with 5.3K GitHub stars. Ready in under 2 minutes with compatibility across Claude, Cursor, VSCode, CrewAI, LlamaIndex, and custom LLM applications. Start free with Hobby plan or scale to Enterprise.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Hobby Plan | For Hobby users. Up to 3 user accounts and 500 tool calls / month. Additional $0.05 / tool call | $0.00 |
Pro Plan | For Professional users. Up to 100 user accounts and 10k tool calls / month. Additional $0.02 / tool call | $99.00 |
Team Plan | For Team users. Up to 5000 user accounts and 100k tool calls / month. Additional $0.01 / tool call | $499.00 |
Enterprise | On-prem support. Custom user accounts and usage. Forward Deployment. Custom Integrations. | $4,999.00 |
Dimensions summary
This listing offers four contract plans that scale by user accounts and monthly tool calls. The Hobby Plan covers up to 3 users and 500 tool calls. The Pro Plan covers up to 100 users and 10k tool calls. The Team Plan covers up to 5000 users and 100k tool calls. Each of these three plans charges a per-tool-call rate once you exceed the included monthly allowance, and that overage rate drops as the plan tier rises. The Enterprise plan uses custom user and usage limits, adds on-prem support, forward deployment, and custom integrations.
Top-of-mind questions for buyers
A tool call is one request your application makes through the API to a hosted MCP server. Each MCP action, such as running a report or fetching data, counts as a single tool call. Your plan includes a monthly allowance, and calls above that allowance bill at the per-call overage rate.
You keep running without interruption. Once you pass your plan's included allowance, each additional tool call bills at your plan's per-call overage rate. That rate is fixed by your plan tier and drops as you move from Hobby to Pro to Team. The Enterprise plan uses custom usage limits instead.
Your plan sets a cap on user accounts and an included monthly tool-call allowance. User accounts must stay within your plan's limit. Tool calls drive variable cost, since usage above the allowance bills per call. High call volume raises your bill more than adding users within the limit.
www.klavis.ai
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1 month refund.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Contact connect@klavis.ai for email support. Pro and Team plans include dedicated support channels. Enterprise customers receive direct support from our CEO & CTO. Access comprehensive documentation at docs.klavis.ai, join our active Discord community for real-time assistance, and explore tutorials on our YouTube channel. Response time: Under 24 hours for Pro/Team plans, under 4 hours for Enterprise customers.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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