Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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.
Show the rest of the publisher’s description (23 more lines)
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
Highlighted by the publisher on AWS Marketplace.
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.
Preview
3 images
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Plans and pricing as listed
8 listed- Units
- Units
- Units
- Units
- Units
- Units
- Units
- Units
Refund terms
As stated by the publisher on AWS Marketplace.
1 month refund.
Sources
Publisher resources
4 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.