Klavis.ai: Secure, Scalable AI Integration with MCP

Klavis.ai is a powerful, open-source platform designed to streamline and secure AI application integrations through Model Control Protocol (MCP) servers. Built for developers and teams building intelligent agents, it eliminates complex auth management and client-side code by offering hosted, enterprise-grade MCP servers with robust security guardrails. With seamless integrations across 30+ tools—including Figma, Notion, GitHub, Gmail, Salesforce, Slack, and Stripe—Klavis.ai enables frictionless automation and enhanced AI agent reliability. Its support for major LLMs like OpenAI, Claude, Gemini, and LlamaIndex, along with SDKs in Python and TypeScript, makes it a versatile choice for AI developers. Advanced features such as real-time observability, continuous learning, white-label integration, and SOC 2 compliance (with GDPR compliance upcoming) ensure high performance and trust. The platform also supports all authorization types with built-in handling and includes an internal Gemini-level evaluation system for precise tool design.

Key Features:

• Hosted, secure MCP servers at scale
• Integrations with Figma, Notion, GitHub, Gmail, Google Drive, Google Calendar, Salesforce, Linear, HubSpot, Asana, Slack, Discord, Jira, Confluence, Supabase, Stripe, Google Sheets, Google Docs, PostgreSQL, Calendly, Airtable, ClickUp, Motion, Attio, Close, Gong, OneDrive, Outlook, Dropbox, LinkedIn, WhatsApp, YouTube, Zendesk, Cloudflare, WordPress, Resend, PostgREST, Firecrawl, and Affinity
• Advanced security guardrails: protection against tool poisoning, prompt injection, privilege escalation, and command injection
• Full support for all authorization types with built-in handling
• Continuous learning for improved AI agent reliability
• White-label integration options for branded deployments
• Internal Gemini-level evaluation system for accurate tool design
• Real-time observability with logs, metrics, and alerts
• SOC 2 compliant; GDPR compliance in progress
• Enterprise-grade security with granular scopes and permissions
• SDKs available for Python and TypeScript
• Integrations with AI frameworks: LlamaIndex, CrewAI, CAMEL-AI, and others
• Multi-language documentation and support (Python, TypeScript, cURL, PHP, Go, Java)
• Early Access MCP Testing and Evaluation Platform
• Klavis Guardrails (beta) for enhanced security
• Klavis Team (launched July 2025) for collaborative MCP development
• Supports integration with any LLM via MCP Servers

Pricing: Klavis.ai offers a Free Hobby plan with 3 user accounts and 100 API calls per month, a Pro plan at $99/month supporting up to 100 users and 10,000 MCP server calls, and a Team plan at $499/month with up to 500 users and 100,000 calls. The Enterprise plan provides usage-based pricing and custom options, including advanced security, dedicated support, and CEO & CTO-level assistance.

Conclusion: Klavis.ai is a cutting-edge, secure, and developer-friendly framework for AI integrations, ideal for teams and enterprises building intelligent agents. Its open-source foundation, extensive tool integrations, and strong security posture make it a top-tier choice for modern AI application development.