Klavis

Klavis is an advanced developer-focused platform designed to bridge the gap between AI applications and the vast ecosystem of external software tools. Backed by Y Combinator, Klavis offers a robust infrastructure for creating and managing Model Context Protocol (MCP) integrations. This allows developers to empower their AI agents with the ability to perform complex tasks by securely interacting with services like Google Workspace, Salesforce, Slack, Notion, and many more. The core mission of Klavis is to abstract away the complexities of API authentication (like OAuth), security, and scalability, providing a streamlined path to building sophisticated, tool-aware AI systems.

The platform is built with enterprise-grade security at its core. The Klavis Guardrails Architecture provides a multi-layered defense system against common vulnerabilities such as tool poisoning, prompt injection, and privilege escalation. With SOC 2 compliance and granular control over API scopes and permissions, Klavis ensures that data interactions are both secure and private. This focus on security and reliability makes it a trusted choice for everyone from next-generation startups to established enterprises.

How to use Klavis

Integrating Klavis into an AI project is designed to be straightforward and can be accomplished in minutes. The process typically involves these steps:

1. Installation: Begin by installing the Klavis SDK, which is available for both Python (`pip install klavis`) and TypeScript.
2. Initialization: Instantiate the Klavis client in your application code using your unique API key.
3. Create an MCP Server Instance: Use the client to create a connection to a specific tool. You'll need to specify the server name (e.g., 'gmail', 'salesforce'), a user ID for session management, and the platform name.
4. Integrate with AI Frameworks: Seamlessly connect Klavis with popular AI development frameworks such as LangChain, LlamaIndex, CrewAI, and OpenAI. This allows your AI model (like GPT, Claude, or Gemini) to recognize and use the integrated tools to perform actions.
5. Deploy: Once integrated, your AI agent can now execute tool calls through Klavis's secure and reliable MCP servers, handling tasks like sending emails, retrieving CRM data, or managing project boards.

Core Features of Klavis

• Extensive MCP Integrations: A massive library of pre-built, high-quality integrations for thousands of tools across categories like CRM, Project Management, Dev Tools, and Productivity.
• Developer SDKs: Official SDKs for Python and TypeScript to ensure a smooth and rapid integration experience.
• Enterprise-Grade Security: Features the Klavis Guardrails Architecture to protect against threats, offers granular permission controls, and is SOC 2 certified.
• Built-in Authorization Handling: Natively supports all major authorization types, including a white-label OAuth option that allows businesses to present the integration flow under their own brand.
• High-Performance MCP Servers: Hosted on dedicated cloud infrastructure, ensuring stable, reliable, and accurate tool calls for optimal agent performance.
• Evaluation & Analytics: Provides a real-time observability suite with logs, metrics, and alerts, plus an internal Gemini-level evaluation system to ensure tool design is effective.
• Continuous Learning System: An evolving flywheel system that learns from interactions to continuously improve the reliability and capability of your AI agents.

Use Cases for Klavis

Klavis empowers a wide range of AI-driven automation and assistance scenarios:

• Automated Sales & CRM Management: Build agents that can automatically log activities, update contacts in Salesforce or HubSpot, and send personalized follow-up emails via Gmail.
• AI-Powered Research & Content Creation: Create an agent that can research topics using Firecrawl, access documents in Google Drive, and draft reports or investment memos.
• Project Management Automation: Develop AI assistants that can create tasks in Asana or Jira, post updates to Slack or Discord, and manage schedules in Google Calendar.
• Custom AI Assistants: Integrate with platforms like LlamaIndex or CrewAI to build bespoke agents that connect to any combination of tools, such as YouTube for data retrieval or Stripe for payment information.
• Enhanced Coding Environments: Supercharge AI coding assistants like Cursor by giving them the ability to interact with GitHub, Jira, and other developer tools directly.

Advantages of Klavis

Klavis offers significant advantages for developers building AI applications:

• Accelerated Development: Eliminates the need to manually code complex OAuth flows and API integrations, reducing development time from weeks to minutes.
• Superior Security & Compliance: Offloads security concerns with a robust, SOC 2 certified infrastructure, protecting both your application and your users' data.
• Scalability and Reliability: Built to scale from a single user to millions, with dedicated infrastructure ensuring high availability and consistent performance.
• Enhanced Agent Capabilities: High-quality, reliable tool integrations lead to more accurate and effective AI agents that can successfully complete complex, multi-step tasks.
• Developer-Centric Experience: Designed by developers for developers, with clear documentation, easy-to-use SDKs, and strong community support.
• Branding Control: The white-label OAuth feature enables a seamless user experience, maintaining brand consistency throughout the application.

Pricing and Plans

Klavis offers a flexible pricing structure to accommodate different scales of use, with a 20% discount on annual billing.

• Hobby (Free): Includes 3 user accounts, 100 API calls per month, and community support. Ideal for personal projects and initial testing.
• Pro ($99/month): Offers up to 100 user accounts, 10,000 MCP server calls per month, and dedicated support. Suitable for startups and small teams.
• Team ($499/month): Provides up to 500 user accounts, 100,000 MCP server calls per month, and dedicated support. Designed for growing businesses and larger teams.
• Enterprise (Custom Pricing): A tailored plan with usage-based pricing, custom user accounts and call limits, and direct support from the CEO & CTO.

Custom plans are also available for small teams and non-profits upon request.