Infrastructure & MLOps

Klavis

Klavis AI is an open-source infrastructure platform designed to integrate the Model Context Protocol (MCP) into AI applications. It provides production-ready MCP servers for over 50 tools including GitHub, Slack, Google Drive, Notion, Jira, and Gmail, enabling AI agents to interact with external services without requiring custom integration code. The platform supports multi-channel deployment across Slack, Discord, and web interfaces, facilitating tasks such as report generation, document conversion, and data analysis. Klavis includes the Strata progressive discovery system, which categorizes tools and APIs to prevent AI agents from being overwhelmed by multiple integrations, thereby improving reliability. The platform handles authentication and security concerns like OAuth and multi-tenancy, reducing development time for API connections. Its open-source modular architecture allows developers to extend functionality with custom MCP servers and over 100 tool integrations.

Updated Dec 21, 2025unknown

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Overview

Klavis is an open-source platform providing pre-built MCP servers and multi-channel clients to integrate AI agents with external tools like Slack, Gmail, and GitHub.

Pricing

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AI Agent Integration

Developers can integrate AI agents with multiple external services like Slack, Gmail, and GitHub without writing custom integration code.

Multi-Platform AI Workflows

Teams can deploy AI workflows across Slack, Discord, and web interfaces to automate tasks such as report generation and document conversion.

Quick Start

Generate API Key

Create MCP Servers

Use the API key to call endpoints like client.mcp_server.create_strata_server for tools such as Gmail or Slack.

Integrate with Clients

Deploy AI workflows via Slack, Discord, or web clients for tasks like report generation and document analysis.

Use Open-Source Version

Visit the GitHub repository to review READMEs and run MCP servers and clients locally.

Consult Documentation

Refer to https://www.klavis.ai/docs or https://docs.klavis.ai for API references and usage examples.

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Assessment

Strengths

Provides over 50 pre-built MCP servers, significantly reducing development time for tool integrations.
Automatically handles OAuth and authentication for enterprise tools.
Strata system improves AI agent reliability by managing tool overload.
Supports multi-platform deployment on Slack, Discord, and web interfaces.
Open-source components enable customization and community contributions.

Limitations

Adding custom MCP servers requires reviewing GitHub documentation and setup processes to ensure reliability.
Discovery of available servers depends on API endpoints, which may require additional verification.
Hosted features necessitate website login and API key generation before use.