A curated list of AI tools and resources for developers, see the AI Resources .

Klavis

Klavis is a platform for AI agent tool integrations and MCP orchestration, supporting both cloud-hosted and self-hosted deployments.

Overview

Klavis provides a production-ready platform for AI agents to reliably use external tools at scale via MCP (Model Context Protocol). It offers cloud-hosted services and self-hosting options, SDKs, and prebuilt integrations to accelerate development and deployment of agent-enabled applications.

Key Features

  • Prebuilt integrations and OAuth support to reduce onboarding time.
  • Multiple access methods: REST API, Python/TypeScript SDKs, and CLI.
  • Scalable MCP server model suitable for high-concurrency and multi-tenant environments.

Use Cases

  • Building agents that safely interact with external services like email, calendars and spreadsheets.
  • Encapsulating backend capabilities as MCP tools for conversational assistants and automation.
  • Self-hosted deployments for enterprises that require data residency and compliance.

Technical Highlights

  • Modular MCP architecture with pluggable tool adapters.
  • Actively maintained open-source project under Apache-2.0 license.
  • Language SDKs and examples for common developer workflows.

Comments

Klavis
Resource Info
🧩 MCP 🦾 Agents 🌱 Open Source 📦 SDK