Klavis

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Klavis is an AI Agents & Automation tool that provides MCP integration platforms for AI agents to reliably use tools at scale. It offers intelligent connectors to optimize context windows and over 100 prebuilt integrations.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is klavis?

Klavis AI offers MCP integration platforms designed to enable AI agents to reliably use external tools at any scale. It features Strata, intelligent connectors that optimize the context window for AI agents, and a comprehensive MCP Registry with over 100 prebuilt integrations, including OAuth support. Developers can leverage MCP Sandbox for scalable environments suitable for LLM training and reinforcement learning. Klavis supports various integration methods including cloud-hosted, self-hosted Docker containers, Python and TypeScript SDKs, and a REST API, providing flexibility for different development workflows.

Best used for

Ideal for developers and data scientists who need to integrate AI agents with various external tools, optimize context windows for large language models, and train/evaluate LLMs in scalable environments. Especially valuable for those building robust and reliable AI agent applications.

Common actions

integrate AI agents

optimize LLM context

train LLMs

manage AI tools

open-sourceworkflowscollaborationlow-code/no-codedeepfakegithub copilotface swapping"AI Agents"automated workflow

Capabilities

Key features

Intelligent connectors (Strata)
100+ prebuilt integrations
OAuth support
Scalable MCP environments
Python SDK
TypeScript SDK
REST API

Target Audience

developerdata scientiststartup founder

Integrations

gmailslack

Pricing & Plans

Open Source

Not publicly disclosed. Check https://www.klavis.ai for current pricing.

FAQs

What is the core purpose of Klavis AI?

Klavis AI provides integration platforms (MCP) that enable AI agents to reliably use external tools. It focuses on optimizing context windows and offering a wide range of prebuilt integrations to enhance AI agent capabilities.

How can I get started with Klavis AI?

You can start with Klavis AI through a cloud-hosted option, by self-hosting Docker containers for MCP integrations, or by using their Python or TypeScript SDKs. A REST API is also available for direct integration.

Does Klavis AI support custom integrations?

While Klavis AI offers over 100 prebuilt integrations, its architecture, including the MCP Registry and SDKs, suggests flexibility for developers to integrate custom tools or build new MCP servers to extend its capabilities.

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