Klavis AI

Klavis AI is an open-source platform that lets AI agents use external tools reliably. It speaks MCP, short for Model Context Protocol, which is a standard way for AI assistants to call software tools. Klavis ships ready-made connectors for popular apps, so agents can read Gmail, update Slack, or file GitHub issues. Developers self-host it with Docker or use the cloud version. It was founded by former Google DeepMind and Lyft engineers. The GitHub project has over 5,000 stars and an active community.

Key Features

1. 100+ prebuilt MCP servers

Klavis includes over 100 ready connectors with OAuth built in. Covered apps include GitHub, Slack, Gmail, Salesforce, Linear, Notion, Jira, and HubSpot.

2. Strata smart connector

Strata loads only the tools an agent needs, when it needs them. This progressive discovery trims context waste and lifts accuracy by about 13 percent.

3. MCP Sandbox

The sandbox gives AI agents live, isolated environments for practice. Teams use it to train models and run reinforcement learning safely.

4. Self-host with Docker

Pull any MCP server as a Docker image and run it on your own machines. This keeps API keys and data inside your network.

5. Cloud-hosted option

Prefer not to manage servers? Use klavis.ai with a free API key. The hosted version handles scaling and OAuth for you.

6. SDKs and REST API

Python and TypeScript SDKs plus a REST API fit any stack. Klavis works with OpenAI, Claude, Gemini, LangChain, LlamaIndex, and CrewAI.

Frequently Asked Questions (FAQ)

What is MCP?

MCP stands for Model Context Protocol. It is a standard that lets AI assistants discover and call external tools, like a universal plug for software. Klavis builds ready-to-use MCP servers so developers skip the wiring.

Is Klavis AI really open source?

Yes. The code lives on GitHub under the Apache open-source license. You can self-host everything with Docker at no license cost. The same team also runs a hosted cloud version.

How does OAuth work with Klavis?

Klavis manages the OAuth login flow for each connected app. Your agent gets working credentials without you storing passwords or tokens by hand. This covers enterprise apps like Salesforce and Google Workspace.

Who is Klavis AI for?

It targets developers building AI agents that need real-world actions. Startups, AI labs, and enterprises use it to connect agents to their existing software stack.

Conclusion

Klavis AI solves the messy middle of agent building: connecting AI to real tools. Its open-source servers and managed OAuth remove weeks of integration work. Strata's smart tool loading helps agents stay accurate as tool counts grow. Both the cloud and self-hosted paths are production-ready. For teams shipping agents that act, not just chat, Klavis is worth a serious look.