LibreAI / AI Agents / klavis
// agents · Klavis-AI/klavis

klavis

An MCP integration platform that lets AI agents use tools reliably at any scale.

★ 5.8k stars⑂ 564 forksApache-2.0updated 2026-06
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

klavis is an open-source ai agents project by Klavis-AI (Klavis-AI/klavis on GitHub). It has 5,807 GitHub stars and 564 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 1 June 2026.

GitHub stars
5,807
Forks
564
License
Apache-2.0
Last updated on GitHub
1 June 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify which tools your agent needs

    List the integrations (GitHub, Slack, Discord, databases and so on) your agent must call.

  2. Choose your deployment

    Pick cloud-hosted Klavis, a self-hosted MCP server image, the local Strata tool, or the SDK/REST API.

  3. Connect accounts

    Complete OAuth or add credentials for the integrations you selected.

  4. Call your first tool

    Create a Strata server (or a single-integration server) and have your agent call a tool through it.

// features

Why people love it

Hosted MCP servers

Ready MCP servers for popular tools, runnable from published Docker images such as the GitHub MCP server.

Strata unified server

Strata bundles many integrations behind one MCP endpoint, and can also be installed locally with pipx to add stdio servers.

OAuth handled

OAuth2 flows for connected accounts are managed by the platform instead of your agent code.

Python SDK

A Klavis Python SDK creates Strata instances or individual MCP servers programmatically.

REST API option

Everything is also available over a REST API for stacks that do not speak MCP natively.

Cloud or self-host

Start on the hosted platform at klavis.ai or self-host the open-source servers yourself.

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// run it

Run it yourself

  1. Clone the repository

    Clone Klavis to explore the open-source MCP servers.

    git clone https://github.com/Klavis-AI/klavis.git
    cd klavis
  2. Run an MCP integration

    Pull and run an individual MCP server image, for example the GitHub server.

    docker pull ghcr.io/klavis-ai/github-mcp-server:latest
    docker run -p 5000:5000 ghcr.io/klavis-ai/github-mcp-server:latest
  3. Or install Strata locally

    Install the open-source Strata tool and add a stdio MCP server to it.

    pipx install strata-mcp
    strata add --type stdio playwright npx @playwright/mcp@latest
// use cases

What you can build

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// faq

Questions, answered

Who maintains Klavis?

Klavis AI maintains the platform and this repository of open-source MCP servers.

Is Klavis free?

The repository is Apache-2.0 licensed; the hosted Klavis platform has its own plans, while the open-source servers and Strata can be self-hosted for free.

Does it need a paid API key?

Using the hosted platform requires a Klavis API key; self-hosted servers need the credentials of each tool you connect (for example a GitHub token).

How does it compare to Open Connector?

Both connect agents to SaaS tools via MCP; Klavis emphasizes hosted, per-integration MCP servers and its Strata aggregation, while Open Connector emphasizes a self-hosted auth gateway you run inside your own boundary.

How do I get started?

Run one MCP server image with Docker, or pipx install strata-mcp and add your first integration.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if klavis is not the right fit.

Get klavis

Free and open — grab the source, star the repo, and start creating.