At Klavis, we've made this process simple with just two commands. Starting today, it's easy to pull our MCP Server Docker image to instantly spin up any of our high-quality MCP Server.

From https://github.com/Klavis-AI/klavis, it is as simple as:

docker run -p 5000:5000 -e AUTH_DATA='{"access_token":"ghp_your_github_token"}' ghcr.io/klavis-ai/github-mcp-server:latest

Or use our managed OAuth service:

docker run -p 5000:5000 -e KLAVIS_API_KEY=$KLAVIS_API_KEY ghcr.io/klavis-ai/github-mcp-server:latest

No dependency management. No environment setup. For authentication, you can self-host or use our managed OAuth service.

Technical details:

50+ MCP servers available (GitHub, Gmail, Slack, Notion, Jira, Linear, Salesforce, etc.); Lightweight Alpine-based containers; Support for both Klavis-AI OAuth service or BYO tokens; CI/CD ready with automated updates via watchtower; Distributed via GitHub Packages (ghcr.io)

GitHub: https://github.com/Klavis-AI/klavis

Youtube video demo: https://www.youtube.com/watch?v=NITgggPT3pA

Hosted versions: https://www.klavis.ai

One more thing: As AI agents require more tools, they face limitations in tool selection, context window size, and understanding human context. We are building a solution to overcome these constraints, enabling agents to access any tool they need via MCP servers. Join our waitlist to be the first to know when we launch it. https://www.klavis.ai/waitlist