SkillAgentSearch skills...

klavis

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

Install / Use

claude mcp add Klavis-AI -- npx -y github:Klavis-AI/klavis

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

87/100

Supported Platforms

Claude Code
Claude Desktop

Our assessment of klavis

klavis scores 87/100 on our quality scale, 249th of 396 Communication skills we index.

Its MCP Server is 6.9 KB long, well organised into 14 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.

With 5,829 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
16/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • Our last check on 2026-10-21 found the source still online.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 93/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

klavis compared with similar skills

All 4 of these similar skills score higher than klavis; compare them before choosing.

SkillScoreStarsUpdatedFormat
klavis (this skill)by Klavis-AI875.8k5mo agoMCP Server
Agent-Reachby Panniantong100109.2ktodayCLAUDE.md
headroomby headroomlabs-ai10078.9ktodayCLAUDE.md
CowAgentby zhayujie10047.8ktodayCLAUDE.md
Scraplingby D4Vinci10097.9ktodayMCP Server

Frequently asked questions

How do I install klavis?
Run claude mcp add Klavis-AI -- npx -y github:Klavis-AI/klavis. The install tabs above show the steps for each supported agent.
Which AI agents does klavis work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is klavis safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 93/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is klavis still maintained?
The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
<div align="center"> <picture> <img src="./docs/images/logo/cover.png" width="100%"> </picture> </div> <div align="center">

Documentation Website Discord

<a href="https://www.producthunt.com/products/strata-2?embed=true&utm_source=badge-top-post-badge&utm_medium=badge&utm_source=badge-strata&#0045;2" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=1016948&theme=light&period=daily&t=1758639605639" alt="Strata - One&#0032;MCP&#0032;server&#0032;for&#0032;AI&#0032;agents&#0032;to&#0032;handle&#0032;thousands&#0032;of&#0032;tools | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>

</div>

🎯 Choose Your Solution

<div align="center"> <table> <tr> <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;"> <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;"> <div> <h2>Strata</h2> <p><strong>Intelligent connectors for your AI agent, optimize context window</strong></p> </div> <div> <a href="https://www.klavis.ai/docs/concepts/strata"> <img src="https://img.shields.io/badge/Explore-Strata-blue?style=for-the-badge&logo=data:image/svg+xml;base64,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" height="40"> </a> </div> </div> </td> <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;"> <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;"> <div> <h2>MCP Integrations</h2> <p><strong>100+ prebuilt integrations out-of-the-box, with OAuth support</strong></p> </div> <div> <a href="https://www.klavis.ai/docs/mcp-server/overview"> <img src="https://img.shields.io/badge/Explore-MCP%20Servers-purple?style=for-the-badge&logo=data:image/svg+xml;base64,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" height="40"> </a> </div> </div> </td> <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;"> <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;"> <div> <h2>MCP Sandbox</h2> <p><strong>scalable MCP environments for LLM training and RL</strong></p> </div> <div> <a href="https://www.klavis.ai/docs/concepts/sandbox"> <img src="https://img.shields.io/badge/Explore-Sandbox-orange?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQgNEgyMFY4TDE4IDEwTDIwIDE2VjIwSDRWMTZMNiAxMEw0IDhWNFoiIHN0cm9rZT0id2hpdGUiIHN0cm9rZS13aWR0aD0iMiIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIiBzdHJva2UtbGluZWpvaW49InJvdW5kIi8+CjxwYXRoIGQ9Ik00IDhIMjAiIHN0cm9rZT0id2hpdGUiIHN0cm9rZS13aWR0aD0iMiIvPgo8cGF0aCBkPSJNNCAxNkgyMCIgc3Ryb2tlPSJ3aGl0ZSIgc3Ryb2tlLXdpZHRoPSIyIi8+Cjwvc3ZnPg==" height="40"> </a> </div> </div> </td> </tr> </table> </div>

Quick Start

Option 1: Cloud-hosted - klavis.ai

Quickstart guide →

Option 2: Self-host

# Run any MCP Integration
docker pull ghcr.io/klavis-ai/github-mcp-server:latest
docker run -p 5000:5000 ghcr.io/klavis-ai/github-mcp-server:latest

# Install Open Source Strata locally
pipx install strata-mcp
strata add --type stdio playwright npx @playwright/mcp@latest

Option 3: SDK

# Python SDK
from klavis import Klavis
from klavis.types import McpServerName

klavis = Klavis(api_key="your-key")

# Create Strata instance
strata = klavis_client.mcp_server.create_strata_server(
    user_id="user123",
    servers=[McpServerName.GMAIL, McpServerName.SLACK],
)

# Or use individual MCP servers
gmail = klavis.mcp_server.create_server_instance(
    server_name=McpServerName.GMAIL,
    user_id="user123",
)
// TypeScript SDK
import { KlavisClient, McpServerName } from 'klavis';

const klavis = new KlavisClient({ apiKey: 'your-api-key' });

// Create Strata instance
const strata = await klavis.mcpServer.createStrataServer({
    userId: "user123",
    servers: [Klavis.McpServerName.Gmail, Klavis.McpServerName.Slack],
});

// Or use individual MCP servers
const gmail = await klavis.mcpServer.createServerInstance({
    serverName: McpServerName.GMAIL,
    userId: "user123"
});

Option 4: REST API

# Create Strata server
curl -X POST "https://api.klavis.ai/v1/mcp-server/strata" \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "user_id": "user123",
    "servers": ["GMAIL", "SLACK"]
  }'

# Create individual MCP server
curl -X POST "https://api.klavis.ai/v1/mcp-server/instance" \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "server_name": "GMAIL",
    "user_id": "user123"
  }'

Resources


<div align="center"> <p><strong>Made with ❤️ by the Klavis Team</strong></p> </div>

Related Skills

View on GitHub
GitHub Stars5.8k
CategoryCommunication
Updated5mo ago
Forks570

Languages

Python

Trust signals

93/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low1 info
klavis — MCP Server: Install & Safety Check | SkillAgent